# Metix AI Talent Intelligence Reports Curated talent-intelligence reports from Metix AI. Each HTML report has a markdown mirror at the same path with a .md suffix. Figures below are aggregate statistics only. ## Reports - [Cutting Technical Roles While Hiring for Sales and Delivery: Salesforce After Agentforce Passed $1B | Metix AI](https://metix.ai/reports/mapping/salesforce-agentforce-hiring-2026): this page answers R&D is 10.4% of Salesforce's 1,713 US open roles; sales plus delivery is 6.4× R&D. Agentforce titles rose 101→213, mostly sales and delivery. - Markdown: https://metix.ai/reports/mapping/salesforce-agentforce-hiring-2026.md - [SI GenAI Delivery Bench 2026: 126 Mapped Seats Against 42 Jobs at Four Integrators | Metix AI](https://metix.ai/reports/mapping/si-genai-delivery-bench-2026): As of August 31, 2026 PT, four system integrators map 126 current GenAI / Data-and-AI delivery seats against 42 mapped open jobs. https://metix.ai/reports/mapping/si-genai-delivery-bench-2026 - Markdown: https://metix.ai/reports/mapping/si-genai-delivery-bench-2026.md - [The Wall Street Talent War: Mapping Senior Banker Flows Across 11 Investment Banks | Metix AI](https://metix.ai/reports/mapping/wall-street-senior-banker-2026): this page answers 101 senior-banker moves, 11 U.S. banks, 2024-2026. Category: MD, Partner, Head of, Chairman, CEO, or CIO. 18 to boutiques, 4 back. For IB recruiters and TA. - Markdown: https://metix.ai/reports/mapping/wall-street-senior-banker-2026.md - [From Data Engineering to AI Agents: How Databricks Is Reshaping the Enterprise Data Stack | Metix AI](https://metix.ai/reports/mapping/databricks-ai-talent-strategy-2026): this page answers Across the US, India and the Netherlands: Forward Deployed Engineer postings grew about 40× in three months, Lakebase is the product reshaping the mix, and Agent remains product language. - Markdown: https://metix.ai/reports/mapping/databricks-ai-talent-strategy-2026.md - [AI Infra Talent Race: Roles Constraining Compute Buildout | Metix AI](https://metix.ai/reports/mapping/nvidia-ai-infrastructure-talent-race-2026): this page answers Roles are the constraint on compute buildout. NVIDIA and Wall Street have moved to mobilize more than $500B for AI infrastructure — the race is which seats can deliver it. - Markdown: https://metix.ai/reports/mapping/nvidia-ai-infrastructure-talent-race-2026.md - [Six Banks and $500B+ AI-Infra Capital: The Talent Layer | Metix AI](https://metix.ai/reports/mapping/ai-infra-capital-talent-2026): this page answers 3,633 visible profiles, not official headcount, map talent around NVIDIA and six institutions' $500B+ target across 14 firms. For recruiters, TA, and VC. - Markdown: https://metix.ai/reports/mapping/ai-infra-capital-talent-2026.md - [Jeff Dean leaves Google, revealing AI’s next talent gap | Metix AI](https://metix.ai/reports/mapping/ai-next-talent-gap-2026): this page answers 25 Research Engineering postings sit among 264 peer-company jobs for Discovery Loop. Supply is 594 people across 12 roles. For recruiters, TA, and VC. - Markdown: https://metix.ai/reports/mapping/ai-next-talent-gap-2026.md - [AI Agent talent structure | Metix AI](https://metix.ai/reports/mapping/ai-agent-talent-supply-demand-gap-2026): this page answers Covering 32 U.S. companies, based on 259 Agent JDs and 513 observed current Agent professionals, comparing job groups, company gaps, talent sources, movement paths, and geography. - Markdown: https://metix.ai/reports/mapping/ai-agent-talent-supply-demand-gap-2026.md - [OpenAI, Anthropic and xAI Talent Structure Benchmark | Metix AI](https://metix.ai/reports/mapping/openai-anthropic-xai-talent-structure): this page answers 9,421 U.S. public profiles: OpenAI 5,313, Anthropic 2,612, xAI 1,496. Engineering is 40.3-44.7%; xAI human data is 28.4%. For recruiters, TA, and VC. - Markdown: https://metix.ai/reports/mapping/openai-anthropic-xai-talent-structure.md - [Overseas chip R&D and manufacturing talent report | Metix AI](https://metix.ai/reports/mapping/overseas-chip-rd-manufacturing-talent-2026): this page answers Covering 10 countries, 58 chip R&D and manufacturing companies, and 101,975 talent leads across design, manufacturing, equipment, EDA/IP, materials and packaging — plus 48 gated priority targets. - Markdown: https://metix.ai/reports/mapping/overseas-chip-rd-manufacturing-talent-2026.md - [FinTech Engineering Talent Momentum Leaderboard 2026 | Metix AI](https://metix.ai/reports/mapping/fintech-talent-momentum-2026): this page answers 30 fintech leaders, 25,860 current engineers: who net-imports talent, who bleeds it, where the biggest talent pipe runs, and where founders spill over. - Markdown: https://metix.ai/reports/mapping/fintech-talent-momentum-2026.md - [AI Video Generation Talent Map 2026 | Metix AI](https://metix.ai/reports/mapping/ai-video-generation-talent-2026): this page answers We break down the real R&D teams at Runway / Luma / Pika / Higgsfield / Decart / HeyGen / Synthesia: how big, who they are, where they come from, where they si… - Markdown: https://metix.ai/reports/mapping/ai-video-generation-talent-2026.md - [AI Compute & Chip Talent Map 2026 | Metix AI](https://metix.ai/reports/mapping/ai-infra-chip-talent-2026): this page answers We x-rayed 15 U.S. AI-compute / chip companies and 56,861 current engineering and research professionals, reading their résumés as data. The conclusion is more… - Markdown: https://metix.ai/reports/mapping/ai-infra-chip-talent-2026.md - [OpenAI Engineering Talent X-Ray | Metix AI](https://metix.ai/reports/mapping/openai-engineering-xray-2026): this page answers A full-population profile of 3,041 OpenAI engineers from Metix AI's global talent pool — seniority, hiring pace, skills, sources, education and levels — revealing an org that hires builders, not researchers. - Markdown: https://metix.ai/reports/mapping/openai-engineering-xray-2026.md - [Anthropic Engineering Talent X-Ray | Metix AI](https://metix.ai/reports/mapping/anthropic-engineering-xray-2026): this page answers Metix AI ran a full profile of Anthropic's current technical team — 1,281 engineers and researchers. We lay out their seniority, tenure, skills, sources, educa… - Markdown: https://metix.ai/reports/mapping/anthropic-engineering-xray-2026.md - [Quant Finance × AI Talent Flow | Metix AI](https://metix.ai/reports/mapping/quant-ai-talent-2026): this page answers 367 people now at frontier AI labs came from 25 top quant firms (233 from full-time quant seats); 90 went the other way. 29,317 profiles. For recruiters and VC. - Markdown: https://metix.ai/reports/mapping/quant-ai-talent-2026.md - [Frontier AI Lab Talent Landscape & Flow Map | Metix AI](https://metix.ai/reports/mapping/frontier-ai-labs-talent-2026): this page answers 13 frontier AI labs: 19,057 visible profiles in the US, UK, and France, 11,914 technical. OpenAI, DeepMind, xAI, Mistral included. For recruiters, TA, and VC. - Markdown: https://metix.ai/reports/mapping/frontier-ai-labs-talent-2026.md - [Clinical AI & Health Systems Talent Map (U.S.) | Metix AI](https://metix.ai/reports/mapping/clinical-ai-healthcare-2026): this page answers 22 clinical-AI companies & hospital AI teams: locating the rare bilingual talent fluent in both clinical workflow and machine learning, and their source pipelines. - Markdown: https://metix.ai/reports/mapping/clinical-ai-healthcare-2026.md - [TechBio / AI Drug Discovery Talent Map | Metix AI](https://metix.ai/reports/mapping/techbio-ai-pharma-2026): this page answers 6,420 visible profiles at 35 AI drug-discovery and big-pharma AI teams; 4,374 computational/ML. Includes Atomwise (now Numerion) and BenevolentAI. For TA and VC. - Markdown: https://metix.ai/reports/mapping/techbio-ai-pharma-2026.md - [Embodied AI & Humanoid Robots Talent Map | Metix AI](https://metix.ai/reports/mapping/embodied-ai-humanoid-2026): this page answers 1,930 visible profiles at 13 humanoid and embodied-AI players, 1,044 technical; Apptronik has 316 (146 technical). For recruiters and TA, not official headcount. - Markdown: https://metix.ai/reports/mapping/embodied-ai-humanoid-2026.md - [Game Engine × World Model Talent Corridor | Metix AI](https://metix.ai/reports/mapping/game-engine-world-model-2026): this page answers 486 engine-side graphics specialists (pool 4,725 / 4 companies) and 11.7% engine pedigree on the world-model side (72/618). - Markdown: https://metix.ai/reports/mapping/game-engine-world-model-2026.md - [Overseas Jobs — Structure Report | Metix AI](https://metix.ai/reports/mapping/job-distribution-ex-china-2026): this page answers Structure of active job postings outside China — across country, function, industry and job category — showing where hiring demand concentrates. Bilingual. - Markdown: https://metix.ai/reports/mapping/job-distribution-ex-china-2026.md ## Series reports - [Data Engineer Employed vs Open: Netflix 173 against 5 | Metix AI](https://metix.ai/reports/series/data-eng-employed-vs-open-2026): As of 2026-09-22 PT, Airbnb is 79.0× (79/1 employed/open). - Also citeable: As of 2026-09-22 PT, Netflix is 34.6× (173/5 employed/open). - Also citeable: As of 2026-09-22 PT, Uber is 89/0 employed/open (opens not captured). - Also citeable: As of 2026-09-22 PT, Databricks is 85/0 employed/open (opens not captured). - Also citeable: As of 2026-09-22 PT, Snowflake is 40/0 employed/open (opens not captured). - Also citeable: Deepest bench is Netflix at 173 employed Data Engineers; busiest open board is Netflix at 5 roles (173/5). - Also citeable: Ratio lead Airbnb (79.0×, 79/1) is not the same host as bench lead Netflix (173) — volume and door density are different decisions. - Markdown: https://metix.ai/reports/series/data-eng-employed-vs-open-2026.md - [Account Manager employed per open role | Metix AI](https://metix.ai/reports/series/account-mgr-employed-vs-open-2026): As of 2026-10-25 PT, Microsoft is 523.4× (8374/16 employed/open). - Also citeable: As of 2026-10-25 PT, Salesforce is 303.0× (909/3 employed/open). - Also citeable: As of 2026-10-25 PT, Amazon is 155.5× (18660/120 employed/open). - Also citeable: Deepest bench is Amazon at 18660 employed Account Managers; busiest open board is Amazon at 120 roles (18660/120). - Also citeable: Ratio lead Microsoft (523.4×, 8374/16) is not the same host as bench lead Amazon (18660) — volume and door density are different decisions. - Also citeable: Cut: employed Account Manager against captured open roles; as of 2026-10-25 PT; source Metix AI; ratio lead 8374/16. - Markdown: https://metix.ai/reports/series/account-mgr-employed-vs-open-2026.md - [Anthropic market-entry geography | Metix AI](https://metix.ai/reports/series/anthropic-market-entry-geo-2026): As of 2026-10-25 PT, Anthropic has 3527 current people; United States is 2849/3527 (80.8%) of the seat. - Also citeable: United States is the lead site with 2849/3527 current people (80.8%) of the seat. - Also citeable: United Kingdom is next with 198/3527 current people (5.6%) of the seat. - Also citeable: The top two countries are 3047/3527 (86.4%) of the seat. - Also citeable: The country cells sum to 3148/3527, the measured part of the seat; do not read the cells as a separate headcount. - Also citeable: The page covers 4 measured countries: United States 2849; United Kingdom 198; Ireland 55; Canada 46. Each site needs at least 30 people. - Also citeable: Site counts come from current people at www.anthropic.com; as of 2026-10-25 PT. Prefer United States this week. - Markdown: https://metix.ai/reports/series/anthropic-market-entry-geo-2026.md - [observability vendor bench for Site Reliability Engineer | Metix AI](https://metix.ai/reports/series/observability-sre-vendor-bench-2026): As of 2026-10-25 PT, Splunk holds 112/200 current Site Reliability Engineer profiles (56.0%) of the bench. - Also citeable: The top two vendors, Splunk and Elastic, are 168/200 (84.0%) of the bench. - Also citeable: The tail is New Relic at 14/200 profiles (7.0%) of the bench. - Also citeable: Second place Elastic is 56/200 (28.0%) of the bench. - Also citeable: The bench total is 200, the sum of 4 included vendor records, not any one company's headcount. - Also citeable: Inclusion rule: at least 12 current Site Reliability Engineer per vendor; the lowest included vendor here is New Relic at 14/200 of the bench. - Also citeable: The lead vendor, Splunk, is 56 profiles ahead of Elastic on the Site Reliability Engineer seat. - Markdown: https://metix.ai/reports/series/observability-sre-vendor-bench-2026.md - [Partner Manager Peer Pack: ServiceNow 136 vs SAP 127 | Metix AI](https://metix.ai/reports/series/partner-mgr-peer-pack-2026): As of 2026-10-25 PT, ServiceNow current Partner Manager is 136/449 (30.3% of the pack) on the ServiceNow exclusive homepage record (www.servicenow.com). - Also citeable: As of 2026-10-25 PT, SAP current Partner Manager is 127/449 (28.3% of the pack) on the SAP exclusive homepage record (www.sap.com). - Also citeable: As of 2026-10-25 PT, Oracle current Partner Manager is 69/449 (15.4% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-25 PT, IBM current Partner Manager is 65/449 (14.5% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-10-25 PT, Cisco current Partner Manager is 52/449 (11.6% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: Partner manager peer pack total 449 (136 + 127 + 69 + 65 + 52); top two ServiceNow+SAP hold 263/449 (58.6%). - Also citeable: Anchor-to-tail gap: ServiceNow 136 vs Cisco 52, about 2.62×; as of 2026-10-25 PT. - Markdown: https://metix.ai/reports/series/partner-mgr-peer-pack-2026.md - [ServiceNow seat shelf | Metix AI](https://metix.ai/reports/series/servicenow-company-teardown-2026): As of 2026-10-25 PT, ServiceNow has 29127 people current. - Also citeable: As of 2026-10-25 PT, ServiceNow Software Engineer is 4279, with senior-titled 2492/4279. - Also citeable: As of 2026-10-25 PT, ServiceNow Product Manager is 887, with senior-titled 414/887. - Also citeable: As of 2026-10-25 PT, ServiceNow Designer is 500, with senior-titled 5/500. - Also citeable: As of 2026-10-25 PT, ServiceNow Engineering Manager is 351, with senior-titled 131/351. - Also citeable: As of 2026-10-25 PT, ServiceNow Machine Learning Engineer is 236, with senior-titled 115/236. - Also citeable: Named seats total 6253/29127 (21.5%); other titles 22874/29127 (78.5%). - Also citeable: Software Engineer is 14.7% of the bench (4279/29127); second is Product Manager at 887. - Markdown: https://metix.ai/reports/series/servicenow-company-teardown-2026.md - [Splunk to Palo Alto Networks talent flow | Metix AI](https://metix.ai/reports/series/splunk-to-security-vendors-talent-flow-2026): As of 2026-10-25 PT, 169 people are current at Palo Alto Networks and previously at Splunk; 169 = 0.9% of Palo Alto Networks's 18339. - Also citeable: As of 2026-10-25 PT, 129 people are current at CrowdStrike and previously at Splunk; 129 = 1.4% of CrowdStrike's 9362. - Also citeable: As of 2026-10-25 PT, 53 people are current at Zscaler and previously at Splunk; 53 = 0.6% of Zscaler's 8621. - Also citeable: The measured Splunk wires on this page sum to 351/3 people across destinations. - Also citeable: Absolute lead is Palo Alto Networks (169); penetration lead is CrowdStrike (1.4%, 129/9362) — not the same destination. - Also citeable: Cut: current at destination and previously at Splunk; wires sum 351/3 destinations; as of 2026-10-25 PT. - Markdown: https://metix.ai/reports/series/splunk-to-security-vendors-talent-flow-2026.md - [Software Engineer (autonomy) Peer Pack: Tesla 2033 vs Waymo 1107 | Metix AI](https://metix.ai/reports/series/swe-autonomy-peer-pack-2026): As of 2026-10-25 PT, Tesla current Software Engineer is 2033/4454 (45.6% of the pack) on the Tesla exclusive homepage record (www.tesla.com). - Also citeable: As of 2026-10-25 PT, Waymo current Software Engineer is 1107/4454 (24.9% of the pack) on the Waymo exclusive homepage record (www.waymo.com). - Also citeable: As of 2026-10-25 PT, Zoox current Software Engineer is 653/4454 (14.7% of the pack) on the Zoox exclusive homepage record (www.zoox.com). - Also citeable: As of 2026-10-25 PT, Aurora current Software Engineer is 467/4454 (10.5% of the pack) on the Aurora exclusive homepage record (www.aurora.tech). - Also citeable: As of 2026-10-25 PT, Nuro current Software Engineer is 194/4454 (4.4% of the pack) on the Nuro exclusive homepage record (www.nuro.ai). - Also citeable: Software engineering peer pack total 4454 (2033 + 1107 + 653 + 467 + 194); top two Tesla+Waymo hold 3140/4454 (70.5%). - Also citeable: Anchor-to-tail gap: Tesla 2033 vs Nuro 194, about 10.48×; as of 2026-10-25 PT. - Markdown: https://metix.ai/reports/series/swe-autonomy-peer-pack-2026.md - [Apple to Zoox talent flow | Metix AI](https://metix.ai/reports/series/apple-to-autonomy-talent-flow-2026): As of 2026-10-23 PT, 174 people are current at Zoox and previously at Apple; 174 = 4.5% of Zoox's 3888. - Also citeable: As of 2026-10-23 PT, 172 people are current at Waymo and previously at Apple; 172 = 5.1% of Waymo's 3356. - Also citeable: As of 2026-10-23 PT, 57 people are current at Aurora and previously at Apple; 57 = 3.0% of Aurora's 1929. - Also citeable: The measured Apple wires on this page sum to 403 people across 3 destinations. - Also citeable: Absolute lead is Zoox (174); penetration lead is Waymo (5.1%, 172/3356) — not the same destination. - Also citeable: Cut: current at destination and previously at Apple; wires sum 403 across 3 destinations; as of 2026-10-23 PT. - Markdown: https://metix.ai/reports/series/apple-to-autonomy-talent-flow-2026.md - [Customer Success Manager employed per open role | Metix AI](https://metix.ai/reports/series/csm-employed-vs-open-2026): As of 2026-10-23 PT, Salesforce is 33.8× (1250/37 employed/open). - Also citeable: As of 2026-10-23 PT, Datadog is 17.4× (243/14 employed/open). - Also citeable: As of 2026-10-23 PT, Amazon is 16.2× (1119/69 employed/open). - Also citeable: Deepest bench is Salesforce at 1250 employed Customer Success Managers; busiest open board is Amazon at 69 roles (1250/69). - Also citeable: Salesforce leads both the multiple and the bench (33.8×, 1250/37). - Also citeable: Cut: employed Customer Success Manager against captured open roles; as of 2026-10-23 PT; source Metix AI; ratio lead 1250/37. - Markdown: https://metix.ai/reports/series/csm-employed-vs-open-2026.md - [Data Architect Peer Pack: IBM 250 vs Adobe 63 | Metix AI](https://metix.ai/reports/series/data-architect-peer-pack-2026): As of 2026-10-23 PT, IBM current Data Architect is 250/429 (58.3% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-10-23 PT, Adobe current Data Architect is 63/429 (14.7% of the pack) on the Adobe exclusive homepage record (www.adobe.com). - Also citeable: As of 2026-10-23 PT, Oracle current Data Architect is 43/429 (10.0% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-23 PT, Cisco current Data Architect is 37/429 (8.6% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: As of 2026-10-23 PT, SAP current Data Architect is 36/429 (8.4% of the pack) on the SAP exclusive homepage record (www.sap.com). - Also citeable: Data architecture peer pack total 429 (250 + 63 + 43 + 37 + 36); top two IBM+Adobe hold 313/429 (73.0%). - Also citeable: Anchor-to-tail gap: IBM 250 vs SAP 36, about 6.94×; as of 2026-10-23 PT. - Markdown: https://metix.ai/reports/series/data-architect-peer-pack-2026.md - [Palo Alto Networks seat shelf | Metix AI](https://metix.ai/reports/series/palo-alto-networks-company-teardown-2026): As of 2026-10-23 PT, Palo Alto Networks has 18339 people current. - Also citeable: As of 2026-10-23 PT, Palo Alto Networks Software Engineer is 2080, with senior-titled 1469/2080. - Also citeable: As of 2026-10-23 PT, Palo Alto Networks Product Manager is 268, with senior-titled 165/268. - Also citeable: As of 2026-10-23 PT, Palo Alto Networks Engineering Manager is 252, with senior-titled 81/252. - Also citeable: As of 2026-10-23 PT, Palo Alto Networks Designer is 106, with senior-titled 0/106. - Also citeable: As of 2026-10-23 PT, Palo Alto Networks Machine Learning Engineer is 81, with senior-titled 53/81. - Also citeable: Named seats total 2787/18339 (15.2%); other titles 15552/18339 (84.8%). - Also citeable: Software Engineer is 11.3% of the bench (2080/18339); second is Product Manager at 268. - Markdown: https://metix.ai/reports/series/palo-alto-networks-company-teardown-2026.md - [Product Marketing Manager (enterprise SaaS) Peer Pack: Adobe 231 vs Salesforce 186 | Metix AI](https://metix.ai/reports/series/pmm-enterprise-saas-peer-pack-2026): As of 2026-10-23 PT, Adobe current Product Marketing Manager is 231/577 (40.0% of the pack) on the Adobe exclusive homepage record (www.adobe.com). - Also citeable: As of 2026-10-23 PT, Salesforce current Product Marketing Manager is 186/577 (32.2% of the pack) on the Salesforce exclusive homepage record (www.salesforce.com). - Also citeable: As of 2026-10-23 PT, SAP current Product Marketing Manager is 65/577 (11.3% of the pack) on the SAP exclusive homepage record (www.sap.com). - Also citeable: As of 2026-10-23 PT, ServiceNow current Product Marketing Manager is 49/577 (8.5% of the pack) on the ServiceNow exclusive homepage record (www.servicenow.com). - Also citeable: As of 2026-10-23 PT, Oracle current Product Marketing Manager is 46/577 (8.0% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: Product marketing manager peer pack total 577 (231 + 186 + 65 + 49 + 46); top two Adobe+Salesforce hold 417/577 (72.3%). - Also citeable: Anchor-to-tail gap: Adobe 231 vs Oracle 46, about 5.02×; as of 2026-10-23 PT. - Markdown: https://metix.ai/reports/series/pmm-enterprise-saas-peer-pack-2026.md - [Boeing to SpaceX talent flow | Metix AI](https://metix.ai/reports/series/boeing-to-defense-tech-talent-flow-2026): As of 2026-10-22 PT, 367 people are current at SpaceX and previously at Boeing; 367 = 2.5% of SpaceX's 14885. - Also citeable: As of 2026-10-22 PT, 278 people are current at Anduril and previously at Boeing; 278 = 4.4% of Anduril's 6380. - Also citeable: As of 2026-10-22 PT, 30 people are current at Shield AI and previously at Boeing; 30 = 2.3% of Shield AI's 1308. - Also citeable: The measured Boeing wires on this page sum to 675 people across 3 destinations. - Also citeable: Absolute lead is SpaceX (367); penetration lead is Anduril (4.4%, 278/6380) — not the same destination. - Also citeable: Cut: current at destination and previously at Boeing; wires sum 675 across 3 destinations; as of 2026-10-22 PT. - Markdown: https://metix.ai/reports/series/boeing-to-defense-tech-talent-flow-2026.md - [Product Manager (fintech) Peer Pack: PayPal 776 vs Stripe 199 | Metix AI](https://metix.ai/reports/series/product-mgr-fintech-peer-pack-2026): As of 2026-10-22 PT, PayPal current Product Manager is 776/1228 (63.2% of the pack) on the PayPal exclusive homepage record (www.paypal.com). - Also citeable: As of 2026-10-22 PT, Stripe current Product Manager is 199/1228 (16.2% of the pack) on the Stripe exclusive homepage record (www.stripe.com). - Also citeable: As of 2026-10-22 PT, Coinbase current Product Manager is 163/1228 (13.3% of the pack) on the Coinbase exclusive homepage record (www.coinbase.com). - Also citeable: As of 2026-10-22 PT, Robinhood current Product Manager is 61/1228 (5.0% of the pack) on the Robinhood exclusive homepage record (www.robinhood.com). - Also citeable: As of 2026-10-22 PT, Block current Product Manager is 29/1228 (2.4% of the pack) on the Block exclusive homepage record (www.block.xyz). - Also citeable: Product management peer pack total 1228 (776 + 199 + 163 + 61 + 29); top two PayPal+Stripe hold 975/1228 (79.4%). - Also citeable: Anchor-to-tail gap: PayPal 776 vs Block 29, about 26.76×; as of 2026-10-22 PT. - Markdown: https://metix.ai/reports/series/product-mgr-fintech-peer-pack-2026.md - [Robinhood seat shelf | Metix AI](https://metix.ai/reports/series/robinhood-company-teardown-2026): As of 2026-10-22 PT, Robinhood has 3551 people current. - Also citeable: As of 2026-10-22 PT, Robinhood Software Engineer is 599, with senior-titled 210/599. - Also citeable: As of 2026-10-22 PT, Robinhood Designer is 77, with senior-titled 3/77. - Also citeable: As of 2026-10-22 PT, Robinhood Engineering Manager is 67, with senior-titled 9/67. - Also citeable: As of 2026-10-22 PT, Robinhood Product Manager is 61, with senior-titled 12/61. - Also citeable: As of 2026-10-22 PT, Robinhood Data Scientist is 51, with senior-titled 27/51. - Also citeable: Named seats total 855/3551 (24.1%); other titles 2696/3551 (75.9%). - Also citeable: Software Engineer is 16.9% of the bench (599/3551); second is Designer at 77. - Markdown: https://metix.ai/reports/series/robinhood-company-teardown-2026.md - [Sales Development Representative employed per open role | Metix AI](https://metix.ai/reports/series/sdr-employed-vs-open-2026): As of 2026-10-22 PT, Salesforce is 246.1× (1969/8 employed/open). - Also citeable: As of 2026-10-22 PT, Okta is 43.3× (260/6 employed/open). - Also citeable: As of 2026-10-22 PT, Datadog is 32.3× (194/6 employed/open). - Also citeable: As of 2026-10-22 PT, Snowflake is 13.1× (144/11 employed/open). - Also citeable: Deepest bench is Salesforce at 1969 employed Sales Development Representatives; busiest open board is Snowflake at 11 roles (1969/11). - Also citeable: Salesforce leads both the multiple and the bench (246.1×, 1969/8). - Markdown: https://metix.ai/reports/series/sdr-employed-vs-open-2026.md - [Sourcer Peer Pack: Uber 96 vs IBM 89 | Metix AI](https://metix.ai/reports/series/sourcer-peer-pack-2026): As of 2026-10-22 PT, Uber current Sourcer is 96/338 (28.4% of the pack) on the Uber exclusive homepage record (www.uber.com). - Also citeable: As of 2026-10-22 PT, IBM current Sourcer is 89/338 (26.3% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-10-22 PT, NVIDIA current Sourcer is 57/338 (16.9% of the pack) on the NVIDIA exclusive homepage record (www.nvidia.com). - Also citeable: As of 2026-10-22 PT, LinkedIn current Sourcer is 56/338 (16.6% of the pack) on the LinkedIn exclusive homepage record (www.linkedin.com). - Also citeable: As of 2026-10-22 PT, ServiceNow current Sourcer is 40/338 (11.8% of the pack) on the ServiceNow exclusive homepage record (www.servicenow.com). - Also citeable: Sourcer peer pack total 338 (96 + 89 + 57 + 56 + 40); top two Uber+IBM hold 185/338 (54.7%). - Also citeable: Anchor-to-tail gap: Uber 96 vs ServiceNow 40, about 2.40×; as of 2026-10-22 PT. - Markdown: https://metix.ai/reports/series/sourcer-peer-pack-2026.md - [Business Analyst Peer Pack: IBM 3187 vs Oracle 1406 | Metix AI](https://metix.ai/reports/series/business-analyst-peer-pack-2026): As of 2026-10-21 PT, IBM current Business Analyst is 3187/5893 (54.1% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-10-21 PT, Oracle current Business Analyst is 1406/5893 (23.9% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-21 PT, Cisco current Business Analyst is 879/5893 (14.9% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: As of 2026-10-21 PT, Salesforce current Business Analyst is 222/5893 (3.8% of the pack) on the Salesforce exclusive homepage record (www.salesforce.com). - Also citeable: As of 2026-10-21 PT, SAP current Business Analyst is 199/5893 (3.4% of the pack) on the SAP exclusive homepage record (www.sap.com). - Also citeable: Business analyst peer pack total 5893 (3187 + 1406 + 879 + 222 + 199); top two IBM+Oracle hold 4593/5893 (77.9%). - Also citeable: Anchor-to-tail gap: IBM 3187 vs SAP 199, about 16.02×; as of 2026-10-21 PT. - Markdown: https://metix.ai/reports/series/business-analyst-peer-pack-2026.md - [Data Engineer (fintech) Peer Pack: PayPal 344 vs Block 47 | Metix AI](https://metix.ai/reports/series/data-eng-fintech-peer-pack-2026): As of 2026-10-21 PT, PayPal current Data Engineer is 344/490 (70.2% of the pack) on the PayPal exclusive homepage record (www.paypal.com). - Also citeable: As of 2026-10-21 PT, Block current Data Engineer is 47/490 (9.6% of the pack) on the Block exclusive homepage record (www.block.xyz). - Also citeable: As of 2026-10-21 PT, SoFi current Data Engineer is 43/490 (8.8% of the pack) on the SoFi exclusive homepage record (www.sofi.com). - Also citeable: As of 2026-10-21 PT, Stripe current Data Engineer is 36/490 (7.3% of the pack) on the Stripe exclusive homepage record (www.stripe.com). - Also citeable: As of 2026-10-21 PT, Coinbase current Data Engineer is 20/490 (4.1% of the pack) on the Coinbase exclusive homepage record (www.coinbase.com). - Also citeable: Data engineering peer pack total 490 (344 + 47 + 43 + 36 + 20); top two PayPal+Block hold 391/490 (79.8%). - Also citeable: Anchor-to-tail gap: PayPal 344 vs Coinbase 20, about 17.20×; as of 2026-10-21 PT. - Markdown: https://metix.ai/reports/series/data-eng-fintech-peer-pack-2026.md - [Network Engineer employed per open role | Metix AI](https://metix.ai/reports/series/network-eng-employed-vs-open-2026): As of 2026-10-21 PT, Microsoft is 270.0× (810/3 employed/open). - Also citeable: As of 2026-10-21 PT, Oracle is 38.0× (342/9 employed/open). - Also citeable: As of 2026-10-21 PT, NVIDIA is 9.4× (75/8 employed/open). - Also citeable: As of 2026-10-21 PT, Meta is 4.3× (397/92 employed/open). - Also citeable: Deepest bench is Microsoft at 810 employed Network Engineers; busiest open board is Meta at 92 roles (810/92). - Also citeable: Microsoft leads both the multiple and the bench (270.0×, 810/3). - Markdown: https://metix.ai/reports/series/network-eng-employed-vs-open-2026.md - [Okta seat shelf | Metix AI](https://metix.ai/reports/series/okta-company-teardown-2026): As of 2026-10-21 PT, Okta has 6867 people current. - Also citeable: As of 2026-10-21 PT, Okta Software Engineer is 807, with senior-titled 596/807. - Also citeable: As of 2026-10-21 PT, Okta Account Executive is 560, with senior-titled 40/560. - Also citeable: As of 2026-10-21 PT, Okta Product Manager is 108, with senior-titled 36/108. - Also citeable: As of 2026-10-21 PT, Okta Designer is 75, with senior-titled 4/75. - Also citeable: As of 2026-10-21 PT, Okta Engineering Manager is 71, with senior-titled 18/71. - Also citeable: Named seats total 1621/6867 (23.6%); other titles 5246/6867 (76.4%). - Also citeable: Software Engineer is 11.8% of the bench (807/6867); second is Account Executive at 560. - Markdown: https://metix.ai/reports/series/okta-company-teardown-2026.md - [Salesforce to Datadog talent flow | Metix AI](https://metix.ai/reports/series/salesforce-to-devtools-talent-flow-2026): As of 2026-10-21 PT, 198 people are current at Datadog and previously at Salesforce; 198 = 2.3% of Datadog's 8488. - Also citeable: As of 2026-10-21 PT, 155 people are current at MongoDB and previously at Salesforce; 155 = 2.5% of MongoDB's 6313. - Also citeable: As of 2026-10-21 PT, 106 people are current at Cloudflare and previously at Salesforce; 106 = 2.0% of Cloudflare's 5355. - Also citeable: The measured Salesforce wires on this page sum to 459 people across 3 destinations. - Also citeable: Absolute lead is Datadog (198); penetration lead is MongoDB (2.5%, 155/6313) — not the same destination. - Also citeable: Cut: current at destination and previously at Salesforce; wires sum 459 across 3 destinations; as of 2026-10-21 PT. - Markdown: https://metix.ai/reports/series/salesforce-to-devtools-talent-flow-2026.md - [Customer Success Manager (enterprise SaaS) Peer Pack: Salesforce 1250 vs SAP 1008 | Metix AI](https://metix.ai/reports/series/csm-enterprise-saas-peer-pack-2026): As of 2026-10-20 PT, Salesforce current Customer Success Manager is 1250/4124 (30.3% of the pack) on the Salesforce exclusive homepage record (www.salesforce.com). - Also citeable: As of 2026-10-20 PT, SAP current Customer Success Manager is 1008/4124 (24.4% of the pack) on the SAP exclusive homepage record (www.sap.com). - Also citeable: As of 2026-10-20 PT, Oracle current Customer Success Manager is 762/4124 (18.5% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-20 PT, Adobe current Customer Success Manager is 629/4124 (15.3% of the pack) on the Adobe exclusive homepage record (www.adobe.com). - Also citeable: As of 2026-10-20 PT, HubSpot current Customer Success Manager is 475/4124 (11.5% of the pack) on the HubSpot exclusive homepage record (www.hubspot.com). - Also citeable: Customer success manager peer pack total 4124 (1250 + 1008 + 762 + 629 + 475); top two Salesforce+SAP hold 2258/4124 (54.8%). - Also citeable: Anchor-to-tail gap: Salesforce 1250 vs HubSpot 475, about 2.63×; as of 2026-10-20 PT. - Markdown: https://metix.ai/reports/series/csm-enterprise-saas-peer-pack-2026.md - [Datadog seat shelf | Metix AI](https://metix.ai/reports/series/datadog-company-teardown-2026): As of 2026-10-20 PT, Datadog has 8488 people current. - Also citeable: As of 2026-10-20 PT, Datadog Software Engineer is 2187, with senior-titled 827/2187. - Also citeable: As of 2026-10-20 PT, Datadog Engineering Manager is 331, with senior-titled 57/331. - Also citeable: As of 2026-10-20 PT, Datadog Product Manager is 164, with senior-titled 57/164. - Also citeable: As of 2026-10-20 PT, Datadog Designer is 127, with senior-titled 3/127. - Also citeable: As of 2026-10-20 PT, Datadog Data Scientist is 33, with senior-titled 12/33. - Also citeable: Named seats total 2842/8488 (33.5%); other titles 5646/8488 (66.5%). - Also citeable: Software Engineer is 25.8% of the bench (2187/8488); second is Engineering Manager at 331. - Markdown: https://metix.ai/reports/series/datadog-company-teardown-2026.md - [Microsoft to NVIDIA talent flow | Metix AI](https://metix.ai/reports/series/microsoft-to-ai-infra-talent-flow-2026): As of 2026-10-20 PT, 1304 people are current at NVIDIA and previously at Microsoft; 1304 = 3.3% of NVIDIA's 39150. - Also citeable: As of 2026-10-20 PT, 115 people are current at CoreWeave and previously at Microsoft; 115 = 6.4% of CoreWeave's 1796. - Also citeable: As of 2026-10-20 PT, 35 people are current at Cerebras and previously at Microsoft; 35 = 4.8% of Cerebras's 733. - Also citeable: The measured Microsoft wires on this page sum to 1454 people across 3 destinations. - Also citeable: Absolute lead is NVIDIA (1304); penetration lead is CoreWeave (6.4%, 115/1796) — not the same destination. - Also citeable: Cut: current at destination and previously at Microsoft; wires sum 1454 across 3 destinations; as of 2026-10-20 PT. - Markdown: https://metix.ai/reports/series/microsoft-to-ai-infra-talent-flow-2026.md - [Performance Engineer Peer Pack: NVIDIA 118 vs IBM 107 | Metix AI](https://metix.ai/reports/series/perf-eng-peer-pack-2026): As of 2026-10-20 PT, NVIDIA current Performance Engineer is 118/482 (24.5% of the pack) on the NVIDIA exclusive homepage record (www.nvidia.com). - Also citeable: As of 2026-10-20 PT, IBM current Performance Engineer is 107/482 (22.2% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-10-20 PT, ServiceNow current Performance Engineer is 104/482 (21.6% of the pack) on the ServiceNow exclusive homepage record (www.servicenow.com). - Also citeable: As of 2026-10-20 PT, Oracle current Performance Engineer is 77/482 (16.0% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-20 PT, Salesforce current Performance Engineer is 76/482 (15.8% of the pack) on the Salesforce exclusive homepage record (www.salesforce.com). - Also citeable: Performance engineering peer pack total 482 (118 + 107 + 104 + 77 + 76); top two NVIDIA+IBM hold 225/482 (46.7%). - Also citeable: Anchor-to-tail gap: NVIDIA 118 vs Salesforce 76, about 1.55×; as of 2026-10-20 PT. - Markdown: https://metix.ai/reports/series/perf-eng-peer-pack-2026.md - [Product Marketing Manager employed per open role | Metix AI](https://metix.ai/reports/series/pmm-employed-vs-open-2026): As of 2026-10-20 PT, Microsoft is 169.8× (849/5 employed/open). - Also citeable: As of 2026-10-20 PT, Meta is 34.9× (524/15 employed/open). - Also citeable: As of 2026-10-20 PT, Amazon is 30.8× (923/30 employed/open). - Also citeable: As of 2026-10-20 PT, Salesforce is 8.9× (186/21 employed/open). - Also citeable: As of 2026-10-20 PT, Snowflake is 2.8× (25/9 employed/open). - Also citeable: Deepest bench is Amazon at 923 employed Product Marketing Managers; busiest open board is Amazon at 30 roles (923/30). - Also citeable: Ratio lead Microsoft (169.8×, 849/5) is not the same host as bench lead Amazon (923) — volume and door density are different decisions. - Markdown: https://metix.ai/reports/series/pmm-employed-vs-open-2026.md - [Account Executive employed per open role | Metix AI](https://metix.ai/reports/series/account-exec-employed-vs-open-2026): As of 2026-10-19 PT, Amazon is 61.5× (5845/95 employed/open). - Also citeable: As of 2026-10-19 PT, Databricks is 29.9× (1403/47 employed/open). - Also citeable: As of 2026-10-19 PT, Snowflake is 24.2× (1042/43 employed/open). - Also citeable: As of 2026-10-19 PT, Datadog is 17.2× (1137/66 employed/open). - Also citeable: As of 2026-10-19 PT, Salesforce is 14.1× (11022/779 employed/open). - Also citeable: Deepest bench is Salesforce at 11022 employed Account Executives; busiest open board is Salesforce at 779 roles (11022/779). - Also citeable: Ratio lead Amazon (61.5×, 5845/95) is not the same host as bench lead Salesforce (11022) — volume and door density are different decisions. - Markdown: https://metix.ai/reports/series/account-exec-employed-vs-open-2026.md - [AI Engineer Peer Pack: IBM 778 vs NVIDIA 96 | Metix AI](https://metix.ai/reports/series/ai-eng-peer-pack-2026): As of 2026-10-19 PT, IBM current AI Engineer is 778/1050 (74.1% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-10-19 PT, NVIDIA current AI Engineer is 96/1050 (9.1% of the pack) on the NVIDIA exclusive homepage record (www.nvidia.com). - Also citeable: As of 2026-10-19 PT, Oracle current AI Engineer is 68/1050 (6.5% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-19 PT, SAP current AI Engineer is 67/1050 (6.4% of the pack) on the SAP exclusive homepage record (www.sap.com). - Also citeable: As of 2026-10-19 PT, Cisco current AI Engineer is 41/1050 (3.9% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: Ai engineering peer pack total 1050 (778 + 96 + 68 + 67 + 41); top two IBM+NVIDIA hold 874/1050 (83.2%). - Also citeable: Anchor-to-tail gap: IBM 778 vs Cisco 41, about 18.98×; as of 2026-10-19 PT. - Markdown: https://metix.ai/reports/series/ai-eng-peer-pack-2026.md - [Cloudflare seat shelf | Metix AI](https://metix.ai/reports/series/cloudflare-company-teardown-2026): As of 2026-10-19 PT, Cloudflare has 5355 people current. - Also citeable: As of 2026-10-19 PT, Cloudflare Account Executive is 565, with senior-titled 89/565. - Also citeable: As of 2026-10-19 PT, Cloudflare Software Engineer is 245, with senior-titled 62/245. - Also citeable: As of 2026-10-19 PT, Cloudflare Engineering Manager is 130, with senior-titled 33/130. - Also citeable: As of 2026-10-19 PT, Cloudflare Product Manager is 101, with senior-titled 40/101. - Also citeable: As of 2026-10-19 PT, Cloudflare Designer is 40, with senior-titled 0/40. - Also citeable: Named seats total 1081/5355 (20.2%); other titles 4274/5355 (79.8%). - Also citeable: Account Executive is 10.6% of the bench (565/5355); second is Software Engineer at 245. - Markdown: https://metix.ai/reports/series/cloudflare-company-teardown-2026.md - [Security Engineer (fintech) Peer Pack: PayPal 138 vs Coinbase 53 | Metix AI](https://metix.ai/reports/series/sec-eng-fintech-peer-pack-2026): As of 2026-10-19 PT, PayPal current Security Engineer is 138/286 (48.3% of the pack) on the PayPal exclusive homepage record (www.paypal.com). - Also citeable: As of 2026-10-19 PT, Coinbase current Security Engineer is 53/286 (18.5% of the pack) on the Coinbase exclusive homepage record (www.coinbase.com). - Also citeable: As of 2026-10-19 PT, Block current Security Engineer is 49/286 (17.1% of the pack) on the Block exclusive homepage record (www.block.xyz). - Also citeable: As of 2026-10-19 PT, Stripe current Security Engineer is 27/286 (9.4% of the pack) on the Stripe exclusive homepage record (www.stripe.com). - Also citeable: As of 2026-10-19 PT, Robinhood current Security Engineer is 19/286 (6.6% of the pack) on the Robinhood exclusive homepage record (www.robinhood.com). - Also citeable: Security engineering peer pack total 286 (138 + 53 + 49 + 27 + 19); top two PayPal+Coinbase hold 191/286 (66.8%). - Also citeable: Anchor-to-tail gap: PayPal 138 vs Robinhood 19, about 7.26×; as of 2026-10-19 PT. - Markdown: https://metix.ai/reports/series/sec-eng-fintech-peer-pack-2026.md - [Uber to Aurora talent flow | Metix AI](https://metix.ai/reports/series/uber-to-autonomy-talent-flow-2026): As of 2026-10-19 PT, 357 people are current at Aurora and previously at Uber; 357 = 18.5% of Aurora's 1929. - Also citeable: As of 2026-10-19 PT, 115 people are current at Waymo and previously at Uber; 115 = 3.4% of Waymo's 3356. - Also citeable: As of 2026-10-19 PT, 71 people are current at Zoox and previously at Uber; 71 = 1.8% of Zoox's 3888. - Also citeable: The measured Uber wires on this page sum to 543 people across 3 destinations. - Also citeable: Aurora leads both absolute headcount and penetration (357 people, 18.5%). - Also citeable: Cut: current at destination and previously at Uber; wires sum 543 across 3 destinations; as of 2026-10-19 PT. - Markdown: https://metix.ai/reports/series/uber-to-autonomy-talent-flow-2026.md - [JPMorgan Chase to Coinbase talent flow | Metix AI](https://metix.ai/reports/series/jpmorgan-chase-to-fintech-talent-flow-2026): As of 2026-10-16 PT, 120 people are current at Coinbase and previously at JPMorgan Chase; 120 = 1.9% of Coinbase's 6396. - Also citeable: As of 2026-10-16 PT, 50 people are current at Robinhood and previously at JPMorgan Chase; 50 = 1.4% of Robinhood's 3551. - Also citeable: As of 2026-10-16 PT, 21 people are current at Ramp and previously at JPMorgan Chase; 21 = 1.1% of Ramp's 1922. - Also citeable: The measured JPMorgan Chase wires on this page sum to 191 people across 3 destinations. - Also citeable: Coinbase leads both absolute headcount and penetration (120 people, 1.9%). - Also citeable: Cut: current at destination and previously at JPMorgan Chase; wires sum 191 across 3 destinations; as of 2026-10-16 PT. - Markdown: https://metix.ai/reports/series/jpmorgan-chase-to-fintech-talent-flow-2026.md - [Recruiter employed per open role | Metix AI](https://metix.ai/reports/series/recruiter-employed-vs-open-2026): As of 2026-10-16 PT, Microsoft is 153.9× (1077/7 employed/open). - Also citeable: As of 2026-10-16 PT, Uber is 66.5× (266/4 employed/open). - Also citeable: As of 2026-10-16 PT, Amazon is 43.1× (4096/95 employed/open). - Also citeable: As of 2026-10-16 PT, Salesforce is 11.8× (355/30 employed/open). - Also citeable: Deepest bench is Amazon at 4096 employed Recruiters; busiest open board is Amazon at 95 roles (4096/95). - Also citeable: Ratio lead Microsoft (153.9×, 1077/7) is not the same host as bench lead Amazon (4096) — volume and door density are different decisions. - Markdown: https://metix.ai/reports/series/recruiter-employed-vs-open-2026.md - [Software Development Engineer in Test Peer Pack: IBM 500 vs Oracle 368 | Metix AI](https://metix.ai/reports/series/sdet-peer-pack-2026): As of 2026-10-16 PT, IBM current Software Development Engineer in Test is 500/1108 (45.1% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-10-16 PT, Oracle current Software Development Engineer in Test is 368/1108 (33.2% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-16 PT, Cisco current Software Development Engineer in Test is 121/1108 (10.9% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: As of 2026-10-16 PT, SAP current Software Development Engineer in Test is 66/1108 (6.0% of the pack) on the SAP exclusive homepage record (www.sap.com). - Also citeable: As of 2026-10-16 PT, Adobe current Software Development Engineer in Test is 53/1108 (4.8% of the pack) on the Adobe exclusive homepage record (www.adobe.com). - Also citeable: Sdet peer pack total 1108 (500 + 368 + 121 + 66 + 53); top two IBM+Oracle hold 868/1108 (78.3%). - Also citeable: Anchor-to-tail gap: IBM 500 vs Adobe 53, about 9.43×; as of 2026-10-16 PT. - Markdown: https://metix.ai/reports/series/sdet-peer-pack-2026.md - [Technical Account Manager (data infrastructure) Peer Pack: Datadog 72 vs Cloudflare 32 | Metix AI](https://metix.ai/reports/series/tam-data-infra-peer-pack-2026): As of 2026-10-16 PT, Datadog current Technical Account Manager is 72/183 (39.3% of the pack) on the Datadog exclusive homepage record (www.datadoghq.com). - Also citeable: As of 2026-10-16 PT, Cloudflare current Technical Account Manager is 32/183 (17.5% of the pack) on the Cloudflare exclusive homepage record (www.cloudflare.com). - Also citeable: As of 2026-10-16 PT, Snowflake current Technical Account Manager is 31/183 (16.9% of the pack) on the Snowflake exclusive homepage record (www.snowflake.com). - Also citeable: As of 2026-10-16 PT, MongoDB current Technical Account Manager is 30/183 (16.4% of the pack) on the MongoDB exclusive homepage record (www.mongodb.com). - Also citeable: As of 2026-10-16 PT, Splunk current Technical Account Manager is 18/183 (9.8% of the pack) on the Splunk exclusive homepage record (www.splunk.com). - Also citeable: Technical account manager peer pack total 183 (72 + 32 + 31 + 30 + 18); top two Datadog+Cloudflare hold 104/183 (56.8%). - Also citeable: Anchor-to-tail gap: Datadog 72 vs Splunk 18, about 4.00×; as of 2026-10-16 PT. - Markdown: https://metix.ai/reports/series/tam-data-infra-peer-pack-2026.md - [Workday seat shelf | Metix AI](https://metix.ai/reports/series/workday-company-teardown-2026): As of 2026-10-16 PT, Workday has 20583 people current. - Also citeable: As of 2026-10-16 PT, Workday Software Engineer is 3116, with senior-titled 1268/3116. - Also citeable: As of 2026-10-16 PT, Workday Product Manager is 664, with senior-titled 306/664. - Also citeable: As of 2026-10-16 PT, Workday Designer is 252, with senior-titled 5/252. - Also citeable: As of 2026-10-16 PT, Workday Engineering Manager is 231, with senior-titled 62/231. - Also citeable: As of 2026-10-16 PT, Workday Machine Learning Engineer is 128, with senior-titled 67/128. - Also citeable: Named seats total 4391/20583 (21.3%); other titles 16192/20583 (78.7%). - Also citeable: Software Engineer is 15.1% of the bench (3116/20583); second is Product Manager at 664. - Markdown: https://metix.ai/reports/series/workday-company-teardown-2026.md - [Director of Engineering Peer Pack: Salesforce 173 vs Oracle 163 | Metix AI](https://metix.ai/reports/series/director-eng-peer-pack-2026): As of 2026-10-15 PT, Salesforce current Director of Engineering is 173/681 (25.4% of the pack) on the Salesforce exclusive homepage record (www.salesforce.com). - Also citeable: As of 2026-10-15 PT, Oracle current Director of Engineering is 163/681 (23.9% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-15 PT, Cisco current Director of Engineering is 158/681 (23.2% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: As of 2026-10-15 PT, Adobe current Director of Engineering is 118/681 (17.3% of the pack) on the Adobe exclusive homepage record (www.adobe.com). - Also citeable: As of 2026-10-15 PT, SAP current Director of Engineering is 69/681 (10.1% of the pack) on the SAP exclusive homepage record (www.sap.com). - Also citeable: Director of engineering peer pack total 681 (173 + 163 + 158 + 118 + 69); top two Salesforce+Oracle hold 336/681 (49.3%). - Also citeable: Anchor-to-tail gap: Salesforce 173 vs SAP 69, about 2.51×; as of 2026-10-15 PT. - Markdown: https://metix.ai/reports/series/director-eng-peer-pack-2026.md - [HubSpot seat shelf | Metix AI](https://metix.ai/reports/series/hubspot-company-teardown-2026): As of 2026-10-15 PT, HubSpot has 10599 people current. - Also citeable: As of 2026-10-15 PT, HubSpot Account Executive is 1548, with senior-titled 185/1548. - Also citeable: As of 2026-10-15 PT, HubSpot Software Engineer is 1387, with senior-titled 1029/1387. - Also citeable: As of 2026-10-15 PT, HubSpot Product Manager is 222, with senior-titled 119/222. - Also citeable: As of 2026-10-15 PT, HubSpot Designer is 222, with senior-titled 4/222. - Also citeable: As of 2026-10-15 PT, HubSpot Solutions Architect is 48, with senior-titled 17/48. - Also citeable: Named seats total 3427/10599 (32.3%); other titles 7172/10599 (67.7%). - Also citeable: Account Executive is 14.6% of the bench (1548/10599); second is Software Engineer at 1387. - Markdown: https://metix.ai/reports/series/hubspot-company-teardown-2026.md - [IBM to Palo Alto Networks talent flow | Metix AI](https://metix.ai/reports/series/ibm-to-security-vendors-talent-flow-2026): As of 2026-10-15 PT, 658 people are current at Palo Alto Networks and previously at IBM; 658 = 3.6% of Palo Alto Networks's 18339. - Also citeable: As of 2026-10-15 PT, 283 people are current at CrowdStrike and previously at IBM; 283 = 3.0% of CrowdStrike's 9362. - Also citeable: As of 2026-10-15 PT, 234 people are current at Zscaler and previously at IBM; 234 = 2.7% of Zscaler's 8621. - Also citeable: The measured IBM wires on this page sum to 1175 people across 3 destinations. - Also citeable: Palo Alto Networks leads both absolute headcount and penetration (658 people, 3.6%). - Also citeable: Cut: current at destination and previously at IBM; wires sum 1175 across 3 destinations; as of 2026-10-15 PT. - Markdown: https://metix.ai/reports/series/ibm-to-security-vendors-talent-flow-2026.md - [Machine Learning Engineer (fintech) Peer Pack: PayPal 236 vs Block 101 | Metix AI](https://metix.ai/reports/series/ml-eng-fintech-peer-pack-2026): As of 2026-10-15 PT, PayPal current Machine Learning Engineer is 236/515 (45.8% of the pack) on the PayPal exclusive homepage record (www.paypal.com). - Also citeable: As of 2026-10-15 PT, Block current Machine Learning Engineer is 101/515 (19.6% of the pack) on the Block exclusive homepage record (www.block.xyz). - Also citeable: As of 2026-10-15 PT, Stripe current Machine Learning Engineer is 97/515 (18.8% of the pack) on the Stripe exclusive homepage record (www.stripe.com). - Also citeable: As of 2026-10-15 PT, Affirm current Machine Learning Engineer is 43/515 (8.3% of the pack) on the Affirm exclusive homepage record (www.affirm.com). - Also citeable: As of 2026-10-15 PT, Coinbase current Machine Learning Engineer is 38/515 (7.4% of the pack) on the Coinbase exclusive homepage record (www.coinbase.com). - Also citeable: Machine learning engineering peer pack total 515 (236 + 101 + 97 + 43 + 38); top two PayPal+Block hold 337/515 (65.4%). - Also citeable: Anchor-to-tail gap: PayPal 236 vs Coinbase 38, about 6.21×; as of 2026-10-15 PT. - Markdown: https://metix.ai/reports/series/ml-eng-fintech-peer-pack-2026.md - [Systems Engineer employed per open role | Metix AI](https://metix.ai/reports/series/systems-eng-employed-vs-open-2026): As of 2026-10-15 PT, Cisco is 85.3× (938/11 employed/open). - Also citeable: As of 2026-10-15 PT, Microsoft is 24.9× (199/8 employed/open). - Also citeable: As of 2026-10-15 PT, Meta is 18.3× (220/12 employed/open). - Also citeable: As of 2026-10-15 PT, NVIDIA is 4.9× (117/24 employed/open). - Also citeable: As of 2026-10-15 PT, Amazon is 3.7× (530/144 employed/open). - Also citeable: Deepest bench is Cisco at 938 employed Systems Engineers; busiest open board is Amazon at 144 roles (938/144). - Also citeable: Cisco leads both the multiple and the bench (85.3×, 938/11). - Markdown: https://metix.ai/reports/series/systems-eng-employed-vs-open-2026.md - [Account Executive (security vendors) Peer Pack: Zscaler 449 vs CrowdStrike 422 | Metix AI](https://metix.ai/reports/series/account-exec-security-vendors-peer-pack-2026): As of 2026-10-14 PT, Zscaler current Account Executive is 449/1699 (26.4% of the pack) on the Zscaler exclusive homepage record (www.zscaler.com). - Also citeable: As of 2026-10-14 PT, CrowdStrike current Account Executive is 422/1699 (24.8% of the pack) on the CrowdStrike exclusive homepage record (www.crowdstrike.com). - Also citeable: As of 2026-10-14 PT, Palo Alto Networks current Account Executive is 332/1699 (19.5% of the pack) on the Palo Alto Networks exclusive homepage record (www.paloaltonetworks.com). - Also citeable: As of 2026-10-14 PT, Wiz current Account Executive is 281/1699 (16.5% of the pack) on the Wiz exclusive homepage record (www.wiz.io). - Also citeable: As of 2026-10-14 PT, Rapid7 current Account Executive is 215/1699 (12.7% of the pack) on the Rapid7 exclusive homepage record (www.rapid7.com). - Also citeable: Account executive peer pack total 1699 (449 + 422 + 332 + 281 + 215); top two Zscaler+CrowdStrike hold 871/1699 (51.3%). - Also citeable: Anchor-to-tail gap: Zscaler 449 vs Rapid7 215, about 2.09×; as of 2026-10-14 PT. - Markdown: https://metix.ai/reports/series/account-exec-security-vendors-peer-pack-2026.md - [Solutions Consultant Peer Pack: Adobe 445 vs ServiceNow 234 | Metix AI](https://metix.ai/reports/series/solutions-consultant-peer-pack-2026): As of 2026-10-14 PT, Adobe current Solutions Consultant is 445/1143 (38.9% of the pack) on the Adobe exclusive homepage record (www.adobe.com). - Also citeable: As of 2026-10-14 PT, ServiceNow current Solutions Consultant is 234/1143 (20.5% of the pack) on the ServiceNow exclusive homepage record (www.servicenow.com). - Also citeable: As of 2026-10-14 PT, Oracle current Solutions Consultant is 191/1143 (16.7% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-14 PT, IBM current Solutions Consultant is 140/1143 (12.2% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-10-14 PT, Salesforce current Solutions Consultant is 133/1143 (11.6% of the pack) on the Salesforce exclusive homepage record (www.salesforce.com). - Also citeable: Solutions consulting peer pack total 1143 (445 + 234 + 191 + 140 + 133); top two Adobe+ServiceNow hold 679/1143 (59.4%). - Also citeable: Anchor-to-tail gap: Adobe 445 vs Salesforce 133, about 3.35×; as of 2026-10-14 PT. - Markdown: https://metix.ai/reports/series/solutions-consultant-peer-pack-2026.md - [Support Engineer employed per open role | Metix AI](https://metix.ai/reports/series/support-eng-employed-vs-open-2026): As of 2026-10-14 PT, Microsoft is 278.7× (5295/19 employed/open). - Also citeable: As of 2026-10-14 PT, Oracle is 116.7× (3501/30 employed/open). - Also citeable: As of 2026-10-14 PT, Salesforce is 79.7× (1992/25 employed/open). - Also citeable: As of 2026-10-14 PT, Amazon is 51.5× (6541/127 employed/open). - Also citeable: As of 2026-10-14 PT, Datadog is 44.0× (176/4 employed/open). - Also citeable: Deepest bench is Amazon at 6541 employed Support Engineers; busiest open board is Amazon at 127 roles (6541/127). - Also citeable: Ratio lead Microsoft (278.7×, 5295/19) is not the same host as bench lead Amazon (6541) — volume and door density are different decisions. - Markdown: https://metix.ai/reports/series/support-eng-employed-vs-open-2026.md - [Tesla to SpaceX talent flow | Metix AI](https://metix.ai/reports/series/tesla-to-defense-tech-talent-flow-2026): As of 2026-10-14 PT, 508 people are current at SpaceX and previously at Tesla; 508 = 3.4% of SpaceX's 14885. - Also citeable: As of 2026-10-14 PT, 154 people are current at Anduril and previously at Tesla; 154 = 2.4% of Anduril's 6380. - Also citeable: As of 2026-10-14 PT, 35 people are current at Palantir and previously at Tesla; 35 = 0.8% of Palantir's 4665. - Also citeable: The measured Tesla wires on this page sum to 697 people across 3 destinations. - Also citeable: SpaceX leads both absolute headcount and penetration (508 people, 3.4%). - Also citeable: Cut: current at destination and previously at Tesla; wires sum 697 across 3 destinations; as of 2026-10-14 PT. - Markdown: https://metix.ai/reports/series/tesla-to-defense-tech-talent-flow-2026.md - [Waymo seat shelf | Metix AI](https://metix.ai/reports/series/waymo-company-teardown-2026): As of 2026-10-14 PT, Waymo has 3356 people current. - Also citeable: As of 2026-10-14 PT, Waymo Software Engineer is 1107, with senior-titled 483/1107. - Also citeable: As of 2026-10-14 PT, Waymo Machine Learning Engineer is 102, with senior-titled 52/102. - Also citeable: As of 2026-10-14 PT, Waymo Data Scientist is 85, with senior-titled 41/85. - Also citeable: As of 2026-10-14 PT, Waymo Product Manager is 81, with senior-titled 14/81. - Also citeable: As of 2026-10-14 PT, Waymo Designer is 39, with senior-titled 1/39. - Also citeable: Named seats total 1414/3356 (42.1%); other titles 1942/3356 (57.9%). - Also citeable: Software Engineer is 33.0% of the bench (1107/3356); second is Machine Learning Engineer at 102. - Markdown: https://metix.ai/reports/series/waymo-company-teardown-2026.md - [Amazon to NVIDIA talent flow | Metix AI](https://metix.ai/reports/series/amazon-to-ai-infra-talent-flow-2026): As of 2026-10-13 PT, 1087 people are current at NVIDIA and previously at Amazon; 1087 = 2.8% of NVIDIA's 39150. - Also citeable: As of 2026-10-13 PT, 194 people are current at CoreWeave and previously at Amazon; 194 = 10.8% of CoreWeave's 1796. - Also citeable: As of 2026-10-13 PT, 41 people are current at Cerebras and previously at Amazon; 41 = 5.6% of Cerebras's 733. - Also citeable: The measured Amazon wires on this page sum to 1322 people across 3 destinations. - Also citeable: Absolute lead is NVIDIA (1087); penetration lead is CoreWeave (10.8%, 194/1796) — not the same destination. - Also citeable: Cut: current at destination and previously at Amazon; wires sum 1322 across 3 destinations; as of 2026-10-13 PT. - Markdown: https://metix.ai/reports/series/amazon-to-ai-infra-talent-flow-2026.md - [Coinbase seat shelf | Metix AI](https://metix.ai/reports/series/coinbase-company-teardown-2026): As of 2026-10-13 PT, Coinbase has 6396 people current. - Also citeable: As of 2026-10-13 PT, Coinbase Software Engineer is 1370, with senior-titled 607/1370. - Also citeable: As of 2026-10-13 PT, Coinbase Product Manager is 163, with senior-titled 24/163. - Also citeable: As of 2026-10-13 PT, Coinbase Engineering Manager is 133, with senior-titled 44/133. - Also citeable: As of 2026-10-13 PT, Coinbase Designer is 104, with senior-titled 4/104. - Also citeable: As of 2026-10-13 PT, Coinbase Data Scientist is 64, with senior-titled 43/64. - Also citeable: Named seats total 1834/6396 (28.7%); other titles 4562/6396 (71.3%). - Also citeable: Software Engineer is 21.4% of the bench (1370/6396); second is Product Manager at 163. - Markdown: https://metix.ai/reports/series/coinbase-company-teardown-2026.md - [Hardware Engineer employed per open role | Metix AI](https://metix.ai/reports/series/hardware-eng-employed-vs-open-2026): As of 2026-10-13 PT, Microsoft is 70.4× (493/7 employed/open). - Also citeable: As of 2026-10-13 PT, NVIDIA is 49.3× (296/6 employed/open). - Also citeable: As of 2026-10-13 PT, Meta is 23.9× (167/7 employed/open). - Also citeable: As of 2026-10-13 PT, Cisco is 14.9× (446/30 employed/open). - Also citeable: As of 2026-10-13 PT, Amazon is 4.4× (160/36 employed/open). - Also citeable: Deepest bench is Microsoft at 493 employed Hardware Engineers; busiest open board is Amazon at 36 roles (493/36). - Also citeable: Microsoft leads both the multiple and the bench (70.4×, 493/7). - Markdown: https://metix.ai/reports/series/hardware-eng-employed-vs-open-2026.md - [Product Manager (developer tools) Peer Pack: Atlassian 412 vs Datadog 164 | Metix AI](https://metix.ai/reports/series/product-mgr-devtools-peer-pack-2026): As of 2026-10-13 PT, Atlassian current Product Manager is 412/863 (47.7% of the pack) on the Atlassian exclusive homepage record (www.atlassian.com). - Also citeable: As of 2026-10-13 PT, Datadog current Product Manager is 164/863 (19.0% of the pack) on the Datadog exclusive homepage record (www.datadoghq.com). - Also citeable: As of 2026-10-13 PT, Twilio current Product Manager is 157/863 (18.2% of the pack) on the Twilio exclusive homepage record (www.twilio.com). - Also citeable: As of 2026-10-13 PT, MongoDB current Product Manager is 74/863 (8.6% of the pack) on the MongoDB exclusive homepage record (www.mongodb.com). - Also citeable: As of 2026-10-13 PT, Elastic current Product Manager is 56/863 (6.5% of the pack) on the Elastic exclusive homepage record (www.elastic.co). - Also citeable: Product management peer pack total 863 (412 + 164 + 157 + 74 + 56); top two Atlassian+Datadog hold 576/863 (66.7%). - Also citeable: Anchor-to-tail gap: Atlassian 412 vs Elastic 56, about 7.36×; as of 2026-10-13 PT. - Markdown: https://metix.ai/reports/series/product-mgr-devtools-peer-pack-2026.md - [Security Architect Peer Pack: IBM 339 vs Cisco 128 | Metix AI](https://metix.ai/reports/series/security-architect-peer-pack-2026): As of 2026-10-13 PT, IBM current Security Architect is 339/679 (49.9% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-10-13 PT, Cisco current Security Architect is 128/679 (18.9% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: As of 2026-10-13 PT, Oracle current Security Architect is 79/679 (11.6% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-13 PT, NVIDIA current Security Architect is 78/679 (11.5% of the pack) on the NVIDIA exclusive homepage record (www.nvidia.com). - Also citeable: As of 2026-10-13 PT, SAP current Security Architect is 55/679 (8.1% of the pack) on the SAP exclusive homepage record (www.sap.com). - Also citeable: Security architecture peer pack total 679 (339 + 128 + 79 + 78 + 55); top two IBM+Cisco hold 467/679 (68.8%). - Also citeable: Anchor-to-tail gap: IBM 339 vs SAP 55, about 6.16×; as of 2026-10-13 PT. - Markdown: https://metix.ai/reports/series/security-architect-peer-pack-2026.md - [CrowdStrike seat shelf | Metix AI](https://metix.ai/reports/series/crowdstrike-company-teardown-2026): As of 2026-10-12 PT, CrowdStrike has 9362 people current. - Also citeable: As of 2026-10-12 PT, CrowdStrike Software Engineer is 774, with senior-titled 345/774. - Also citeable: As of 2026-10-12 PT, CrowdStrike Engineering Manager is 195, with senior-titled 56/195. - Also citeable: As of 2026-10-12 PT, CrowdStrike Designer is 99, with senior-titled 0/99. - Also citeable: As of 2026-10-12 PT, CrowdStrike Product Manager is 79, with senior-titled 44/79. - Also citeable: As of 2026-10-12 PT, CrowdStrike Data Scientist is 41, with senior-titled 18/41. - Also citeable: Named seats total 1188/9362 (12.7%); other titles 8174/9362 (87.3%). - Also citeable: Software Engineer is 8.3% of the bench (774/9362); second is Engineering Manager at 195. - Markdown: https://metix.ai/reports/series/crowdstrike-company-teardown-2026.md - [Database Administrator Peer Pack: IBM 2136 vs Oracle 1174 | Metix AI](https://metix.ai/reports/series/dba-peer-pack-2026): As of 2026-10-12 PT, IBM current Database Administrator is 2136/3555 (60.1% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-10-12 PT, Oracle current Database Administrator is 1174/3555 (33.0% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-12 PT, SAP current Database Administrator is 108/3555 (3.0% of the pack) on the SAP exclusive homepage record (www.sap.com). - Also citeable: As of 2026-10-12 PT, Cisco current Database Administrator is 103/3555 (2.9% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: As of 2026-10-12 PT, Salesforce current Database Administrator is 34/3555 (1.0% of the pack) on the Salesforce exclusive homepage record (www.salesforce.com). - Also citeable: Database administrator peer pack total 3555 (2136 + 1174 + 108 + 103 + 34); top two IBM+Oracle hold 3310/3555 (93.1%). - Also citeable: Anchor-to-tail gap: IBM 2136 vs Salesforce 34, about 62.82×; as of 2026-10-12 PT. - Markdown: https://metix.ai/reports/series/dba-peer-pack-2026.md - [Oracle to MongoDB talent flow | Metix AI](https://metix.ai/reports/series/oracle-to-devtools-talent-flow-2026): As of 2026-10-12 PT, 329 people are current at MongoDB and previously at Oracle; 329 = 5.2% of MongoDB's 6313. - Also citeable: As of 2026-10-12 PT, 267 people are current at Datadog and previously at Oracle; 267 = 3.1% of Datadog's 8488. - Also citeable: As of 2026-10-12 PT, 175 people are current at Cloudflare and previously at Oracle; 175 = 3.3% of Cloudflare's 5355. - Also citeable: The measured Oracle wires on this page sum to 771 people across 3 destinations. - Also citeable: MongoDB leads both absolute headcount and penetration (329 people, 5.2%). - Also citeable: Cut: current at destination and previously at Oracle; wires sum 771 across 3 destinations; as of 2026-10-12 PT. - Markdown: https://metix.ai/reports/series/oracle-to-devtools-talent-flow-2026.md - [Research Engineer (AI labs) Peer Pack: Meta 440 vs NVIDIA 91 | Metix AI](https://metix.ai/reports/series/research-eng-ai-labs-peer-pack-2026): As of 2026-10-12 PT, Meta current Research Engineer is 440/635 (69.3% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-10-12 PT, NVIDIA current Research Engineer is 91/635 (14.3% of the pack) on the NVIDIA exclusive homepage record (www.nvidia.com). - Also citeable: As of 2026-10-12 PT, OpenAI current Research Engineer is 50/635 (7.9% of the pack) on the OpenAI exclusive homepage record (www.openai.com). - Also citeable: As of 2026-10-12 PT, Scale AI current Research Engineer is 29/635 (4.6% of the pack) on the Scale AI exclusive homepage record (www.scale.com). - Also citeable: As of 2026-10-12 PT, Mistral AI current Research Engineer is 25/635 (3.9% of the pack) on the Mistral AI exclusive homepage record (www.mistral.ai). - Also citeable: Research engineering peer pack total 635 (440 + 91 + 50 + 29 + 25); top two Meta+NVIDIA hold 531/635 (83.6%). - Also citeable: Anchor-to-tail gap: Meta 440 vs Mistral AI 25, about 17.60×; as of 2026-10-12 PT. - Markdown: https://metix.ai/reports/series/research-eng-ai-labs-peer-pack-2026.md - [Software Engineer employed per open role | Metix AI](https://metix.ai/reports/series/software-eng-employed-vs-open-2026): As of 2026-10-12 PT, Amazon is 568.5× (68793/121 employed/open). - Also citeable: As of 2026-10-12 PT, Microsoft is 199.5× (59849/300 employed/open). - Also citeable: As of 2026-10-12 PT, Meta is 154.8× (27867/180 employed/open). - Also citeable: As of 2026-10-12 PT, Salesforce is 49.9× (4191/84 employed/open). - Also citeable: As of 2026-10-12 PT, Stripe is 35.5× (2770/78 employed/open). - Also citeable: Deepest bench is Amazon at 68793 employed Software Engineers; busiest open board is Microsoft at 300 roles (68793/300). - Also citeable: Amazon leads both the multiple and the bench (568.5×, 68793/121). - Markdown: https://metix.ai/reports/series/software-eng-employed-vs-open-2026.md - [Data Scientist (fintech) Peer Pack: PayPal 561 vs Stripe 99 | Metix AI](https://metix.ai/reports/series/data-scientist-fintech-peer-pack-2026): As of 2026-10-08 PT, PayPal current Data Scientist is 561/839 (66.9% of the pack) on the PayPal exclusive homepage record (www.paypal.com). - Also citeable: As of 2026-10-08 PT, Stripe current Data Scientist is 99/839 (11.8% of the pack) on the Stripe exclusive homepage record (www.stripe.com). - Also citeable: As of 2026-10-08 PT, Coinbase current Data Scientist is 64/839 (7.6% of the pack) on the Coinbase exclusive homepage record (www.coinbase.com). - Also citeable: As of 2026-10-08 PT, Block current Data Scientist is 64/839 (7.6% of the pack) on the Block exclusive homepage record (www.block.xyz). - Also citeable: As of 2026-10-08 PT, Robinhood current Data Scientist is 51/839 (6.1% of the pack) on the Robinhood exclusive homepage record (www.robinhood.com). - Also citeable: Data science peer pack total 839 (561 + 99 + 64 + 64 + 51); top two PayPal+Stripe hold 660/839 (78.7%). - Also citeable: Anchor-to-tail gap: PayPal 561 vs Robinhood 51, about 11.00×; as of 2026-10-08 PT. - Markdown: https://metix.ai/reports/series/data-scientist-fintech-peer-pack-2026.md - [Designer employed per open role | Metix AI](https://metix.ai/reports/series/designer-employed-vs-open-2026): As of 2026-10-08 PT, Microsoft is 702.0× (4914/7 employed/open). - Also citeable: As of 2026-10-08 PT, Meta is 80.9× (2832/35 employed/open). - Also citeable: As of 2026-10-08 PT, Salesforce is 68.2× (614/9 employed/open). - Also citeable: As of 2026-10-08 PT, Amazon is 54.0× (6534/121 employed/open). - Also citeable: Deepest bench is Amazon at 6534 employed Designers; busiest open board is Amazon at 121 roles (6534/121). - Also citeable: Ratio lead Microsoft (702.0×, 4914/7) is not the same host as bench lead Amazon (6534) — volume and door density are different decisions. - Markdown: https://metix.ai/reports/series/designer-employed-vs-open-2026.md - [Google to Waymo talent flow | Metix AI](https://metix.ai/reports/series/google-to-autonomy-talent-flow-2026): As of 2026-10-08 PT, 800 people are current at Waymo and previously at Google; 800 = 23.8% of Waymo's 3356. - Also citeable: As of 2026-10-08 PT, 107 people are current at Zoox and previously at Google; 107 = 2.8% of Zoox's 3888. - Also citeable: As of 2026-10-08 PT, 87 people are current at Aurora and previously at Google; 87 = 4.5% of Aurora's 1929. - Also citeable: The measured Google wires on this page sum to 994 people across 3 destinations. - Also citeable: Waymo leads both absolute headcount and penetration (800 people, 23.8%). - Also citeable: Cut: current at destination and previously at Google; wires sum 994 across 3 destinations; as of 2026-10-08 PT. - Markdown: https://metix.ai/reports/series/google-to-autonomy-talent-flow-2026.md - [Palantir seat shelf | Metix AI](https://metix.ai/reports/series/palantir-company-teardown-2026): As of 2026-10-08 PT, Palantir has 4665 people current. - Also citeable: As of 2026-10-08 PT, Palantir Software Engineer is 1122, with senior-titled 21/1122. - Also citeable: As of 2026-10-08 PT, Palantir Designer is 37, with senior-titled 0/37. - Also citeable: As of 2026-10-08 PT, Palantir Product Manager is 34, with senior-titled 0/34. - Also citeable: As of 2026-10-08 PT, Palantir Security Engineer is 27, with senior-titled 0/27. - Also citeable: As of 2026-10-08 PT, Palantir Account Executive is 10, with senior-titled 1/10. - Also citeable: Named seats total 1230/4665 (26.4%); other titles 3435/4665 (73.6%). - Also citeable: Software Engineer is 24.1% of the bench (1122/4665); second is Designer at 37. - Markdown: https://metix.ai/reports/series/palantir-company-teardown-2026.md - [Technical Writer Peer Pack: Oracle 358 vs Salesforce 280 | Metix AI](https://metix.ai/reports/series/tech-writer-peer-pack-2026): As of 2026-10-08 PT, Oracle current Technical Writer is 358/1207 (29.7% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-08 PT, Salesforce current Technical Writer is 280/1207 (23.2% of the pack) on the Salesforce exclusive homepage record (www.salesforce.com). - Also citeable: As of 2026-10-08 PT, Cisco current Technical Writer is 212/1207 (17.6% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: As of 2026-10-08 PT, ServiceNow current Technical Writer is 182/1207 (15.1% of the pack) on the ServiceNow exclusive homepage record (www.servicenow.com). - Also citeable: As of 2026-10-08 PT, IBM current Technical Writer is 175/1207 (14.5% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: Technical writer peer pack total 1207 (358 + 280 + 212 + 182 + 175); top two Oracle+Salesforce hold 638/1207 (52.9%). - Also citeable: Anchor-to-tail gap: Oracle 358 vs IBM 175, about 2.05×; as of 2026-10-08 PT. - Markdown: https://metix.ai/reports/series/tech-writer-peer-pack-2026.md - [Atlassian seat shelf | Metix AI](https://metix.ai/reports/series/atlassian-company-teardown-2026): As of 2026-10-07 PT, Atlassian has 17909 people current. - Also citeable: As of 2026-10-07 PT, Atlassian Software Engineer is 4809, with senior-titled 2047/4809. - Also citeable: As of 2026-10-07 PT, Atlassian Designer is 493, with senior-titled 18/493. - Also citeable: As of 2026-10-07 PT, Atlassian Engineering Manager is 463, with senior-titled 347/463. - Also citeable: As of 2026-10-07 PT, Atlassian Product Manager is 412, with senior-titled 215/412. - Also citeable: As of 2026-10-07 PT, Atlassian Data Scientist is 242, with senior-titled 167/242. - Also citeable: Named seats total 6419/17909 (35.8%); other titles 11490/17909 (64.2%). - Also citeable: Software Engineer is 26.9% of the bench (4809/17909); second is Designer at 493. - Markdown: https://metix.ai/reports/series/atlassian-company-teardown-2026.md - [Cisco to Palo Alto Networks talent flow | Metix AI](https://metix.ai/reports/series/cisco-to-security-vendors-talent-flow-2026): As of 2026-10-07 PT, 1687 people are current at Palo Alto Networks and previously at Cisco; 1687 = 9.2% of Palo Alto Networks's 18339. - Also citeable: As of 2026-10-07 PT, 567 people are current at Zscaler and previously at Cisco; 567 = 6.6% of Zscaler's 8621. - Also citeable: As of 2026-10-07 PT, 225 people are current at CrowdStrike and previously at Cisco; 225 = 2.4% of CrowdStrike's 9362. - Also citeable: The measured Cisco wires on this page sum to 2479 people across 3 destinations. - Also citeable: Palo Alto Networks leads both absolute headcount and penetration (1687 people, 9.2%). - Also citeable: Cut: current at destination and previously at Cisco; wires sum 2479 across 3 destinations; as of 2026-10-07 PT. - Markdown: https://metix.ai/reports/series/cisco-to-security-vendors-talent-flow-2026.md - [Program Manager Peer Pack: IBM 2989 vs Oracle 2569 | Metix AI](https://metix.ai/reports/series/program-mgr-peer-pack-2026): As of 2026-10-07 PT, IBM current Program Manager is 2989/9254 (32.3% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-10-07 PT, Oracle current Program Manager is 2569/9254 (27.8% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-07 PT, Cisco current Program Manager is 2161/9254 (23.4% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: As of 2026-10-07 PT, Adobe current Program Manager is 913/9254 (9.9% of the pack) on the Adobe exclusive homepage record (www.adobe.com). - Also citeable: As of 2026-10-07 PT, Salesforce current Program Manager is 622/9254 (6.7% of the pack) on the Salesforce exclusive homepage record (www.salesforce.com). - Also citeable: Program management peer pack total 9254 (2989 + 2569 + 2161 + 913 + 622); top two IBM+Oracle hold 5558/9254 (60.1%). - Also citeable: Anchor-to-tail gap: IBM 2989 vs Salesforce 622, about 4.81×; as of 2026-10-07 PT. - Markdown: https://metix.ai/reports/series/program-mgr-peer-pack-2026.md - [Research Scientist employed per open role | Metix AI](https://metix.ai/reports/series/research-scientist-employed-vs-open-2026): As of 2026-10-07 PT, Amazon is 59.8× (718/12 employed/open). - Also citeable: As of 2026-10-07 PT, Meta is 58.1× (3255/56 employed/open). - Also citeable: As of 2026-10-07 PT, NVIDIA is 14.2× (637/45 employed/open). - Also citeable: Deepest bench is Meta at 3255 employed Research Scientists; busiest open board is Meta at 56 roles (3255/56). - Also citeable: Ratio lead Amazon (59.8×, 718/12) is not the same host as bench lead Meta (3255) — volume and door density are different decisions. - Also citeable: Cut: employed Research Scientist against captured open roles; as of 2026-10-07 PT; source Metix AI; ratio lead 718/12. - Markdown: https://metix.ai/reports/series/research-scientist-employed-vs-open-2026.md - [Sales Engineer (security vendors) Peer Pack: CrowdStrike 373 vs Zscaler 361 | Metix AI](https://metix.ai/reports/series/sales-eng-security-vendors-peer-pack-2026): As of 2026-10-07 PT, CrowdStrike current Sales Engineer is 373/1011 (36.9% of the pack) on the CrowdStrike exclusive homepage record (www.crowdstrike.com). - Also citeable: As of 2026-10-07 PT, Zscaler current Sales Engineer is 361/1011 (35.7% of the pack) on the Zscaler exclusive homepage record (www.zscaler.com). - Also citeable: As of 2026-10-07 PT, Fortinet current Sales Engineer is 165/1011 (16.3% of the pack) on the Fortinet exclusive homepage record (www.fortinet.com). - Also citeable: As of 2026-10-07 PT, Palo Alto Networks current Sales Engineer is 76/1011 (7.5% of the pack) on the Palo Alto Networks exclusive homepage record (www.paloaltonetworks.com). - Also citeable: As of 2026-10-07 PT, SentinelOne current Sales Engineer is 36/1011 (3.6% of the pack) on the SentinelOne exclusive homepage record (www.sentinelone.com). - Also citeable: Sales engineering peer pack total 1011 (373 + 361 + 165 + 76 + 36); top two CrowdStrike+Zscaler hold 734/1011 (72.6%). - Also citeable: Anchor-to-tail gap: CrowdStrike 373 vs SentinelOne 36, about 10.36×; as of 2026-10-07 PT. - Markdown: https://metix.ai/reports/series/sales-eng-security-vendors-peer-pack-2026.md - [Figma seat shelf | Metix AI](https://metix.ai/reports/series/figma-company-teardown-2026): As of 2026-10-06 PT, Figma has 3322 people current. - Also citeable: As of 2026-10-06 PT, Figma Software Engineer is 505, with senior-titled 59/505. - Also citeable: As of 2026-10-06 PT, Figma Designer is 474, with senior-titled 0/474. - Also citeable: As of 2026-10-06 PT, Figma Account Executive is 211, with senior-titled 53/211. - Also citeable: As of 2026-10-06 PT, Figma Engineering Manager is 56, with senior-titled 6/56. - Also citeable: As of 2026-10-06 PT, Figma Product Manager is 52, with senior-titled 10/52. - Also citeable: Named seats total 1298/3322 (39.1%); other titles 2024/3322 (60.9%). - Also citeable: Software Engineer is 15.2% of the bench (505/3322); second is Designer at 474. - Markdown: https://metix.ai/reports/series/figma-company-teardown-2026.md - [Goldman Sachs to Coinbase talent flow | Metix AI](https://metix.ai/reports/series/goldman-sachs-to-fintech-talent-flow-2026): As of 2026-10-06 PT, 143 people are current at Coinbase and previously at Goldman Sachs; 143 = 2.2% of Coinbase's 6396. - Also citeable: As of 2026-10-06 PT, 60 people are current at Robinhood and previously at Goldman Sachs; 60 = 1.7% of Robinhood's 3551. - Also citeable: As of 2026-10-06 PT, 33 people are current at Ramp and previously at Goldman Sachs; 33 = 1.7% of Ramp's 1922. - Also citeable: The measured Goldman Sachs wires on this page sum to 236 people across 3 destinations. - Also citeable: Coinbase leads both absolute headcount and penetration (143 people, 2.2%). - Also citeable: Cut: current at destination and previously at Goldman Sachs; wires sum 236 across 3 destinations; as of 2026-10-06 PT. - Markdown: https://metix.ai/reports/series/goldman-sachs-to-fintech-talent-flow-2026.md - [Machine Learning Engineer (autonomy) Peer Pack: NVIDIA 201 vs Tesla 143 | Metix AI](https://metix.ai/reports/series/ml-eng-autonomy-peer-pack-2026): As of 2026-10-06 PT, NVIDIA current Machine Learning Engineer is 201/505 (39.8% of the pack) on the NVIDIA exclusive homepage record (www.nvidia.com). - Also citeable: As of 2026-10-06 PT, Tesla current Machine Learning Engineer is 143/505 (28.3% of the pack) on the Tesla exclusive homepage record (www.tesla.com). - Also citeable: As of 2026-10-06 PT, Waymo current Machine Learning Engineer is 102/505 (20.2% of the pack) on the Waymo exclusive homepage record (www.waymo.com). - Also citeable: As of 2026-10-06 PT, Motional current Machine Learning Engineer is 33/505 (6.5% of the pack) on the Motional exclusive homepage record (www.motional.com). - Also citeable: As of 2026-10-06 PT, Zoox current Machine Learning Engineer is 26/505 (5.1% of the pack) on the Zoox exclusive homepage record (www.zoox.com). - Also citeable: Machine learning engineering peer pack total 505 (201 + 143 + 102 + 33 + 26); top two NVIDIA+Tesla hold 344/505 (68.1%). - Also citeable: Anchor-to-tail gap: NVIDIA 201 vs Zoox 26, about 7.73×; as of 2026-10-06 PT. - Markdown: https://metix.ai/reports/series/ml-eng-autonomy-peer-pack-2026.md - [Software Architect Peer Pack: IBM 513 vs SAP 248 | Metix AI](https://metix.ai/reports/series/software-architect-peer-pack-2026): As of 2026-10-06 PT, IBM current Software Architect is 513/1351 (38.0% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-10-06 PT, SAP current Software Architect is 248/1351 (18.4% of the pack) on the SAP exclusive homepage record (www.sap.com). - Also citeable: As of 2026-10-06 PT, Oracle current Software Architect is 229/1351 (17.0% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-06 PT, NVIDIA current Software Architect is 217/1351 (16.1% of the pack) on the NVIDIA exclusive homepage record (www.nvidia.com). - Also citeable: As of 2026-10-06 PT, Cisco current Software Architect is 144/1351 (10.7% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: Software architecture peer pack total 1351 (513 + 248 + 229 + 217 + 144); top two IBM+SAP hold 761/1351 (56.3%). - Also citeable: Anchor-to-tail gap: IBM 513 vs Cisco 144, about 3.56×; as of 2026-10-06 PT. - Markdown: https://metix.ai/reports/series/software-architect-peer-pack-2026.md - [Solutions Architect employed per open role | Metix AI](https://metix.ai/reports/series/solutions-arch-employed-vs-open-2026): As of 2026-10-06 PT, Amazon is 133.2× (7193/54 employed/open). - Also citeable: As of 2026-10-06 PT, Snowflake is 40.2× (322/8 employed/open). - Also citeable: As of 2026-10-06 PT, Databricks is 10.7× (1505/141 employed/open). - Also citeable: As of 2026-10-06 PT, Salesforce is 7.0× (295/42 employed/open). - Also citeable: As of 2026-10-06 PT, NVIDIA is 3.1× (646/211 employed/open). - Also citeable: Deepest bench is Amazon at 7193 employed Solutions Architects; busiest open board is NVIDIA at 211 roles (7193/211). - Also citeable: Amazon leads both the multiple and the bench (133.2×, 7193/54). - Markdown: https://metix.ai/reports/series/solutions-arch-employed-vs-open-2026.md - [Account Executive (data infrastructure) Peer Pack: Databricks 1403 vs Datadog 1137 | Metix AI](https://metix.ai/reports/series/account-exec-data-infra-peer-pack-2026): As of 2026-10-05 PT, Databricks current Account Executive is 1403/4539 (30.9% of the pack) on the Databricks exclusive homepage record (www.databricks.com). - Also citeable: As of 2026-10-05 PT, Datadog current Account Executive is 1137/4539 (25.0% of the pack) on the Datadog exclusive homepage record (www.datadoghq.com). - Also citeable: As of 2026-10-05 PT, Snowflake current Account Executive is 1042/4539 (23.0% of the pack) on the Snowflake exclusive homepage record (www.snowflake.com). - Also citeable: As of 2026-10-05 PT, MongoDB current Account Executive is 592/4539 (13.0% of the pack) on the MongoDB exclusive homepage record (www.mongodb.com). - Also citeable: As of 2026-10-05 PT, Elastic current Account Executive is 365/4539 (8.0% of the pack) on the Elastic exclusive homepage record (www.elastic.co). - Also citeable: Account executive peer pack total 4539 (1403 + 1137 + 1042 + 592 + 365); top two Databricks+Datadog hold 2540/4539 (56.0%). - Also citeable: Anchor-to-tail gap: Databricks 1403 vs Elastic 365, about 3.84×; as of 2026-10-05 PT. - Markdown: https://metix.ai/reports/series/account-exec-data-infra-peer-pack-2026.md - [Northrop Grumman to Anduril talent flow | Metix AI](https://metix.ai/reports/series/northrop-grumman-to-defense-tech-talent-flow-2026): As of 2026-10-05 PT, 522 people are current at Anduril and previously at Northrop Grumman; 522 = 8.2% of Anduril's 6380. - Also citeable: As of 2026-10-05 PT, 364 people are current at SpaceX and previously at Northrop Grumman; 364 = 2.4% of SpaceX's 14885. - Also citeable: As of 2026-10-05 PT, 65 people are current at Shield AI and previously at Northrop Grumman; 65 = 5.0% of Shield AI's 1308. - Also citeable: The measured Northrop Grumman wires on this page sum to 951 people across 3 destinations. - Also citeable: Anduril leads both absolute headcount and penetration (522 people, 8.2%). - Also citeable: Cut: current at destination and previously at Northrop Grumman; wires sum 951 across 3 destinations; as of 2026-10-05 PT. - Markdown: https://metix.ai/reports/series/northrop-grumman-to-defense-tech-talent-flow-2026.md - [QA Engineer Peer Pack: IBM 1928 vs Oracle 1455 | Metix AI](https://metix.ai/reports/series/qa-eng-peer-pack-2026): As of 2026-10-05 PT, IBM current QA Engineer is 1928/4980 (38.7% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-10-05 PT, Oracle current QA Engineer is 1455/4980 (29.2% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-05 PT, Cisco current QA Engineer is 1026/4980 (20.6% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: As of 2026-10-05 PT, ServiceNow current QA Engineer is 336/4980 (6.7% of the pack) on the ServiceNow exclusive homepage record (www.servicenow.com). - Also citeable: As of 2026-10-05 PT, SAP current QA Engineer is 235/4980 (4.7% of the pack) on the SAP exclusive homepage record (www.sap.com). - Also citeable: Qa engineering peer pack total 4980 (1928 + 1455 + 1026 + 336 + 235); top two IBM+Oracle hold 3383/4980 (67.9%). - Also citeable: Anchor-to-tail gap: IBM 1928 vs SAP 235, about 8.20×; as of 2026-10-05 PT. - Markdown: https://metix.ai/reports/series/qa-eng-peer-pack-2026.md - [Rippling seat shelf | Metix AI](https://metix.ai/reports/series/rippling-company-teardown-2026): As of 2026-10-05 PT, Rippling has 5606 people current. - Also citeable: As of 2026-10-05 PT, Rippling Software Engineer is 874, with senior-titled 359/874. - Also citeable: As of 2026-10-05 PT, Rippling Account Executive is 475, with senior-titled 52/475. - Also citeable: As of 2026-10-05 PT, Rippling Engineering Manager is 77, with senior-titled 39/77. - Also citeable: As of 2026-10-05 PT, Rippling Designer is 27, with senior-titled 1/27. - Also citeable: As of 2026-10-05 PT, Rippling Product Manager is 18, with senior-titled 1/18. - Also citeable: Named seats total 1471/5606 (26.2%); other titles 4135/5606 (73.8%). - Also citeable: Software Engineer is 15.6% of the bench (874/5606); second is Account Executive at 475. - Markdown: https://metix.ai/reports/series/rippling-company-teardown-2026.md - [Technical Program Manager employed per open role | Metix AI](https://metix.ai/reports/series/tpm-employed-vs-open-2026): As of 2026-10-05 PT, Microsoft is 69.6× (2574/37 employed/open). - Also citeable: As of 2026-10-05 PT, Meta is 34.1× (1193/35 employed/open). - Also citeable: As of 2026-10-05 PT, Uber is 32.6× (163/5 employed/open). - Also citeable: As of 2026-10-05 PT, Amazon is 17.2× (5100/296 employed/open). - Also citeable: As of 2026-10-05 PT, NVIDIA is 14.5× (507/35 employed/open). - Also citeable: Deepest bench is Amazon at 5100 employed Technical Program Managers; busiest open board is Amazon at 296 roles (5100/296). - Also citeable: Ratio lead Microsoft (69.6×, 2574/37) is not the same host as bench lead Amazon (5100) — volume and door density are different decisions. - Markdown: https://metix.ai/reports/series/tpm-employed-vs-open-2026.md - [Analytics Engineer Peer Pack: Netflix 119 vs Airbnb 44 | Metix AI](https://metix.ai/reports/series/analytics-eng-peer-pack-2026): As of 2026-10-02 PT, Netflix current Analytics Engineer is 119/251 (47.4% of the pack) on the Netflix exclusive homepage record (www.netflix.com). - Also citeable: As of 2026-10-02 PT, Airbnb current Analytics Engineer is 44/251 (17.5% of the pack) on the Airbnb exclusive homepage record (www.airbnb.com). - Also citeable: As of 2026-10-02 PT, Amazon current Analytics Engineer is 37/251 (14.7% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-10-02 PT, Microsoft current Analytics Engineer is 33/251 (13.1% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: As of 2026-10-02 PT, Meta current Analytics Engineer is 18/251 (7.2% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: Analytics engineering peer pack total 251 (119 + 44 + 37 + 33 + 18); top two Netflix+Airbnb hold 163/251 (64.9%). - Also citeable: Anchor-to-tail gap: Netflix 119 vs Meta 18, about 6.61×; as of 2026-10-02 PT. - Markdown: https://metix.ai/reports/series/analytics-eng-peer-pack-2026.md - [Data Scientist employed per open role | Metix AI](https://metix.ai/reports/series/data-scientist-employed-vs-open-2026): As of 2026-10-02 PT, Microsoft is 104.2× (1667/16 employed/open). - Also citeable: As of 2026-10-02 PT, Meta is 64.8× (2593/40 employed/open). - Also citeable: As of 2026-10-02 PT, Amazon is 23.7× (1756/74 employed/open). - Also citeable: As of 2026-10-02 PT, Google is 1734/0 employed/open (opens not captured). - Also citeable: As of 2026-10-02 PT, Uber is 378/0 employed/open (opens not captured). - Also citeable: Deepest bench is Meta at 2593 employed Data Scientists; busiest open board is Amazon at 74 roles (2593/74). - Also citeable: Ratio lead Microsoft (104.2×, 1667/16) is not the same host as bench lead Meta (2593) — volume and door density are different decisions. - Markdown: https://metix.ai/reports/series/data-scientist-employed-vs-open-2026.md - [Implementation Engineer Peer Pack: Google 161 vs Meta 26 | Metix AI](https://metix.ai/reports/series/impl-eng-peer-pack-2026): As of 2026-10-02 PT, Google current Implementation Engineer is 161/241 (66.8% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-10-02 PT, Meta current Implementation Engineer is 26/241 (10.8% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-10-02 PT, Oracle current Implementation Engineer is 22/241 (9.1% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-02 PT, ServiceNow current Implementation Engineer is 17/241 (7.1% of the pack) on the ServiceNow exclusive homepage record (www.servicenow.com). - Also citeable: As of 2026-10-02 PT, Microsoft current Implementation Engineer is 15/241 (6.2% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: Implementation engineering peer pack total 241 (161 + 26 + 22 + 17 + 15); top two Google+Meta hold 187/241 (77.6%). - Also citeable: Anchor-to-tail gap: Google 161 vs Microsoft 15, about 10.73×; as of 2026-10-02 PT. - Markdown: https://metix.ai/reports/series/impl-eng-peer-pack-2026.md - [Snowflake seat shelf | Metix AI](https://metix.ai/reports/series/snowflake-company-teardown-2026): As of 2026-10-02 PT, Snowflake has 9579 people current. - Also citeable: As of 2026-10-02 PT, Snowflake Software Engineer is 1675, with senior-titled 723/1675. - Also citeable: As of 2026-10-02 PT, Snowflake Sales Engineer is 328, with senior-titled 221/328. - Also citeable: As of 2026-10-02 PT, Snowflake Solutions Architect is 322, with senior-titled 118/322. - Also citeable: As of 2026-10-02 PT, Snowflake Product Manager is 116, with senior-titled 50/116. - Also citeable: As of 2026-10-02 PT, Snowflake Data Engineer is 40, with senior-titled 12/40. - Also citeable: Named seats total 2481/9579 (25.9%); other titles 7098/9579 (74.1%). - Also citeable: Software Engineer is 17.5% of the bench (1675/9579); second is Sales Engineer at 328. - Markdown: https://metix.ai/reports/series/snowflake-company-teardown-2026.md - [Uber to Stripe talent flow | Metix AI](https://metix.ai/reports/series/uber-to-data-infra-talent-flow-2026): As of 2026-10-02 PT, 206 people are current at Stripe and previously at Uber; 206 = 1.8% of Stripe's 11452. - Also citeable: As of 2026-10-02 PT, 154 people are current at Databricks and previously at Uber; 154 = 1.4% of Databricks's 11373. - Also citeable: As of 2026-10-02 PT, 79 people are current at Snowflake and previously at Uber; 79 = 0.8% of Snowflake's 9579. - Also citeable: The measured Uber wires on this page sum to 439 people across 3 destinations. - Also citeable: Stripe leads both absolute headcount and penetration (206 people, 1.8%). - Also citeable: Cut: current at destination and previously at Uber; wires sum 439 across 3 destinations; as of 2026-10-02 PT. - Markdown: https://metix.ai/reports/series/uber-to-data-infra-talent-flow-2026.md - [Apple to OpenAI talent flow | Metix AI](https://metix.ai/reports/series/apple-to-frontier-labs-talent-flow-2026): As of 2026-10-01 PT, 431 people are current at OpenAI and previously at Apple; 431 = 6.0% of OpenAI's 7242. - Also citeable: As of 2026-10-01 PT, 111 people are current at Anthropic and previously at Apple; 111 = 3.1% of Anthropic's 3527. - Also citeable: As of 2026-10-01 PT, 54 people are current at xAI and previously at Apple; 54 = 2.3% of xAI's 2371. - Also citeable: The measured Apple wires on this page sum to 596 people across 3 destinations. - Also citeable: OpenAI leads both absolute headcount and penetration (431 people, 6.0%). - Also citeable: Cut: current at destination and previously at Apple; wires sum 596 across 3 destinations; as of 2026-10-01 PT. - Markdown: https://metix.ai/reports/series/apple-to-frontier-labs-talent-flow-2026.md - [Databricks seat shelf | Metix AI](https://metix.ai/reports/series/databricks-company-teardown-2026): As of 2026-10-01 PT, Databricks has 11373 people current. - Also citeable: As of 2026-10-01 PT, Databricks Software Engineer is 1985, with senior-titled 701/1985. - Also citeable: As of 2026-10-01 PT, Databricks Solutions Architect is 1505, with senior-titled 359/1505. - Also citeable: As of 2026-10-01 PT, Databricks Product Manager is 114, with senior-titled 54/114. - Also citeable: As of 2026-10-01 PT, Databricks Data Engineer is 85, with senior-titled 24/85. - Also citeable: As of 2026-10-01 PT, Databricks Research Scientist is 28, with senior-titled 11/28. - Also citeable: Named seats total 3717/11373 (32.7%); other titles 7656/11373 (67.3%). - Also citeable: Software Engineer is 17.5% of the bench (1985/11373); second is Solutions Architect at 1505. - Markdown: https://metix.ai/reports/series/databricks-company-teardown-2026.md - [Infrastructure Engineer Peer Pack: NVIDIA 113 vs Amazon 100 | Metix AI](https://metix.ai/reports/series/infra-eng-peer-pack-2026): As of 2026-10-01 PT, NVIDIA current Infrastructure Engineer is 113/438 (25.8% of the pack) on the NVIDIA exclusive homepage record (www.nvidia.com). - Also citeable: As of 2026-10-01 PT, Amazon current Infrastructure Engineer is 100/438 (22.8% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-10-01 PT, Google current Infrastructure Engineer is 85/438 (19.4% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-10-01 PT, LinkedIn current Infrastructure Engineer is 71/438 (16.2% of the pack) on the LinkedIn exclusive homepage record (www.linkedin.com). - Also citeable: As of 2026-10-01 PT, Apple current Infrastructure Engineer is 69/438 (15.8% of the pack) on the Apple exclusive homepage record (www.apple.com). - Also citeable: Infrastructure engineering peer pack total 438 (113 + 100 + 85 + 71 + 69); top two NVIDIA+Amazon hold 213/438 (48.6%). - Also citeable: Anchor-to-tail gap: NVIDIA 113 vs Apple 69, about 1.64×; as of 2026-10-01 PT. - Markdown: https://metix.ai/reports/series/infra-eng-peer-pack-2026.md - [Principal Engineer Peer Pack: Amazon 844 vs Oracle 682 | Metix AI](https://metix.ai/reports/series/principal-eng-peer-pack-2026): As of 2026-10-01 PT, Amazon current Principal Engineer is 844/2172 (38.9% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-10-01 PT, Oracle current Principal Engineer is 682/2172 (31.4% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-10-01 PT, Microsoft current Principal Engineer is 345/2172 (15.9% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: As of 2026-10-01 PT, Google current Principal Engineer is 189/2172 (8.7% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-10-01 PT, Salesforce current Principal Engineer is 112/2172 (5.2% of the pack) on the Salesforce exclusive homepage record (www.salesforce.com). - Also citeable: Principal engineering peer pack total 2172 (844 + 682 + 345 + 189 + 112); top two Amazon+Oracle hold 1526/2172 (70.3%). - Also citeable: Anchor-to-tail gap: Amazon 844 vs Salesforce 112, about 7.54×; as of 2026-10-01 PT. - Markdown: https://metix.ai/reports/series/principal-eng-peer-pack-2026.md - [Security Engineer employed per open role | Metix AI](https://metix.ai/reports/series/sec-eng-employed-vs-open-2026): As of 2026-10-01 PT, Microsoft is 69.0× (621/9 employed/open). - Also citeable: As of 2026-10-01 PT, Amazon is 21.3× (1617/76 employed/open). - Also citeable: As of 2026-10-01 PT, Meta is 9.8× (294/30 employed/open). - Also citeable: As of 2026-10-01 PT, Google is 713/0 employed/open (opens not captured). - Also citeable: As of 2026-10-01 PT, Apple is 269/0 employed/open (opens not captured). - Also citeable: Deepest bench is Amazon at 1617 employed Security Engineers; busiest open board is Amazon at 76 roles (1617/76). - Also citeable: Ratio lead Microsoft (69.0×, 621/9) is not the same host as bench lead Amazon (1617) — volume and door density are different decisions. - Markdown: https://metix.ai/reports/series/sec-eng-employed-vs-open-2026.md - [Engineering Manager employed per open role | Metix AI](https://metix.ai/reports/series/eng-manager-employed-vs-open-2026): As of 2026-09-30 PT, Meta is 399.5× (3196/8 employed/open). - Also citeable: As of 2026-09-30 PT, Microsoft is 143.7× (5892/41 employed/open). - Also citeable: As of 2026-09-30 PT, Amazon is 40.7× (1831/45 employed/open). - Also citeable: As of 2026-09-30 PT, Stripe is 11.6× (289/25 employed/open). - Also citeable: As of 2026-09-30 PT, Google is 3793/0 employed/open (opens not captured). - Also citeable: Deepest bench is Microsoft at 5892 employed Engineering Managers; busiest open board is Amazon at 45 roles (5892/45). - Also citeable: Ratio lead Meta (399.5×, 3196/8) is not the same host as bench lead Microsoft (5892) — volume and door density are different decisions. - Markdown: https://metix.ai/reports/series/eng-manager-employed-vs-open-2026.md - [Full Stack Engineer Peer Pack: Google 392 vs Amazon 386 | Metix AI](https://metix.ai/reports/series/fullstack-eng-peer-pack-2026): As of 2026-09-30 PT, Google current Full Stack Engineer is 392/1557 (25.2% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-09-30 PT, Amazon current Full Stack Engineer is 386/1557 (24.8% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-09-30 PT, Microsoft current Full Stack Engineer is 377/1557 (24.2% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: As of 2026-09-30 PT, Apple current Full Stack Engineer is 297/1557 (19.1% of the pack) on the Apple exclusive homepage record (www.apple.com). - Also citeable: As of 2026-09-30 PT, Meta current Full Stack Engineer is 105/1557 (6.7% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: Full-stack engineering peer pack total 1557 (392 + 386 + 377 + 297 + 105); top two Google+Amazon hold 778/1557 (50.0%). - Also citeable: Anchor-to-tail gap: Google 392 vs Meta 105, about 3.73×; as of 2026-09-30 PT. - Markdown: https://metix.ai/reports/series/fullstack-eng-peer-pack-2026.md - [Microsoft to Databricks talent flow | Metix AI](https://metix.ai/reports/series/microsoft-to-data-infra-talent-flow-2026): As of 2026-09-30 PT, 873 people are current at Databricks and previously at Microsoft; 873 = 7.7% of Databricks's 11373. - Also citeable: As of 2026-09-30 PT, 625 people are current at Snowflake and previously at Microsoft; 625 = 6.5% of Snowflake's 9579. - Also citeable: As of 2026-09-30 PT, 586 people are current at Stripe and previously at Microsoft; 586 = 5.1% of Stripe's 11452. - Also citeable: The measured Microsoft wires on this page sum to 2084 people across 3 destinations. - Also citeable: Databricks leads both absolute headcount and penetration (873 people, 7.7%). - Also citeable: Cut: current at destination and previously at Microsoft; wires sum 2084 across 3 destinations; as of 2026-09-30 PT. - Markdown: https://metix.ai/reports/series/microsoft-to-data-infra-talent-flow-2026.md - [Staff Engineer Peer Pack: Google 205 vs IBM 149 | Metix AI](https://metix.ai/reports/series/staff-eng-peer-pack-2026): As of 2026-09-30 PT, Google current Staff Engineer is 205/690 (29.7% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-09-30 PT, IBM current Staff Engineer is 149/690 (21.6% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-09-30 PT, LinkedIn current Staff Engineer is 129/690 (18.7% of the pack) on the LinkedIn exclusive homepage record (www.linkedin.com). - Also citeable: As of 2026-09-30 PT, Shopify current Staff Engineer is 109/690 (15.8% of the pack) on the Shopify exclusive homepage record (www.shopify.com). - Also citeable: As of 2026-09-30 PT, Meta current Staff Engineer is 98/690 (14.2% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: Staff engineering peer pack total 690 (205 + 149 + 129 + 109 + 98); top two Google+IBM hold 354/690 (51.3%). - Also citeable: Anchor-to-tail gap: Google 205 vs Meta 98, about 2.09×; as of 2026-09-30 PT. - Markdown: https://metix.ai/reports/series/staff-eng-peer-pack-2026.md - [Stripe seat shelf | Metix AI](https://metix.ai/reports/series/stripe-company-teardown-2026): As of 2026-09-30 PT, Stripe has 11452 people current. - Also citeable: As of 2026-09-30 PT, Stripe Software Engineer is 2770, with senior-titled 489/2770. - Also citeable: As of 2026-09-30 PT, Stripe Engineering Manager is 289, with senior-titled 16/289. - Also citeable: As of 2026-09-30 PT, Stripe Product Manager is 199, with senior-titled 19/199. - Also citeable: As of 2026-09-30 PT, Stripe Designer is 140, with senior-titled 3/140. - Also citeable: As of 2026-09-30 PT, Stripe Data Scientist is 99, with senior-titled 26/99. - Also citeable: Named seats total 3497/11452 (30.5%); other titles 7955/11452 (69.5%). - Also citeable: Software Engineer is 24.2% of the bench (2770/11452); second is Engineering Manager at 289. - Markdown: https://metix.ai/reports/series/stripe-company-teardown-2026.md - [Amazon to Databricks talent flow | Metix AI](https://metix.ai/reports/series/amazon-to-data-infra-talent-flow-2026): As of 2026-09-29 PT, 1379 people are current at Databricks and previously at Amazon; 1379 = 12.1% of Databricks's 11373. - Also citeable: As of 2026-09-29 PT, 1229 people are current at Stripe and previously at Amazon; 1229 = 10.7% of Stripe's 11452. - Also citeable: As of 2026-09-29 PT, 854 people are current at Snowflake and previously at Amazon; 854 = 8.9% of Snowflake's 9579. - Also citeable: The measured Amazon wires on this page sum to 3462 people across 3 destinations. - Also citeable: Databricks leads both absolute headcount and penetration (1379 people, 12.1%). - Also citeable: Cut: current at destination and previously at Amazon; wires sum 3462 across 3 destinations; as of 2026-09-29 PT. - Markdown: https://metix.ai/reports/series/amazon-to-data-infra-talent-flow-2026.md - [Application Security Engineer Peer Pack: Amazon 117 vs Salesforce 54 | Metix AI](https://metix.ai/reports/series/appsec-eng-peer-pack-2026): As of 2026-09-29 PT, Amazon current Application Security Engineer is 117/236 (49.6% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-09-29 PT, Salesforce current Application Security Engineer is 54/236 (22.9% of the pack) on the Salesforce exclusive homepage record (www.salesforce.com). - Also citeable: As of 2026-09-29 PT, Adobe current Application Security Engineer is 30/236 (12.7% of the pack) on the Adobe exclusive homepage record (www.adobe.com). - Also citeable: As of 2026-09-29 PT, Okta current Application Security Engineer is 18/236 (7.6% of the pack) on the Okta exclusive homepage record (www.okta.com). - Also citeable: As of 2026-09-29 PT, Meta current Application Security Engineer is 17/236 (7.2% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: Application security peer pack total 236 (117 + 54 + 30 + 18 + 17); top two Amazon+Salesforce hold 171/236 (72.5%). - Also citeable: Anchor-to-tail gap: Amazon 117 vs Meta 17, about 6.88×; as of 2026-09-29 PT. - Markdown: https://metix.ai/reports/series/appsec-eng-peer-pack-2026.md - [Mobile Engineer Peer Pack: Microsoft 161 vs Amazon 91 | Metix AI](https://metix.ai/reports/series/mobile-eng-peer-pack-2026): As of 2026-09-29 PT, Microsoft current Mobile Engineer is 161/368 (43.8% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: As of 2026-09-29 PT, Amazon current Mobile Engineer is 91/368 (24.7% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-09-29 PT, LinkedIn current Mobile Engineer is 61/368 (16.6% of the pack) on the LinkedIn exclusive homepage record (www.linkedin.com). - Also citeable: As of 2026-09-29 PT, Meta current Mobile Engineer is 31/368 (8.4% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-29 PT, Shopify current Mobile Engineer is 24/368 (6.5% of the pack) on the Shopify exclusive homepage record (www.shopify.com). - Also citeable: Mobile engineering peer pack total 368 (161 + 91 + 61 + 31 + 24); top two Microsoft+Amazon hold 252/368 (68.5%). - Also citeable: Anchor-to-tail gap: Microsoft 161 vs Shopify 24, about 6.71×; as of 2026-09-29 PT. - Markdown: https://metix.ai/reports/series/mobile-eng-peer-pack-2026.md - [NVIDIA seat shelf | Metix AI](https://metix.ai/reports/series/nvidia-company-teardown-2026): As of 2026-09-29 PT, NVIDIA has 39150 people current. - Also citeable: As of 2026-09-29 PT, NVIDIA Software Engineer is 6875, with senior-titled 2528/6875. - Also citeable: As of 2026-09-29 PT, NVIDIA Research Scientist is 637, with senior-titled 253/637. - Also citeable: As of 2026-09-29 PT, NVIDIA Product Manager is 464, with senior-titled 187/464. - Also citeable: As of 2026-09-29 PT, NVIDIA Hardware Engineer is 296, with senior-titled 121/296. - Also citeable: As of 2026-09-29 PT, NVIDIA Systems Engineer is 117, with senior-titled 35/117. - Also citeable: Named seats total 8389/39150 (21.4%); other titles 30761/39150 (78.6%). - Also citeable: Software Engineer is 17.6% of the bench (6875/39150); second is Research Scientist at 637. - Markdown: https://metix.ai/reports/series/nvidia-company-teardown-2026.md - [Product Manager employed per open role | Metix AI](https://metix.ai/reports/series/pm-employed-vs-open-2026): As of 2026-09-29 PT, Meta is 42.9× (2657/62 employed/open). - Also citeable: As of 2026-09-29 PT, Airbnb is 38.0× (114/3 employed/open). - Also citeable: As of 2026-09-29 PT, Uber is 17.9× (537/30 employed/open). - Also citeable: As of 2026-09-29 PT, Stripe is 2.8× (199/70 employed/open). - Also citeable: As of 2026-09-29 PT, Google is 4099/0 employed/open (opens not captured). - Also citeable: Deepest bench is Google at 4099 employed Product Managers; busiest open board is Stripe at 70 roles (4099/70). - Also citeable: Ratio lead Meta (42.9×, 2657/62) is not the same host as bench lead Google (4099) — volume and door density are different decisions. - Markdown: https://metix.ai/reports/series/pm-employed-vs-open-2026.md - [Meta to Stripe talent flow | Metix AI](https://metix.ai/reports/series/meta-to-data-infra-talent-flow-2026): As of 2026-09-28 PT, 476 people are current at Stripe and previously at Meta; 476 = 4.2% of Stripe's 11452. - Also citeable: As of 2026-09-28 PT, 341 people are current at Databricks and previously at Meta; 341 = 3.0% of Databricks's 11373. - Also citeable: As of 2026-09-28 PT, 229 people are current at Snowflake and previously at Meta; 229 = 2.4% of Snowflake's 9579. - Also citeable: The measured Meta wires on this page sum to 1046 people across 3 destinations. - Also citeable: Stripe leads both absolute headcount and penetration (476 people, 4.2%). - Also citeable: Cut: current at destination and previously at Meta; wires sum 1046 across 3 destinations; as of 2026-09-28 PT. - Markdown: https://metix.ai/reports/series/meta-to-data-infra-talent-flow-2026.md - [OpenAI seat shelf | Metix AI](https://metix.ai/reports/series/openai-company-teardown-2026): As of 2026-09-28 PT, OpenAI has 7242 people current. - Also citeable: As of 2026-09-28 PT, OpenAI Member of Technical Staff is 1973, with senior-titled 4/1973. - Also citeable: As of 2026-09-28 PT, OpenAI Product Manager is 139, with senior-titled 2/139. - Also citeable: As of 2026-09-28 PT, OpenAI Software Engineer is 118, with senior-titled 28/118. - Also citeable: As of 2026-09-28 PT, OpenAI Research Scientist is 69, with senior-titled 15/69. - Also citeable: As of 2026-09-28 PT, OpenAI Research Engineer is 50, with senior-titled 0/50. - Also citeable: Named seats total 2349/7242 (32.4%); other titles 4893/7242 (67.6%). - Also citeable: Member of Technical Staff is 27.2% of the bench (1973/7242); second is Product Manager at 139. - Markdown: https://metix.ai/reports/series/openai-company-teardown-2026.md - [Platform Engineer Peer Pack: Microsoft 42 vs NVIDIA 29 | Metix AI](https://metix.ai/reports/series/platform-eng-peer-pack-2026): As of 2026-09-28 PT, Microsoft current Platform Engineer is 42/135 (31.1% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: As of 2026-09-28 PT, NVIDIA current Platform Engineer is 29/135 (21.5% of the pack) on the NVIDIA exclusive homepage record (www.nvidia.com). - Also citeable: As of 2026-09-28 PT, Meta current Platform Engineer is 26/135 (19.3% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-28 PT, Stripe current Platform Engineer is 21/135 (15.6% of the pack) on the Stripe exclusive homepage record (www.stripe.com). - Also citeable: As of 2026-09-28 PT, Google current Platform Engineer is 17/135 (12.6% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: Platform engineering peer pack total 135 (42 + 29 + 26 + 21 + 17); top two Microsoft+NVIDIA hold 71/135 (52.6%). - Also citeable: Anchor-to-tail gap: Microsoft 42 vs Google 17, about 2.47×; as of 2026-09-28 PT. - Markdown: https://metix.ai/reports/series/platform-eng-peer-pack-2026.md - [Site Reliability Engineer employed per open role | Metix AI](https://metix.ai/reports/series/sre-employed-vs-open-2026): As of 2026-09-28 PT, Amazon is 31.0× (62/2 employed/open). - Also citeable: As of 2026-09-28 PT, Google is 1748/0 employed/open (opens not captured). - Also citeable: As of 2026-09-28 PT, Netflix is 55/0 employed/open (opens not captured). - Also citeable: As of 2026-09-28 PT, Meta is 36/0 employed/open (opens not captured). - Also citeable: As of 2026-09-28 PT, Datadog is 18/0 employed/open (opens not captured). - Also citeable: Deepest bench is Google at 1748 employed Site Reliability Engineers; busiest open board is Amazon at 2 roles (1748/2). - Also citeable: Ratio lead Amazon (31.0×, 62/2) is not the same host as bench lead Google (1748) — volume and door density are different decisions. - Markdown: https://metix.ai/reports/series/sre-employed-vs-open-2026.md - [Support Engineer Peer Pack: Twilio 252 vs Datadog 176 | Metix AI](https://metix.ai/reports/series/support-eng-peer-pack-2026): As of 2026-09-28 PT, Twilio current Support Engineer is 252/564 (44.7% of the pack) on the Twilio exclusive homepage record (www.twilio.com). - Also citeable: As of 2026-09-28 PT, Datadog current Support Engineer is 176/564 (31.2% of the pack) on the Datadog exclusive homepage record (www.datadoghq.com). - Also citeable: As of 2026-09-28 PT, Cloudflare current Support Engineer is 96/564 (17.0% of the pack) on the Cloudflare exclusive homepage record (www.cloudflare.com). - Also citeable: As of 2026-09-28 PT, MongoDB current Support Engineer is 25/564 (4.4% of the pack) on the MongoDB exclusive homepage record (www.mongodb.com). - Also citeable: As of 2026-09-28 PT, Stripe current Support Engineer is 15/564 (2.7% of the pack) on the Stripe exclusive homepage record (www.stripe.com). - Also citeable: Support engineering peer pack total 564 (252 + 176 + 96 + 25 + 15); top two Twilio+Datadog hold 428/564 (75.9%). - Also citeable: Anchor-to-tail gap: Twilio 252 vs Stripe 15, about 16.80×; as of 2026-09-28 PT. - Markdown: https://metix.ai/reports/series/support-eng-peer-pack-2026.md - [Anthropic seat shelf | Metix AI](https://metix.ai/reports/series/anthropic-company-teardown-2026): As of 2026-09-25 PT, Anthropic has 3527 people current. - Also citeable: As of 2026-09-25 PT, Anthropic Member of Technical Staff is 1085, with senior-titled 0/1085. - Also citeable: As of 2026-09-25 PT, Anthropic Software Engineer is 18, with senior-titled 2/18. - Also citeable: As of 2026-09-25 PT, Anthropic Product Manager is 18, with senior-titled 2/18. - Also citeable: As of 2026-09-25 PT, Anthropic Research Scientist is 13, with senior-titled 2/13. - Also citeable: As of 2026-09-25 PT, Anthropic Research Engineer is 12, with senior-titled 0/12. - Also citeable: Named seats total 1146/3527 (32.5%); other titles 2381/3527 (67.5%). - Also citeable: Member of Technical Staff is 30.8% of the bench (1085/3527); second is Software Engineer at 18. - Markdown: https://metix.ai/reports/series/anthropic-company-teardown-2026.md - [Data Analyst Peer Pack: Amazon 2910 vs Google 1413 | Metix AI](https://metix.ai/reports/series/data-analyst-peer-pack-2026): As of 2026-09-25 PT, Amazon current Data Analyst is 2910/5338 (54.5% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-09-25 PT, Google current Data Analyst is 1413/5338 (26.5% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-09-25 PT, Meta current Data Analyst is 476/5338 (8.9% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-25 PT, Uber current Data Analyst is 458/5338 (8.6% of the pack) on the Uber exclusive homepage record (www.uber.com). - Also citeable: As of 2026-09-25 PT, Airbnb current Data Analyst is 81/5338 (1.5% of the pack) on the Airbnb exclusive homepage record (www.airbnb.com). - Also citeable: Data analyst peer pack total 5338 (2910 + 1413 + 476 + 458 + 81); top two Amazon+Google hold 4323/5338 (81.0%). - Also citeable: Anchor-to-tail gap: Amazon 2910 vs Airbnb 81, about 35.93×; as of 2026-09-25 PT. - Markdown: https://metix.ai/reports/series/data-analyst-peer-pack-2026.md - [Google to OpenAI talent flow | Metix AI](https://metix.ai/reports/series/google-to-frontier-labs-talent-flow-2026): As of 2026-09-25 PT, 1156 people are current at OpenAI and previously at Google; 1156 = 16.0% of OpenAI's 7242. - Also citeable: As of 2026-09-25 PT, 550 people are current at Anthropic and previously at Google; 550 = 15.6% of Anthropic's 3527. - Also citeable: As of 2026-09-25 PT, 150 people are current at xAI and previously at Google; 150 = 6.3% of xAI's 2371. - Also citeable: The measured Google wires on this page sum to 1856 people across 3 destinations. - Also citeable: OpenAI leads both absolute headcount and penetration (1156 people, 16.0%). - Also citeable: Cut: current at destination and previously at Google; wires sum 1856 across 3 destinations; as of 2026-09-25 PT. - Markdown: https://metix.ai/reports/series/google-to-frontier-labs-talent-flow-2026.md - [Machine Learning Engineer employed per open role | Metix AI](https://metix.ai/reports/series/ml-eng-employed-vs-open-2026): As of 2026-09-25 PT, Meta is 484.8× (1939/4 employed/open). - Also citeable: As of 2026-09-25 PT, NVIDIA is 40.2× (201/5 employed/open). - Also citeable: As of 2026-09-25 PT, OpenAI is 7.0× (28/4 employed/open). - Also citeable: As of 2026-09-25 PT, Google is 545/0 employed/open (opens not captured). - Also citeable: Deepest bench is Meta at 1939 employed Machine Learning Engineers; busiest open board is NVIDIA at 5 roles (1939/5). - Also citeable: Meta leads both the multiple and the bench (484.8×, 1939/4). - Markdown: https://metix.ai/reports/series/ml-eng-employed-vs-open-2026.md - [Technical Recruiter Peer Pack: Amazon 1132 vs Google 567 | Metix AI](https://metix.ai/reports/series/tech-recruiter-peer-pack-2026): As of 2026-09-25 PT, Amazon current Technical Recruiter is 1132/2650 (42.7% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-09-25 PT, Google current Technical Recruiter is 567/2650 (21.4% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-09-25 PT, Meta current Technical Recruiter is 394/2650 (14.9% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-25 PT, Microsoft current Technical Recruiter is 342/2650 (12.9% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: As of 2026-09-25 PT, Apple current Technical Recruiter is 215/2650 (8.1% of the pack) on the Apple exclusive homepage record (www.apple.com). - Also citeable: Technical recruiter peer pack total 2650 (1132 + 567 + 394 + 342 + 215); top two Amazon+Google hold 1699/2650 (64.1%). - Also citeable: Anchor-to-tail gap: Amazon 1132 vs Apple 215, about 5.27×; as of 2026-09-25 PT. - Markdown: https://metix.ai/reports/series/tech-recruiter-peer-pack-2026.md - [Backend Engineer Peer Pack: LinkedIn 88 vs Shopify 49 | Metix AI](https://metix.ai/reports/series/be-eng-peer-pack-2026): As of 2026-09-24 PT, LinkedIn current Backend Engineer is 88/205 (42.9% of the pack) on the LinkedIn exclusive homepage record (www.linkedin.com). - Also citeable: As of 2026-09-24 PT, Shopify current Backend Engineer is 49/205 (23.9% of the pack) on the Shopify exclusive homepage record (www.shopify.com). - Also citeable: As of 2026-09-24 PT, Uber current Backend Engineer is 29/205 (14.1% of the pack) on the Uber exclusive homepage record (www.uber.com). - Also citeable: As of 2026-09-24 PT, Meta current Backend Engineer is 21/205 (10.2% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-24 PT, Stripe current Backend Engineer is 18/205 (8.8% of the pack) on the Stripe exclusive homepage record (www.stripe.com). - Also citeable: Backend engineering peer pack total 205 (88 + 49 + 29 + 21 + 18); top two LinkedIn+Shopify hold 137/205 (66.8%). - Also citeable: Anchor-to-tail gap: LinkedIn 88 vs Stripe 18, about 4.89×; as of 2026-09-24 PT. - Markdown: https://metix.ai/reports/series/be-eng-peer-pack-2026.md - [Customer Engineer Peer Pack: Google 1884 vs Microsoft 622 | Metix AI](https://metix.ai/reports/series/ce-peer-pack-2026): As of 2026-09-24 PT, Google current Customer Engineer is 1884/2672 (70.5% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-09-24 PT, Microsoft current Customer Engineer is 622/2672 (23.3% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: As of 2026-09-24 PT, IBM current Customer Engineer is 105/2672 (3.9% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-09-24 PT, Qualcomm current Customer Engineer is 41/2672 (1.5% of the pack) on the Qualcomm exclusive homepage record (www.qualcomm.com). - Also citeable: As of 2026-09-24 PT, AT&T current Customer Engineer is 20/2672 (0.7% of the pack) on the AT&T exclusive homepage record (www.att.com). - Also citeable: Customer engineering peer pack total 2672 (1884 + 622 + 105 + 41 + 20); top two Google+Microsoft hold 2506/2672 (93.8%). - Also citeable: Anchor-to-tail gap: Google 1884 vs AT&T 20, about 94.20×; as of 2026-09-24 PT. - Markdown: https://metix.ai/reports/series/ce-peer-pack-2026.md - [Cloud Engineer Peer Pack: Amazon 1441 vs Microsoft 467 | Metix AI](https://metix.ai/reports/series/cloud-eng-peer-pack-2026): As of 2026-09-24 PT, Amazon current Cloud Engineer is 1441/2780 (51.8% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-09-24 PT, Microsoft current Cloud Engineer is 467/2780 (16.8% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: As of 2026-09-24 PT, IBM current Cloud Engineer is 418/2780 (15.0% of the pack) on the IBM exclusive homepage record (www.ibm.com). - Also citeable: As of 2026-09-24 PT, Google current Cloud Engineer is 401/2780 (14.4% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-09-24 PT, DigitalOcean current Cloud Engineer is 53/2780 (1.9% of the pack) on the DigitalOcean exclusive homepage record (www.digitalocean.com). - Also citeable: Cloud engineering peer pack total 2780 (1441 + 467 + 418 + 401 + 53); top two Amazon+Microsoft hold 1908/2780 (68.6%). - Also citeable: Anchor-to-tail gap: Amazon 1441 vs DigitalOcean 53, about 27.19×; as of 2026-09-24 PT. - Markdown: https://metix.ai/reports/series/cloud-eng-peer-pack-2026.md - [DevOps Engineer Peer Pack: Amazon 560 vs Microsoft 296 | Metix AI](https://metix.ai/reports/series/devops-eng-peer-pack-2026): As of 2026-09-24 PT, Amazon current DevOps Engineer is 560/1036 (54.1% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-09-24 PT, Microsoft current DevOps Engineer is 296/1036 (28.6% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: As of 2026-09-24 PT, Google current DevOps Engineer is 123/1036 (11.9% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-09-24 PT, GitHub current DevOps Engineer is 36/1036 (3.5% of the pack) on the GitHub exclusive homepage record (www.github.com). - Also citeable: As of 2026-09-24 PT, Atlassian current DevOps Engineer is 21/1036 (2.0% of the pack) on the Atlassian exclusive homepage record (www.atlassian.com). - Also citeable: Devops engineering peer pack total 1036 (560 + 296 + 123 + 36 + 21); top two Amazon+Microsoft hold 856/1036 (82.6%). - Also citeable: Anchor-to-tail gap: Amazon 560 vs Atlassian 21, about 26.67×; as of 2026-09-24 PT. - Markdown: https://metix.ai/reports/series/devops-eng-peer-pack-2026.md - [Frontend Engineer Peer Pack: Google 384 vs Meta 204 | Metix AI](https://metix.ai/reports/series/fe-eng-peer-pack-2026): As of 2026-09-24 PT, Google current Frontend Engineer is 384/794 (48.4% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-09-24 PT, Meta current Frontend Engineer is 204/794 (25.7% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-24 PT, Shopify current Frontend Engineer is 152/794 (19.1% of the pack) on the Shopify exclusive homepage record (www.shopify.com). - Also citeable: As of 2026-09-24 PT, Airbnb current Frontend Engineer is 29/794 (3.7% of the pack) on the Airbnb exclusive homepage record (www.airbnb.com). - Also citeable: As of 2026-09-24 PT, Netflix current Frontend Engineer is 25/794 (3.1% of the pack) on the Netflix exclusive homepage record (www.netflix.com). - Also citeable: Frontend engineering peer pack total 794 (384 + 204 + 152 + 29 + 25); top two Google+Meta hold 588/794 (74.1%). - Also citeable: Anchor-to-tail gap: Google 384 vs Netflix 25, about 15.36×; as of 2026-09-24 PT. - Markdown: https://metix.ai/reports/series/fe-eng-peer-pack-2026.md - [Android Engineer Peer Pack: Google 345 vs Meta 61 | Metix AI](https://metix.ai/reports/series/android-eng-peer-pack-2026): As of 2026-09-23 PT, Google current Android Engineer is 345/509 (67.8% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-09-23 PT, Meta current Android Engineer is 61/509 (12.0% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-23 PT, Airbnb current Android Engineer is 51/509 (10.0% of the pack) on the Airbnb exclusive homepage record (www.airbnb.com). - Also citeable: As of 2026-09-23 PT, Uber current Android Engineer is 29/509 (5.7% of the pack) on the Uber exclusive homepage record (www.uber.com). - Also citeable: As of 2026-09-23 PT, Lyft current Android Engineer is 23/509 (4.5% of the pack) on the Lyft exclusive homepage record (www.lyft.com). - Also citeable: Android engineering peer pack total 509 (345 + 61 + 51 + 29 + 23); top two Google+Meta hold 406/509 (79.8%). - Also citeable: Anchor-to-tail gap: Google 345 vs Lyft 23, about 15.00×; as of 2026-09-23 PT. - Markdown: https://metix.ai/reports/series/android-eng-peer-pack-2026.md - [Forward Deployed Engineer Peer Pack: Palantir 576 vs Meta 96 | Metix AI](https://metix.ai/reports/series/fde-peer-pack-2026): As of 2026-09-23 PT, Palantir current Forward Deployed Engineer is 576/749 (76.9% of the pack) on the Palantir exclusive homepage record (www.palantir.com). - Also citeable: As of 2026-09-23 PT, Meta current Forward Deployed Engineer is 96/749 (12.8% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-23 PT, OpenAI current Forward Deployed Engineer is 34/749 (4.5% of the pack) on the OpenAI exclusive homepage record (www.openai.com). - Also citeable: As of 2026-09-23 PT, Amazon current Forward Deployed Engineer is 23/749 (3.1% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-09-23 PT, Scale AI current Forward Deployed Engineer is 20/749 (2.7% of the pack) on the Scale AI exclusive homepage record (www.scale.com). - Also citeable: Forward deployed engineering peer pack total 749 (576 + 96 + 34 + 23 + 20); top two Palantir+Meta hold 672/749 (89.7%). - Also citeable: Anchor-to-tail gap: Palantir 576 vs Scale AI 20, about 28.80×; as of 2026-09-23 PT. - Markdown: https://metix.ai/reports/series/fde-peer-pack-2026.md - [Firmware Engineer Peer Pack: Apple 820 vs Qualcomm 521 | Metix AI](https://metix.ai/reports/series/fw-eng-peer-pack-2026): As of 2026-09-23 PT, Apple current Firmware Engineer is 820/2121 (38.7% of the pack) on the Apple exclusive homepage record (www.apple.com). - Also citeable: As of 2026-09-23 PT, Qualcomm current Firmware Engineer is 521/2121 (24.6% of the pack) on the Qualcomm exclusive homepage record (www.qualcomm.com). - Also citeable: As of 2026-09-23 PT, AMD current Firmware Engineer is 388/2121 (18.3% of the pack) on the AMD exclusive homepage record (www.amd.com). - Also citeable: As of 2026-09-23 PT, NVIDIA current Firmware Engineer is 296/2121 (14.0% of the pack) on the NVIDIA exclusive homepage record (www.nvidia.com). - Also citeable: As of 2026-09-23 PT, Tesla current Firmware Engineer is 96/2121 (4.5% of the pack) on the Tesla exclusive homepage record (www.tesla.com). - Also citeable: Firmware engineering peer pack total 2121 (820 + 521 + 388 + 296 + 96); top two Apple+Qualcomm hold 1341/2121 (63.2%). - Also citeable: Anchor-to-tail gap: Apple 820 vs Tesla 96, about 8.54×; as of 2026-09-23 PT. - Markdown: https://metix.ai/reports/series/fw-eng-peer-pack-2026.md - [Hardware Engineer Peer Pack: Apple 828 vs Qualcomm 432 | Metix AI](https://metix.ai/reports/series/hw-eng-peer-pack-2026): As of 2026-09-23 PT, Apple current Hardware Engineer is 828/1676 (49.4% of the pack) on the Apple exclusive homepage record (www.apple.com). - Also citeable: As of 2026-09-23 PT, Qualcomm current Hardware Engineer is 432/1676 (25.8% of the pack) on the Qualcomm exclusive homepage record (www.qualcomm.com). - Also citeable: As of 2026-09-23 PT, NVIDIA current Hardware Engineer is 296/1676 (17.7% of the pack) on the NVIDIA exclusive homepage record (www.nvidia.com). - Also citeable: As of 2026-09-23 PT, AMD current Hardware Engineer is 65/1676 (3.9% of the pack) on the AMD exclusive homepage record (www.amd.com). - Also citeable: As of 2026-09-23 PT, Tesla current Hardware Engineer is 55/1676 (3.3% of the pack) on the Tesla exclusive homepage record (www.tesla.com). - Also citeable: Hardware engineering peer pack total 1676 (828 + 432 + 296 + 65 + 55); top two Apple+Qualcomm hold 1260/1676 (75.2%). - Also citeable: Anchor-to-tail gap: Apple 828 vs Tesla 55, about 15.05×; as of 2026-09-23 PT. - Markdown: https://metix.ai/reports/series/hw-eng-peer-pack-2026.md - [UX Researcher Peer Pack: Google 1121 vs Meta 634 | Metix AI](https://metix.ai/reports/series/uxr-peer-pack-2026): As of 2026-09-23 PT, Google current UX Researcher is 1121/2311 (48.5% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-09-23 PT, Meta current UX Researcher is 634/2311 (27.4% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-23 PT, Microsoft current UX Researcher is 304/2311 (13.2% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: As of 2026-09-23 PT, Amazon current UX Researcher is 222/2311 (9.6% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-09-23 PT, Uber current UX Researcher is 30/2311 (1.3% of the pack) on the Uber exclusive homepage record (www.uber.com). - Also citeable: Ux research peer pack total 2311 (1121 + 634 + 304 + 222 + 30); top two Google+Meta hold 1755/2311 (75.9%). - Also citeable: Anchor-to-tail gap: Google 1121 vs Uber 30, about 37.37×; as of 2026-09-23 PT. - Markdown: https://metix.ai/reports/series/uxr-peer-pack-2026.md - [Data Engineer Peer Pack: Netflix 173 vs Uber 89 | Metix AI](https://metix.ai/reports/series/data-eng-peer-pack-2026): As of 2026-09-22 PT, Netflix current Data Engineer is 173/466 (37.1% of the pack) on the Netflix exclusive homepage record (www.netflix.com). - Also citeable: As of 2026-09-22 PT, Uber current Data Engineer is 89/466 (19.1% of the pack) on the Uber exclusive homepage record (www.uber.com). - Also citeable: As of 2026-09-22 PT, Databricks current Data Engineer is 85/466 (18.2% of the pack) on the Databricks exclusive homepage record (www.databricks.com). - Also citeable: As of 2026-09-22 PT, Airbnb current Data Engineer is 79/466 (17.0% of the pack) on the Airbnb exclusive homepage record (www.airbnb.com). - Also citeable: As of 2026-09-22 PT, Snowflake current Data Engineer is 40/466 (8.6% of the pack) on the Snowflake exclusive homepage record (www.snowflake.com). - Also citeable: Data engineering peer pack total 466 (173 + 89 + 85 + 79 + 40); top two Netflix+Uber hold 262/466 (56.2%). - Also citeable: Anchor-to-tail gap: Netflix 173 vs Snowflake 40, about 4.33×; as of 2026-09-22 PT. - Markdown: https://metix.ai/reports/series/data-eng-peer-pack-2026.md - [iOS Engineer Peer Pack: Apple 367 vs Meta 83 | Metix AI](https://metix.ai/reports/series/ios-eng-peer-pack-2026): As of 2026-09-22 PT, Apple current iOS Engineer is 367/541 (67.8% of the pack) on the Apple exclusive homepage record (www.apple.com). - Also citeable: As of 2026-09-22 PT, Meta current iOS Engineer is 83/541 (15.3% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-22 PT, Uber current iOS Engineer is 41/541 (7.6% of the pack) on the Uber exclusive homepage record (www.uber.com). - Also citeable: As of 2026-09-22 PT, Lyft current iOS Engineer is 26/541 (4.8% of the pack) on the Lyft exclusive homepage record (www.lyft.com). - Also citeable: As of 2026-09-22 PT, Airbnb current iOS Engineer is 24/541 (4.4% of the pack) on the Airbnb exclusive homepage record (www.airbnb.com). - Also citeable: Ios engineering peer pack total 541 (367 + 83 + 41 + 26 + 24); top two Apple+Meta hold 450/541 (83.2%). - Also citeable: Anchor-to-tail gap: Apple 367 vs Airbnb 24, about 15.29×; as of 2026-09-22 PT. - Markdown: https://metix.ai/reports/series/ios-eng-peer-pack-2026.md - [Product Manager Peer Pack: Google 4099 vs Meta 2657 | Metix AI](https://metix.ai/reports/series/product-mgr-peer-pack-2026): As of 2026-09-22 PT, Google current Product Manager is 4099/7606 (53.9% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-09-22 PT, Meta current Product Manager is 2657/7606 (34.9% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-22 PT, Uber current Product Manager is 537/7606 (7.1% of the pack) on the Uber exclusive homepage record (www.uber.com). - Also citeable: As of 2026-09-22 PT, Stripe current Product Manager is 199/7606 (2.6% of the pack) on the Stripe exclusive homepage record (www.stripe.com). - Also citeable: As of 2026-09-22 PT, Airbnb current Product Manager is 114/7606 (1.5% of the pack) on the Airbnb exclusive homepage record (www.airbnb.com). - Also citeable: Product management peer pack total 7606 (4099 + 2657 + 537 + 199 + 114); top two Google+Meta hold 6756/7606 (88.8%). - Also citeable: Anchor-to-tail gap: Google 4099 vs Airbnb 114, about 35.96×; as of 2026-09-22 PT. - Markdown: https://metix.ai/reports/series/product-mgr-peer-pack-2026.md - [Sales Engineer Peer Pack: Snowflake 328 vs Cisco 114 | Metix AI](https://metix.ai/reports/series/sales-eng-peer-pack-2026): As of 2026-09-22 PT, Snowflake current Sales Engineer is 328/614 (53.4% of the pack) on the Snowflake exclusive homepage record (www.snowflake.com). - Also citeable: As of 2026-09-22 PT, Cisco current Sales Engineer is 114/614 (18.6% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: As of 2026-09-22 PT, Oracle current Sales Engineer is 93/614 (15.1% of the pack) on the Oracle exclusive homepage record (www.oracle.com). - Also citeable: As of 2026-09-22 PT, Salesforce current Sales Engineer is 60/614 (9.8% of the pack) on the Salesforce exclusive homepage record (www.salesforce.com). - Also citeable: As of 2026-09-22 PT, Okta current Sales Engineer is 19/614 (3.1% of the pack) on the Okta exclusive homepage record (www.okta.com). - Also citeable: Sales engineering peer pack total 614 (328 + 114 + 93 + 60 + 19); top two Snowflake+Cisco hold 442/614 (72.0%). - Also citeable: Anchor-to-tail gap: Snowflake 328 vs Okta 19, about 17.26×; as of 2026-09-22 PT. - Markdown: https://metix.ai/reports/series/sales-eng-peer-pack-2026.md - [Technical Program Manager Peer Pack: Amazon 5100 vs Google 3831 | Metix AI](https://metix.ai/reports/series/tpm-peer-pack-2026): As of 2026-09-22 PT, Amazon current Technical Program Manager is 5100/12861 (39.7% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-09-22 PT, Google current Technical Program Manager is 3831/12861 (29.8% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-09-22 PT, Microsoft current Technical Program Manager is 2574/12861 (20.0% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: As of 2026-09-22 PT, Meta current Technical Program Manager is 1193/12861 (9.3% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-22 PT, Uber current Technical Program Manager is 163/12861 (1.3% of the pack) on the Uber exclusive homepage record (www.uber.com). - Also citeable: Technical program management peer pack total 12861 (5100 + 3831 + 2574 + 1193 + 163); top two Amazon+Google hold 8931/12861 (69.4%). - Also citeable: Anchor-to-tail gap: Amazon 5100 vs Uber 163, about 31.29×; as of 2026-09-22 PT. - Markdown: https://metix.ai/reports/series/tpm-peer-pack-2026.md - [Applied Scientist Peer Pack: Amazon 4413 vs Microsoft 1624 | Metix AI](https://metix.ai/reports/series/applied-scientist-peer-pack-2026): As of 2026-09-21 PT, Amazon current Applied Scientist is 4413/6243 (70.7% of the pack) on the Amazon exclusive homepage record (www.amazon.com). - Also citeable: As of 2026-09-21 PT, Microsoft current Applied Scientist is 1624/6243 (26.0% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: As of 2026-09-21 PT, Uber current Applied Scientist is 174/6243 (2.8% of the pack) on the Uber exclusive homepage record (www.uber.com). - Also citeable: As of 2026-09-21 PT, Meta current Applied Scientist is 20/6243 (0.3% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-21 PT, LinkedIn current Applied Scientist is 12/6243 (0.2% of the pack) on the LinkedIn exclusive homepage record (www.linkedin.com). - Also citeable: Applied scientist peer pack total 6243 (4413 + 1624 + 174 + 20 + 12); top two Amazon+Microsoft hold 6037/6243 (96.7%). - Also citeable: Anchor-to-tail gap: Amazon 4413 vs LinkedIn 12, about 367.75×; as of 2026-09-21 PT. - Markdown: https://metix.ai/reports/series/applied-scientist-peer-pack-2026.md - [Data Scientist Peer Pack: Meta 2593 vs Uber 378 | Metix AI](https://metix.ai/reports/series/data-scientist-peer-pack-2026): As of 2026-09-21 PT, Meta current Data Scientist is 2593/3602 (72.0% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-21 PT, Uber current Data Scientist is 378/3602 (10.5% of the pack) on the Uber exclusive homepage record (www.uber.com). - Also citeable: As of 2026-09-21 PT, LinkedIn current Data Scientist is 336/3602 (9.3% of the pack) on the LinkedIn exclusive homepage record (www.linkedin.com). - Also citeable: As of 2026-09-21 PT, Airbnb current Data Scientist is 153/3602 (4.2% of the pack) on the Airbnb exclusive homepage record (www.airbnb.com). - Also citeable: As of 2026-09-21 PT, Pinterest current Data Scientist is 142/3602 (3.9% of the pack) on the Pinterest exclusive homepage record (www.pinterest.com). - Also citeable: Data science peer pack total 3602 (2593 + 378 + 336 + 153 + 142); top two Meta+Uber hold 2971/3602 (82.5%). - Also citeable: Anchor-to-tail gap: Meta 2593 vs Pinterest 142, about 18.26×; as of 2026-09-21 PT. - Markdown: https://metix.ai/reports/series/data-scientist-peer-pack-2026.md - [Product Designer Peer Pack: Shopify 206 vs Adobe 138 | Metix AI](https://metix.ai/reports/series/product-designer-peer-pack-2026): As of 2026-09-21 PT, Shopify current Product Designer is 206/634 (32.5% of the pack) on the Shopify exclusive homepage record (www.shopify.com). - Also citeable: As of 2026-09-21 PT, Adobe current Product Designer is 138/634 (21.8% of the pack) on the Adobe exclusive homepage record (www.adobe.com). - Also citeable: As of 2026-09-21 PT, Canva current Product Designer is 109/634 (17.2% of the pack) on the Canva exclusive homepage record (www.canva.com). - Also citeable: As of 2026-09-21 PT, Figma current Product Designer is 94/634 (14.8% of the pack) on the Figma exclusive homepage record (www.figma.com). - Also citeable: As of 2026-09-21 PT, Pinterest current Product Designer is 87/634 (13.7% of the pack) on the Pinterest exclusive homepage record (www.pinterest.com). - Also citeable: Product design peer pack total 634 (206 + 138 + 109 + 94 + 87); top two Shopify+Adobe hold 344/634 (54.3%). - Also citeable: Anchor-to-tail gap: Shopify 206 vs Pinterest 87, about 2.37×; as of 2026-09-21 PT. - Markdown: https://metix.ai/reports/series/product-designer-peer-pack-2026.md - [Research Scientist Peer Pack: Meta 3255 vs Google 790 | Metix AI](https://metix.ai/reports/series/research-scientist-peer-pack-2026): As of 2026-09-21 PT, Meta current Research Scientist is 3255/5159 (63.1% of the pack) on the Meta exclusive homepage record (www.meta.com). - Also citeable: As of 2026-09-21 PT, Google current Research Scientist is 790/5159 (15.3% of the pack) on the Google exclusive homepage record (www.google.com). - Also citeable: As of 2026-09-21 PT, NVIDIA current Research Scientist is 637/5159 (12.3% of the pack) on the NVIDIA exclusive homepage record (www.nvidia.com). - Also citeable: As of 2026-09-21 PT, Apple current Research Scientist is 262/5159 (5.1% of the pack) on the Apple exclusive homepage record (www.apple.com). - Also citeable: As of 2026-09-21 PT, Microsoft current Research Scientist is 215/5159 (4.2% of the pack) on the Microsoft exclusive homepage record (www.microsoft.com). - Also citeable: Research scientist peer pack total 5159 (3255 + 790 + 637 + 262 + 215); top two Meta+Google hold 4045/5159 (78.4%). - Also citeable: Anchor-to-tail gap: Meta 3255 vs Microsoft 215, about 15.14×; as of 2026-09-21 PT. - Markdown: https://metix.ai/reports/series/research-scientist-peer-pack-2026.md - [Solutions Engineer Peer Pack: Databricks 664 vs Cloudflare 327 | Metix AI](https://metix.ai/reports/series/solutions-eng-peer-pack-2026): As of 2026-09-21 PT, Databricks current Solutions Engineer is 664/1616 (41.1% of the pack) on the Databricks exclusive homepage record (www.databricks.com). - Also citeable: As of 2026-09-21 PT, Cloudflare current Solutions Engineer is 327/1616 (20.2% of the pack) on the Cloudflare exclusive homepage record (www.cloudflare.com). - Also citeable: As of 2026-09-21 PT, Snowflake current Solutions Engineer is 250/1616 (15.5% of the pack) on the Snowflake exclusive homepage record (www.snowflake.com). - Also citeable: As of 2026-09-21 PT, Okta current Solutions Engineer is 223/1616 (13.8% of the pack) on the Okta exclusive homepage record (www.okta.com). - Also citeable: As of 2026-09-21 PT, HashiCorp current Solutions Engineer is 152/1616 (9.4% of the pack) on the HashiCorp exclusive homepage record (www.hashicorp.com). - Also citeable: Solutions engineering peer pack total 1616 (664 + 327 + 250 + 223 + 152); top two Databricks+Cloudflare hold 991/1616 (61.3%). - Also citeable: Anchor-to-tail gap: Databricks 664 vs HashiCorp 152, about 4.37×; as of 2026-09-21 PT. - Markdown: https://metix.ai/reports/series/solutions-eng-peer-pack-2026.md - [Infra SRE Peer Pack: Elastic 56 vs MongoDB 43 | Metix AI](https://metix.ai/reports/series/infra-sre-peer-pack-2026): As of 2026-09-17 PT, Elastic current Site Reliability Engineer is 56/173 (32.4% of the pack) on the Elastic exclusive homepage record (www.elastic.co). - Also citeable: As of 2026-09-17 PT, MongoDB current Site Reliability Engineer is 43/173 (24.9% of the pack) on the MongoDB exclusive homepage record (www.mongodb.com). - Also citeable: As of 2026-09-17 PT, HashiCorp current Site Reliability Engineer is 36/173 (20.8% of the pack) on the HashiCorp exclusive homepage record (www.hashicorp.com). - Also citeable: As of 2026-09-17 PT, Fastly current Site Reliability Engineer is 20/173 (11.6% of the pack) on the Fastly exclusive homepage record (www.fastly.com). - Also citeable: As of 2026-09-17 PT, Datadog current Site Reliability Engineer is 18/173 (10.4% of the pack) on the Datadog exclusive homepage record (www.datadoghq.com). - Also citeable: Site reliability engineering peer pack total 173 (56 + 43 + 36 + 20 + 18); top two Elastic+MongoDB hold 99/173 (57.2%). - Also citeable: Anchor-to-tail gap: Elastic 56 vs Datadog 18, about 3.11×; as of 2026-09-17 PT. - Markdown: https://metix.ai/reports/series/infra-sre-peer-pack-2026.md - [Machine Learning Engineer Peer Pack: Scale AI 89 vs Hugging Face 62 | Metix AI](https://metix.ai/reports/series/ml-eng-peer-pack-2026): As of 2026-09-17 PT, Scale AI current Machine Learning Engineer is 89/236 (37.7% of the pack) on the Scale AI exclusive homepage record (www.scale.com). - Also citeable: As of 2026-09-17 PT, Hugging Face current Machine Learning Engineer is 62/236 (26.3% of the pack) on the Hugging Face exclusive homepage record (www.huggingface.co). - Also citeable: As of 2026-09-17 PT, Databricks current Machine Learning Engineer is 37/236 (15.7% of the pack) on the Databricks exclusive homepage record (www.databricks.com). - Also citeable: As of 2026-09-17 PT, OpenAI current Machine Learning Engineer is 28/236 (11.9% of the pack) on the OpenAI exclusive homepage record (www.openai.com). - Also citeable: As of 2026-09-17 PT, Cohere current Machine Learning Engineer is 20/236 (8.5% of the pack) on the Cohere exclusive homepage record (www.cohere.com). - Also citeable: Machine learning engineering peer pack total 236 (89 + 62 + 37 + 28 + 20); top two Scale AI+Hugging Face hold 151/236 (64.0%). - Also citeable: Anchor-to-tail gap: Scale AI 89 vs Cohere 20, about 4.45×; as of 2026-09-17 PT. - Markdown: https://metix.ai/reports/series/ml-eng-peer-pack-2026.md - [Network Engineer Peer Pack: Cisco 1896 vs Juniper 150 | Metix AI](https://metix.ai/reports/series/network-eng-peer-pack-2026): As of 2026-09-17 PT, Cisco current Network Engineer is 1896/2130 (89.0% of the pack) on the Cisco exclusive homepage record (www.cisco.com). - Also citeable: As of 2026-09-17 PT, Juniper current Network Engineer is 150/2130 (7.0% of the pack) on the Juniper exclusive homepage record (www.juniper.net). - Also citeable: As of 2026-09-17 PT, Akamai current Network Engineer is 47/2130 (2.2% of the pack) on the Akamai exclusive homepage record (www.akamai.com). - Also citeable: As of 2026-09-17 PT, Cloudflare current Network Engineer is 29/2130 (1.4% of the pack) on the Cloudflare exclusive homepage record (www.cloudflare.com). - Also citeable: As of 2026-09-17 PT, Fastly current Network Engineer is 8/2130 (0.4% of the pack) on the Fastly exclusive homepage record (www.fastly.com). - Also citeable: Network engineering peer pack total 2130 (1896 + 150 + 47 + 29 + 8); top two Cisco+Juniper hold 2046/2130 (96.1%). - Also citeable: Anchor-to-tail gap: Cisco 1896 vs Fastly 8, about 237.00×; as of 2026-09-17 PT. - Markdown: https://metix.ai/reports/series/network-eng-peer-pack-2026.md - [Security Engineer Peer Pack: Palo Alto Networks 193 vs CrowdStrike 100 | Metix AI](https://metix.ai/reports/series/sec-eng-peer-pack-2026): As of 2026-09-17 PT, Palo Alto Networks current Security Engineer is 193/450 (42.9% of the pack) on the Palo Alto Networks exclusive homepage record (www.paloaltonetworks.com). - Also citeable: As of 2026-09-17 PT, CrowdStrike current Security Engineer is 100/450 (22.2% of the pack) on the CrowdStrike exclusive homepage record (www.crowdstrike.com). - Also citeable: As of 2026-09-17 PT, Zscaler current Security Engineer is 71/450 (15.8% of the pack) on the Zscaler exclusive homepage record (www.zscaler.com). - Also citeable: As of 2026-09-17 PT, Okta current Security Engineer is 63/450 (14.0% of the pack) on the Okta exclusive homepage record (www.okta.com). - Also citeable: As of 2026-09-17 PT, SentinelOne current Security Engineer is 23/450 (5.1% of the pack) on the SentinelOne exclusive homepage record (www.sentinelone.com). - Also citeable: Security engineering peer pack total 450 (193 + 100 + 71 + 63 + 23); top two Palo Alto Networks+CrowdStrike hold 293/450 (65.1%). - Also citeable: Anchor-to-tail gap: Palo Alto Networks 193 vs SentinelOne 23, about 8.39×; as of 2026-09-17 PT. - Markdown: https://metix.ai/reports/series/sec-eng-peer-pack-2026.md - [Solutions Architect Peer Pack: Databricks 1505 vs Snowflake 322 | Metix AI](https://metix.ai/reports/series/solutions-arch-peer-pack-2026): As of 2026-09-17 PT, Databricks current Solutions Architect is 1505/2413 (62.4% of the pack) on the Databricks exclusive homepage record (www.databricks.com). - Also citeable: As of 2026-09-17 PT, Snowflake current Solutions Architect is 322/2413 (13.3% of the pack) on the Snowflake exclusive homepage record (www.snowflake.com). - Also citeable: As of 2026-09-17 PT, MongoDB current Solutions Architect is 305/2413 (12.6% of the pack) on the MongoDB exclusive homepage record (www.mongodb.com). - Also citeable: As of 2026-09-17 PT, Elastic current Solutions Architect is 227/2413 (9.4% of the pack) on the Elastic exclusive homepage record (www.elastic.co). - Also citeable: As of 2026-09-17 PT, Confluent current Solutions Architect is 54/2413 (2.2% of the pack) on the Confluent exclusive homepage record (www.confluent.io). - Also citeable: Solutions architecture peer pack total 2413 (1505 + 322 + 305 + 227 + 54); top two Databricks+Snowflake hold 1827/2413 (75.7%). - Also citeable: Anchor-to-tail gap: Databricks 1505 vs Confluent 54, about 27.87×; as of 2026-09-17 PT. - Markdown: https://metix.ai/reports/series/solutions-arch-peer-pack-2026.md - [Site Reliability Engineer Peer Pack: GitLab 47 vs CrowdStrike 26 | Metix AI](https://metix.ai/reports/series/sre-peer-pack-2026): As of 2026-09-08 PT, GitLab current Site Reliability Engineer is 47/97 (48.5% of the pack) on the GitLab exclusive homepage record (www.gitlab.com). - Also citeable: As of 2026-09-08 PT, CrowdStrike current Site Reliability Engineer is 26/97 (26.8% of the pack) on the CrowdStrike exclusive homepage record (www.crowdstrike.com). - Also citeable: As of 2026-09-08 PT, Sentry current Site Reliability Engineer is 8/97 (8.2% of the pack) on the Sentry exclusive homepage record (www.sentry.io). - Also citeable: As of 2026-09-08 PT, Supabase current Site Reliability Engineer is 8/97 (8.2% of the pack) on the Supabase exclusive homepage record (www.supabase.com). - Also citeable: As of 2026-09-08 PT, ClickHouse current Site Reliability Engineer is 8/97 (8.2% of the pack) on the ClickHouse exclusive homepage record (www.clickhouse.com). - Also citeable: Site reliability engineering peer pack total 97 (47 + 26 + 8 + 8 + 8); top two GitLab+CrowdStrike hold 73/97 (75.3%). - Also citeable: Anchor-to-tail gap: GitLab 47 vs ClickHouse 8, about 5.88×; as of 2026-09-08 PT. - Markdown: https://metix.ai/reports/series/sre-peer-pack-2026.md - [Goldman 67 vs JPMorgan 38 | Electronic Trading / Trading Technology | Metix AI](https://metix.ai/reports/series/jpmorgan-goldman-markets-2026): As of August 28, 2026, 1:34 a.m. PT, Goldman Sachs maps 67 current Electronic Trading / Trading Technology seats. - Also citeable: As of August 28, 2026, 1:34 a.m. PT, JPMorgan Chase maps 21 open Electronic Trading / Trading Technology jobs against Goldman Sachs 10. - Also citeable: As of August 28, 2026, 1:34 a.m. PT, headline sum, Goldman Sachs plus JPMorgan Chase only: 105 current / 31 open jobs. - Also citeable: As of August 28, 2026, 1:34 a.m. PT, Goldman Sachs current is 67/105 (63.8% of the bench). - Also citeable: As of August 28, 2026, 1:34 a.m. PT, JPMorgan Chase current is 38/105 (36.2% of the bench). - Also citeable: As of August 28, 2026, 1:34 a.m. PT, JPMorgan Chase open jobs are 21/31 (67.7% of mapped open jobs). - Also citeable: As of August 28, 2026, 1:34 a.m. PT, top two hold 105/105 (100.0% of the bench). - Markdown: https://metix.ai/reports/series/jpmorgan-goldman-markets-2026.md - [Airbnb 16 vs Booking 21 | Host Pricing / Marketplace | Metix AI](https://metix.ai/reports/series/airbnb-booking-marketplace-2026): As of August 27, 2026, 5:43 a.m. PT, Booking.com titles Marketplace on 21 current seats. - Also citeable: As of August 27, 2026, 5:43 a.m. PT, Airbnb maps 16 current Host Pricing / travel-payments seats against Booking.com Marketplace 21. - Also citeable: As of August 27, 2026, 5:43 a.m. PT, headline sum, Booking.com plus Airbnb only: 37 current / 9 open jobs. - Also citeable: As of August 27, 2026, 5:43 a.m. PT, Booking.com current is 21/37 (56.8% of the bench). - Also citeable: As of August 27, 2026, 5:43 a.m. PT, Airbnb current is 16/37 (43.2% of the bench). - Also citeable: As of August 27, 2026, 5:43 a.m. PT, top two hold 37/37 (100.0% of the bench). - Also citeable: As of August 27, 2026, 5:43 a.m. PT, mapped open jobs total 9; current/jobs on the bench is 37/9. - Markdown: https://metix.ai/reports/series/airbnb-booking-marketplace-2026.md - [Skyworks 80 vs Qorvo 92 | RF Front-End / RFIC | Metix AI](https://metix.ai/reports/series/skyworks-qorvo-rf-2026): As of August 27, 2026, 5:43 a.m. PT, Qorvo holds 92 current RF front-end / RFIC design seats. - Also citeable: As of August 27, 2026, 5:43 a.m. PT, Skyworks holds 80 current on the same RF cascade; jobs sit 9 and 9. - Also citeable: As of August 27, 2026, 5:43 a.m. PT, headline sum, Skyworks plus Qorvo only: 172 current / 18 open jobs. - Also citeable: As of August 27, 2026, 5:43 a.m. PT, Qorvo current is 92/172 (53.5% of the bench). - Also citeable: As of August 27, 2026, 5:43 a.m. PT, Skyworks current is 80/172 (46.5% of the bench). - Also citeable: As of August 27, 2026, 5:43 a.m. PT, top two hold 172/172 (100.0% of the bench). - Also citeable: As of August 27, 2026, 5:43 a.m. PT, mapped open jobs total 18; current/jobs on the bench is 172/18. - Markdown: https://metix.ai/reports/series/skyworks-qorvo-rf-2026.md - [TI 692 vs ADI 374 | Analog / Mixed-Signal | Metix AI](https://metix.ai/reports/series/ti-adi-analog-2026): As of August 27, 2026, 7:10 a.m. PT, Texas Instruments maps 692 current analog / mixed-signal design seats. - Also citeable: As of August 27, 2026, 7:10 a.m. PT, Analog Devices maps 83 open analog / mixed-signal design jobs against Texas Instruments 22. - Also citeable: As of August 27, 2026, 7:10 a.m. PT, headline sum, Texas Instruments plus Analog Devices only: 1,066 current / 105 open jobs. - Also citeable: As of August 27, 2026, 7:10 a.m. PT, Texas Instruments current is 692/1066 (64.9% of the bench). - Also citeable: As of August 27, 2026, 7:10 a.m. PT, Analog Devices current is 374/1066 (35.1% of the bench). - Also citeable: As of August 27, 2026, 7:10 a.m. PT, Analog Devices open jobs are 83/105 (79.0% of mapped open jobs). - Also citeable: As of August 27, 2026, 7:10 a.m. PT, top two hold 1066/1066 (100.0% of the bench). - Markdown: https://metix.ai/reports/series/ti-adi-analog-2026.md - [ASML Eindhoven 191 vs HQ Veldhoven 21 | Metix AI](https://metix.ai/reports/series/asml-kla-overlay-litho-process-control-2026): As of August 26, 2026, 6:44 a.m. PT, ASML maps 434 current overlay / metrology / litho process-control seats against KLA 42. - Also citeable: As of August 26, 2026, 6:44 a.m. PT, headline sum, ASML plus KLA only: 476 current / 16 open jobs. - Also citeable: As of August 26, 2026, 6:44 a.m. PT, 351 of ASML's 434 mapped current seats are in the Netherlands. - Also citeable: As of August 26, 2026, 6:44 a.m. PT, ASML current is 434/476 (91.2% of the bench). - Also citeable: As of August 26, 2026, 6:44 a.m. PT, KLA current is 42/476 (8.8% of the bench). - Also citeable: As of August 26, 2026, 6:44 a.m. PT, Netherlands share of ASML current is 351/434 (80.9% of that name). - Also citeable: As of August 26, 2026, 6:44 a.m. PT, top two hold 476/476 (100.0% of the bench). - Markdown: https://metix.ai/reports/series/asml-kla-overlay-litho-process-control-2026.md - [Waymo 48 / Zoox 9 Jobs | AV Perception | Metix AI](https://metix.ai/reports/series/av-perception-talent-2026): As of August 26, 2026, 2:00 a.m. PT, Waymo maps 48 current perception / VLM profiles. Zoox maps 9 open jobs in the same seat family. - Also citeable: Headline sum, Waymo plus Zoox only: 87 current / 36 jobs. - Also citeable: Zoox maps 39 current perception / VLM profiles against 9 open jobs. - Also citeable: As of August 26, 2026, 2:00 a.m. PT, Waymo current is 48/87 (55.2% of the bench). - Also citeable: As of August 26, 2026, 2:00 a.m. PT, Zoox current is 39/87 (44.8% of the bench). - Also citeable: As of August 26, 2026, 2:00 a.m. PT, Zoox open jobs are 9/36 (25.0% of mapped open jobs). - Also citeable: As of August 26, 2026, 2:00 a.m. PT, top two Waymo+Zoox hold 87/87 (100.0% of the bench). - Markdown: https://metix.ai/reports/series/av-perception-talent-2026.md - [Synopsys 43 HAV Seats vs Cadence 29 | Metix AI](https://metix.ai/reports/series/cadence-synopsys-emulation-hav-2026): As of August 26, 2026, 4:20 a.m. PT, Synopsys Inc maps 43 current hardware-assisted-verification / emulation seats versus 11 open jobs in that seat. - Also citeable: Cadence Design Systems maps 29 current seats and 4 open jobs. Headline sum, two names only: 72 current / 15 jobs. - Also citeable: 18 of 43 Synopsys Inc current seats are US. - Also citeable: As of August 26, 2026, 4:20 a.m. PT, Synopsys Inc current is 43/72 (59.7% of the bench). - Also citeable: As of August 26, 2026, 4:20 a.m. PT, Cadence Design Systems current is 29/72 (40.3% of the bench). - Also citeable: As of August 26, 2026, 4:20 a.m. PT, Synopsys Inc open jobs are 11/15 (73.3% of mapped open jobs). - Also citeable: As of August 26, 2026, 4:20 a.m. PT, US share of Synopsys Inc current is 18/43 (41.9% of that name). - Markdown: https://metix.ai/reports/series/cadence-synopsys-emulation-hav-2026.md - [CoreWeave: 93 of 102 US DC-Ops Seats | Metix AI](https://metix.ai/reports/series/coreweave-crusoe-dc-ops-2026): As of August 26, 2026, 3:59 a.m. PT, 93 of 102 CoreWeave mapped data-center operations seats are in the United States. - Also citeable: CoreWeave maps 102 current data-center operations profiles and 44 open jobs in the same seat. - Also citeable: Headline sum, CoreWeave plus Crusoe (crusoe.ai) only: 126 current / 57 jobs. - Also citeable: As of August 26, 2026, 3:59 a.m. PT, CoreWeave current is 102/126 (81.0% of the bench). - Also citeable: As of August 26, 2026, 3:59 a.m. PT, Crusoe current is 24/126 (19.0% of the bench). - Also citeable: As of August 26, 2026, 3:59 a.m. PT, US share of CoreWeave current is 93/102 (91.2% of that name). - Also citeable: As of August 26, 2026, 3:59 a.m. PT, top two hold 126/126 (100.0% of the bench). - Markdown: https://metix.ai/reports/series/coreweave-crusoe-dc-ops-2026.md - [Anduril 54 / Shield AI 38 Jobs | Defense Autonomy | Metix AI](https://metix.ai/reports/series/defense-ai-autonomy-talent-2026): As of August 26, 2026, 2:00 a.m. PT, Anduril Industries maps 54 current autonomy / mission-systems profiles. Shield AI maps 38 open jobs in the same seat family. - Also citeable: Headline sum, Anduril Industries plus Shield AI only: 95 current / 72 jobs. - Also citeable: 51 of 54 Anduril Industries current profiles are US. - Also citeable: As of August 26, 2026, 2:00 a.m. PT, Anduril Industries current is 54/95 (56.8% of the bench). - Also citeable: As of August 26, 2026, 2:00 a.m. PT, Shield AI current is 41/95 (43.2% of the bench). - Also citeable: As of August 26, 2026, 2:00 a.m. PT, US share of Anduril Industries current is 51/54 (94.4% of that name). - Also citeable: As of August 26, 2026, 2:00 a.m. PT, top two hold 95/95 (100.0% of the bench). - Markdown: https://metix.ai/reports/series/defense-ai-autonomy-talent-2026.md - [Archer 84 vs Joby 38 | eVTOL GNC | Metix AI](https://metix.ai/reports/series/joby-archer-evtol-gnc-2026): As of August 26, 2026, 6:08 a.m. PT, Archer maps 84 current eVTOL GNC / flight-controls seats against Joby Aviation 38. - Also citeable: As of August 26, 2026, 6:08 a.m. PT, headline sum, Archer plus Joby Aviation only: 122 current / 24 open jobs. - Also citeable: As of August 26, 2026, 6:08 a.m. PT, Archer's 84 mapped current seats split United States 39, Brazil 32, Germany 10. - Also citeable: As of August 26, 2026, 6:08 a.m. PT, Archer current is 84/122 (68.9% of the bench). - Also citeable: As of August 26, 2026, 6:08 a.m. PT, Joby Aviation current is 38/122 (31.1% of the bench). - Also citeable: As of August 26, 2026, 6:08 a.m. PT, Archer United States seats are 39/84 (46.4% of that name). - Also citeable: As of August 26, 2026, 6:08 a.m. PT, top two hold 122/122 (100.0% of the bench). - Markdown: https://metix.ai/reports/series/joby-archer-evtol-gnc-2026.md - [Applied 213 vs Lam 120 | Etch / Deposition | Metix AI](https://metix.ai/reports/series/lam-amat-etch-deposition-process-2026): As of August 26, 2026, 6:50 a.m. PT, Applied Materials maps 213 current etch / ALD / CVD process seats against Lam Research 120. - Also citeable: As of August 26, 2026, 6:50 a.m. PT, headline sum, Applied Materials plus Lam Research only: 333 current / 60 open jobs. - Also citeable: As of August 26, 2026, 6:50 a.m. PT, Austin 19 and Santa Clara 19 sit against Fremont 14 on the mapped city layer. - Also citeable: As of August 26, 2026, 6:50 a.m. PT, Applied Materials current is 213/333 (64.0% of the bench). - Also citeable: As of August 26, 2026, 6:50 a.m. PT, Lam Research current is 120/333 (36.0% of the bench). - Also citeable: As of August 26, 2026, 6:50 a.m. PT, top two hold 333/333 (100.0% of the bench). - Also citeable: As of August 26, 2026, 6:50 a.m. PT, Austin 19 and Santa Clara 19 sit against Fremont 14 on the mapped city layer (19/333 each for the two Texas/California nodes). - Markdown: https://metix.ai/reports/series/lam-amat-etch-deposition-process-2026.md - [Mongo 24 vs Elastic 31 | Query / Search Seats | Metix AI](https://metix.ai/reports/series/mongodb-elastic-query-search-2026): As of August 26, 2026, 6:27 a.m. PT, MongoDB maps 24 current query / search seats against Elastic 31. - Also citeable: As of August 26, 2026, 6:27 a.m. PT, headline sum, MongoDB plus Elastic only: 55 current / 22 open jobs. - Also citeable: As of August 26, 2026, 6:27 a.m. PT, MongoDB maps 16 query jobs against Elastic's 6 search jobs. - Also citeable: As of August 26, 2026, 6:27 a.m. PT, Elastic current is 31/55 (56.4% of the bench). - Also citeable: As of August 26, 2026, 6:27 a.m. PT, MongoDB current is 24/55 (43.6% of the bench). - Also citeable: As of August 26, 2026, 6:27 a.m. PT, MongoDB open jobs are 16/22 (72.7% of mapped open jobs). - Also citeable: As of August 26, 2026, 6:27 a.m. PT, top two hold 55/55 (100.0% of the bench). - Markdown: https://metix.ai/reports/series/mongodb-elastic-query-search-2026.md - [Blue Origin 318 GNC Jobs | Launch Flight Software | Metix AI](https://metix.ai/reports/series/spacex-rocketlab-blueorigin-launch-gnc-2026): As of August 26, 2026, 5:24 a.m. PT, Blue Origin maps 533 current GNC / flight-software / avionics seats versus SpaceX 401 and Rocket Lab 188. - Also citeable: Headline sum, SpaceX plus Rocket Lab plus Blue Origin only: 1,122 current / 385 open jobs. - Also citeable: Blue Origin maps 318 open jobs on that slice, all in the United States. - Also citeable: As of August 26, 2026, 5:24 a.m. PT, Blue Origin current is 533/1122 (47.5% of the bench). - Also citeable: As of August 26, 2026, 5:24 a.m. PT, SpaceX current is 401/1122 (35.7% of the bench). - Also citeable: As of August 26, 2026, 5:24 a.m. PT, Rocket Lab current is 188/1122 (16.8% of the bench). - Also citeable: As of August 26, 2026, 5:24 a.m. PT, Blue Origin open jobs are 318/385 (82.6% of mapped open jobs). - Markdown: https://metix.ai/reports/series/spacex-rocketlab-blueorigin-launch-gnc-2026.md - [Stripe Bengaluru 83 | Payments Fraud / Risk ML | Metix AI](https://metix.ai/reports/series/stripe-adyen-fraud-risk-2026): As of August 26, 2026, 5:38 a.m. PT, Stripe maps 258 current fraud / risk-ML / financial-crime seats against Adyen 20. - Also citeable: As of August 26, 2026, 5:38 a.m. PT, headline sum, Stripe plus Adyen only: 278 current / 28 open jobs. - Also citeable: As of August 26, 2026, 5:38 a.m. PT, 105 of Stripe's 258 mapped current seats are in India. - Also citeable: As of August 26, 2026, 5:38 a.m. PT, Stripe current is 258/278 (92.8% of the bench). - Also citeable: As of August 26, 2026, 5:38 a.m. PT, Adyen current is 20/278 (7.2% of the bench). - Also citeable: As of August 26, 2026, 5:38 a.m. PT, India share of Stripe current is 105/258 (40.7% of that name). - Also citeable: As of August 26, 2026, 5:38 a.m. PT, top two hold 278/278 (100.0% of the bench). - Markdown: https://metix.ai/reports/series/stripe-adyen-fraud-risk-2026.md - [EvenUp Legal 195 vs Lawyer 3 | Metix AI](https://metix.ai/reports/series/legal-ai-talent-2026): As of August 24, 2026, 7:00 p.m. PT, EvenUp role Legal is 195 versus lawyer title 3. - Also citeable: As of August 24, 2026, 7:00 p.m. PT, EvenUp role Legal is 195/198 versus lawyer title 3/198 on that name (98.5% Legal role share). - Also citeable: As of August 24, 2026, 7:00 p.m. PT, lawyer title is 3/198 of the EvenUp Legal-role plus lawyer-title wire (1.5% of that wire). - Also citeable: As of August 24, 2026, 7:00 p.m. PT, EvenUp Legal role holds 195/195 of the Legal-role count on that page (100% of the Legal-role wire). - Also citeable: As of August 24, 2026, 7:00 p.m. PT, the Legal-versus-lawyer contrast is 195/3 on EvenUp (about 65×). - Also citeable: As of August 24, 2026, 7:00 p.m. PT, EvenUp Legal-role share versus lawyer title is 195/3 on that name (about 65×). - Markdown: https://metix.ai/reports/series/legal-ai-talent-2026.md - [ElevenLabs Voice AI: 622 Current, 219 Jobs | Metix AI](https://metix.ai/reports/series/voice-speech-ai-talent-2026): As of August 24, 2026, 7:00 p.m. PT, ElevenLabs maps 622 current profiles and 219 open jobs. - Also citeable: Four-row sums on this bench: 764 current profiles / 243 open jobs. - Also citeable: Sesame AI maps 1 current profile; that 1 stays 1 against the 764-row bench. - Also citeable: As of August 24, 2026, 7:00 p.m. PT, ElevenLabs current is 622/764 (81.4% of the bench). - Also citeable: As of August 24, 2026, 7:00 p.m. PT, Cartesia current is 93/764 (12.2% of the bench). - Also citeable: As of August 24, 2026, 7:00 p.m. PT, Hume AI current is 48/764 (6.3% of the bench). - Also citeable: As of August 24, 2026, 7:00 p.m. PT, Sesame AI current is 1/764 (0.1% of the bench). - Markdown: https://metix.ai/reports/series/voice-speech-ai-talent-2026.md - [Palantir FDE: 1 Exact Job, 1 Employed Title, 69 Job Titles | Metix AI](https://metix.ai/reports/series/fde-employed-vs-jd-2026): As of August 23, 2026, 10:15 p.m. PT, Palantir maps 1 exact Forward Deployed Engineer job and 1 employed FDE-title profile. Source: Metix AI. - Also citeable: Palantir FDE-title open jobs are 69 — the open-job title union, not 69 exact Forward Deployed Engineer jobs. - Also citeable: The FDSE title phrase is 0 at Palantir, Salesforce, Anthropic, Stripe, and Tomoro. Palantir Technologies variants may be missing: any-title current profiles on the exact Palantir name were only 56. - Also citeable: As of August 23, 2026, 10:15 p.m. PT, Palantir exact Forward Deployed Engineer jobs are 1/69 of the FDE-title open-job union (1.4% of that union). - Also citeable: As of August 23, 2026, 10:15 p.m. PT, employed FDE-title profiles at Palantir are 1/1 on the exact FDE title wire (100% of that wire). - Also citeable: As of August 23, 2026, 10:15 p.m. PT, FDSE title phrase is 0/5 named employers on the checked set (0% of the set). - Also citeable: As of August 23, 2026, 10:15 p.m. PT, any-title current profiles on the exact Palantir name were 56/56 on that homepage record (100% of the exact-name wire). - Markdown: https://metix.ai/reports/series/fde-employed-vs-jd-2026.md - [Anyscale 489, Groq 1 Job | Inference Serving | Metix AI](https://metix.ai/reports/series/inference-serving-talent-2026): As of August 23, 2026, 10:15 p.m. PT, Anyscale maps 489 current profiles and Groq maps 1 open job. - Also citeable: Five-name sums 1,508 current / 280 jobs. - Also citeable: Name collision risk: Together AI + Groq + Anyscale still sum inside the 1,508 current bench. - Also citeable: As of August 23, 2026, 10:15 p.m. PT, Anyscale current is 489/1508 (32.4% of the bench). - Also citeable: As of August 23, 2026, 10:15 p.m. PT, Groq current is 393/1508 (26.1% of the bench). - Also citeable: As of August 23, 2026, 10:15 p.m. PT, the Together AI name current is 280/1508 (18.6% of the bench). - Also citeable: As of August 23, 2026, 10:15 p.m. PT, top two Anyscale+Groq hold 882/1508 (58.5% of the bench). - Markdown: https://metix.ai/reports/series/inference-serving-talent-2026.md ## Series guides - [Series methodology | Metix AI](https://metix.ai/reports/series/methodology): How Metix AI series reports count an exclusive homepage denominator, include Senior titles, and cite open jobs only when measured. - [Career families | Metix AI](https://metix.ai/reports/series/career-families): Data, SRE, and product family index for Metix AI series packs. Netflix Data Engineer 173 is not Meta Data Scientist 2593. ## Talent maps - [How Metix talent maps are built | Metix AI](https://metix.ai/reports/methodology): Metix AI talent maps are full-population reads of public professional profiles and job postings from an 860M+ pool. Visible samples are not official headcount; names are masked; flows are not complete net hires. - Markdown: https://metix.ai/reports/methodology.md - [AI infrastructure and chip talent map | Metix AI](https://metix.ai/reports/topics/ai-infra-chips): US AI-infra hiring (Data Center Engineer 2,615 postings a day; Construction proxy 19.6%) plus 56,861 US chip profiles and 101,975 overseas chip leads at 58 companies. - Markdown: https://metix.ai/reports/topics/ai-infra-chips.md - [Clinical AI and TechBio talent map | Metix AI](https://metix.ai/reports/topics/clinical-techbio): 6,415 US clinical-AI profiles (1,077 clinical x ML; 2,606 with a clinical background) and 6,420 TechBio profiles (4,374 computational / ML) at 35 target companies. - Markdown: https://metix.ai/reports/topics/clinical-techbio.md - [Embodied AI and humanoid talent map | Metix AI](https://metix.ai/reports/topics/embodied-robotics): 13 embodied-AI companies (1,930 profiles; 1,044 technical) and a game-engine to world-model corridor (11.7% engine pedigree, 72 of 618). - Markdown: https://metix.ai/reports/topics/embodied-robotics.md - [Fintech and quant-to-AI talent flow | Metix AI](https://metix.ai/reports/topics/fintech-ai): 25,860 current engineers at 30 fintech firms (16.9% joined last year; Ramp +51 net) and 367 visible quant-to-AI-lab moves from 25 quant firms (29,317 profiles). - Markdown: https://metix.ai/reports/topics/fintech-ai.md - [Frontier AI Labs talent structure | Metix AI](https://metix.ai/reports/topics/frontier-ai-labs): Talent structure across 13 frontier labs (19,057 profiles; 11,914 technical) and a 9,421-profile US benchmark of OpenAI, Anthropic and xAI. Visible samples, not a job-market survey. - Markdown: https://metix.ai/reports/topics/frontier-ai-labs.md - [Overseas job structure and ethnic-Chinese algorithm talent | Metix AI](https://metix.ai/reports/topics/overseas-chinese-talent): 6,167,276 active jobs outside China (US 54.0%) and 101,975 overseas chip leads. The frontier-lab map publishes 13 labs, 19,057 profiles, and an 11,914-person technical pool. - Markdown: https://metix.ai/reports/topics/overseas-chinese-talent.md - [How many accountability seats connect AI-infra capital to delivery? | Metix AI](https://metix.ai/reports/questions/ai-infra-accountability-seats): The capital map names 6 accountability seats that connect compute, power, data centers, financing, and long-term contracts. It does not turn those seats into a headcount. - Markdown: https://metix.ai/reports/questions/ai-infra-accountability-seats.md - [Which AI infrastructure role is scarcest? | Metix AI](https://metix.ai/reports/questions/ai-infra-construction-scarcity): The postings-to-talent proxy is 19.6% for Construction/Project, 13.3% for HVAC, 9.4% for Electrical/Power, and 8.4% for Data Center Engineer. A proxy is not an official vacancy rate. - Markdown: https://metix.ai/reports/questions/ai-infra-construction-scarcity.md - [How many core companies are on the AI-infra capital talent map? | Metix AI](https://metix.ai/reports/questions/ai-infra-core-company-map): The capital-and-talent map covers 14 core companies beside a $500B+ third-party capital target and 6 accountability seats. - Markdown: https://metix.ai/reports/questions/ai-infra-core-company-map.md - [How many US data-center engineer jobs post per day? | Metix AI](https://metix.ai/reports/questions/ai-infra-datacenter-engineer-postings): Data Center Engineer averaged 2,615 US postings a day in August 2026, about 5× the next role family. Electrical/Power was 515 a day and Construction/Project was 445. - Markdown: https://metix.ai/reports/questions/ai-infra-datacenter-engineer-postings.md - [How fast is electrical and power hiring growing versus data-center engineers? | Metix AI](https://metix.ai/reports/questions/ai-infra-electrical-power-growth): Electrical/Power hiring rose 97.9% and Data Center Engineer hiring rose 49.5%. Systems engineering rose 148.3%, but August volume was only 84 postings a day. - Markdown: https://metix.ai/reports/questions/ai-infra-electrical-power-growth.md - [Where do AI infrastructure hires come from? | Metix AI](https://metix.ai/reports/questions/ai-infra-internal-mobility): Johnson Controls is 14.6% of HVAC prior stops. Intel is 12.1% of hardware prior stops. Burns & McDonnell is 8.6% of power prior stops. US, seven role families, March to August 2026. - Markdown: https://metix.ai/reports/questions/ai-infra-internal-mobility.md - [How many people at AI video companies are builders? | Metix AI](https://metix.ai/reports/questions/ai-video-builder-share): Seven AI video companies list 1,687 people. The published builder count is 518. 518 is the R&D slice, not a new total. - Markdown: https://metix.ai/reports/questions/ai-video-builder-share.md - [What share of AI video builders joined in the last two years? | Metix AI](https://metix.ai/reports/questions/ai-video-joined-two-years): 70% of the AI video builder set joined within two years. Film and VFX backgrounds are under 1%. Builders are 518 of 1,687 listed people at 7 companies. - Markdown: https://metix.ai/reports/questions/ai-video-joined-two-years.md - [What is the PhD share of AI video builders? | Metix AI](https://metix.ai/reports/questions/ai-video-phd-share): The PhD share among AI video builders is 13.7%. The builder denominator on the sibling page is 518 of 1,687 listed people at 7 companies. - Markdown: https://metix.ai/reports/questions/ai-video-phd-share.md - [How commercial is Anthropic’s talent mix? | Metix AI](https://metix.ai/reports/questions/anthropic-gtm-share): GTM / Customer is 22.6% of Anthropic’s US role mix, against 12.7% at OpenAI and 5.6% at xAI, a 1.58× over-index. Enterprise SaaS is 35.3% of Anthropic’s prior-employer mix. - Markdown: https://metix.ai/reports/questions/anthropic-gtm-share.md - [What share of Anthropic staff are Member of Technical Staff? | Metix AI](https://metix.ai/reports/questions/anthropic-mts-share): Member of Technical Staff is 74% of Anthropic’s visible technical staff: 943 of 1,281, compared with 57% on the OpenAI map. - Markdown: https://metix.ai/reports/questions/anthropic-mts-share.md - [What share of Anthropic technical staff hold a PhD? | Metix AI](https://metix.ai/reports/questions/anthropic-phd-share): 15.5% of 1,281 current Anthropic technical staff hold a PhD. The figure is Anthropic’s own map, not an average with OpenAI’s 14.4%. - Markdown: https://metix.ai/reports/questions/anthropic-phd-share.md - [Where does Anthropic hire engineers from? | Metix AI](https://metix.ai/reports/questions/anthropic-talent-sources): 302 current Anthropic technical staff previously worked at Google (24%). DeepMind 51 plus OpenAI 35 is 86. Stripe is 94. - Markdown: https://metix.ai/reports/questions/anthropic-talent-sources.md - [How new is Anthropic’s engineering team? | Metix AI](https://metix.ai/reports/questions/anthropic-tenure): Anthropic’s visible technical staff has a median tenure of 13 months. 44% have been there under a year (568 people). Only 4% (46 people) have reached four years. - Markdown: https://metix.ai/reports/questions/anthropic-tenure.md - [How many US clinical-AI profiles are mapped? | Metix AI](https://metix.ai/reports/questions/clinical-ai-headcount): The clinical-AI map covers 22 companies and 6,415 US current profiles. Clinical-background and clinical-by-ML counts are sibling pages. - Markdown: https://metix.ai/reports/questions/clinical-ai-headcount.md - [How many people in the clinical-AI map have a clinical background? | Metix AI](https://metix.ai/reports/questions/clinical-background-share): 2,606 people in the US clinical-AI map have a clinical background. The map is 6,415 profiles at 22 companies, with 1,077 clinical-by-ML bilingual profiles. - Markdown: https://metix.ai/reports/questions/clinical-background-share.md - [How many clinical-by-ML bilingual people are mapped? | Metix AI](https://metix.ai/reports/questions/clinical-ml-bilingual-talent): The clinical-AI map counts 1,077 people who combine a clinical background with machine learning, inside a 22-company US set of 6,415 profiles. - Markdown: https://metix.ai/reports/questions/clinical-ml-bilingual-talent.md - [How many founder capabilities does the Discovery Loop map name? | Metix AI](https://metix.ai/reports/questions/discovery-loop-founder-capabilities): The Discovery Loop map names 4 founder capabilities, beside 594 lineage-covered people and 264 peer postings. - Markdown: https://metix.ai/reports/questions/discovery-loop-founder-capabilities.md - [How many lineage-covered people are in the Discovery Loop map? | Metix AI](https://metix.ai/reports/questions/discovery-loop-lineage-talent): The Discovery Loop map counts 594 lineage-covered people who can be checked, beside 264 peer postings and 4 founder capabilities. - Markdown: https://metix.ai/reports/questions/discovery-loop-lineage-talent.md - [How many peer postings are in the Discovery Loop map? | Metix AI](https://metix.ai/reports/questions/discovery-loop-peer-postings): The Discovery Loop map counts 264 peer-company postings beside 594 lineage-covered people and 4 founder capabilities. - Markdown: https://metix.ai/reports/questions/discovery-loop-peer-postings.md - [How many embodied-AI companies and profiles are mapped? | Metix AI](https://metix.ai/reports/questions/embodied-ai-headcount): The embodied-AI map covers 13 companies and 1,930 current profiles. The technical pool of 1,044 is the sibling page. - Markdown: https://metix.ai/reports/questions/embodied-ai-headcount.md - [How large is the embodied-AI technical pool? | Metix AI](https://metix.ai/reports/questions/embodied-ai-technical-pool): The embodied-AI technical pool is 1,044 people, inside 1,930 current profiles at 13 companies. - Markdown: https://metix.ai/reports/questions/embodied-ai-technical-pool.md - [How big is the hardware-by-AI hybrid bench in embodied AI? | Metix AI](https://metix.ai/reports/questions/embodied-hardware-ai-hybrids): The card describes a hardware-by-AI hybrid structure. The only people counts used here are the 1,044 technical pool and the 1,930 current profiles at 13 companies. - Markdown: https://metix.ai/reports/questions/embodied-hardware-ai-hybrids.md - [How many engineers are in the fintech momentum table? | Metix AI](https://metix.ai/reports/questions/fintech-engineer-headcount): The fintech map covers 30 companies and 25,860 current engineers. The 16.9% who joined last year is a separate page. - Markdown: https://metix.ai/reports/questions/fintech-engineer-headcount.md - [What share of fintech engineers joined in the last year? | Metix AI](https://metix.ai/reports/questions/fintech-joined-last-year): 16.9% of the 25,860 current engineers at 30 fintech companies joined in the last year. The share is not a second headcount. - Markdown: https://metix.ai/reports/questions/fintech-joined-last-year.md - [Which fintech company is the top net importer in the peer circle? | Metix AI](https://metix.ai/reports/questions/fintech-ramp-net-import): Ramp is number one for net import inside the fintech circle, at +51. The page does not invent a second-place count. The circle is 30 companies and 25,860 engineers. - Markdown: https://metix.ai/reports/questions/fintech-ramp-net-import.md - [How many people are in the 13-lab technical pool? | Metix AI](https://metix.ai/reports/questions/frontier-labs-headcount): 13 frontier labs have 19,057 current-employee profiles in the map, including an 11,914-person technical pool. - Markdown: https://metix.ai/reports/questions/frontier-labs-headcount.md - [What share of frontier-lab staff are on a research track? | Metix AI](https://metix.ai/reports/questions/frontier-labs-research-share): The research track is 41.5% across the 13-lab map. Visible research is 9.6% at OpenAI, 6.4% at Anthropic, 73.3% on Meta’s research line, and 50.2% at DeepMind. - Markdown: https://metix.ai/reports/questions/frontier-labs-research-share.md - [How many engine-side graphics specialists are mapped? | Metix AI](https://metix.ai/reports/questions/game-engine-graphics-talent): The engine side of the world-model corridor has 486 graphics specialists, inside a 4,725-person technical pool. World-model engine pedigree is 11.7%. - Markdown: https://metix.ai/reports/questions/game-engine-graphics-talent.md - [How large is the engine-side technical pool? | Metix AI](https://metix.ai/reports/questions/game-engine-technical-pool): The engine-side technical pool is 4,725 current technical profiles across four engine companies. Graphics specialists inside it are 486. World-model engine pedigree is 11.7% (72/618). - Markdown: https://metix.ai/reports/questions/game-engine-technical-pool.md - [How often is Intel the top feeder into chip companies? | Metix AI](https://metix.ai/reports/questions/intel-feeder-to-chip-startups): Intel is the number-one talent source for 9 of 14 companies on the chip map. The card states the ratio. This page does not convert it into a headcount. - Markdown: https://metix.ai/reports/questions/intel-feeder-to-chip-startups.md - [How fast is Jacobs hiring for data centers? | Metix AI](https://metix.ai/reports/questions/jacobs-datacenter-hiring-growth): Jacobs data-center hiring rose 295.0% from March 2026 to August 2026. The company’s other tracked work was −0.2% over the same window. - Markdown: https://metix.ai/reports/questions/jacobs-datacenter-hiring-growth.md - [What talent sits behind the $500B+ AI-infra capital target? | Metix AI](https://metix.ai/reports/questions/nvidia-500b-capital-talent): The capital map states a $500B+ long-term third-party capital target, a 14-company core map, and 6 accountability seats connecting compute, power, data centers, financing, and contracts. - Markdown: https://metix.ai/reports/questions/nvidia-500b-capital-talent.md - [What share of NVIDIA engineers does the chip map call golden-handcuffed? | Metix AI](https://metix.ai/reports/questions/nvidia-golden-handcuff-share): The chip-map card says 1/7 of NVIDIA’s engineers are golden-handcuffed. This page restates 1/7 and does not convert it into a new headcount. - Markdown: https://metix.ai/reports/questions/nvidia-golden-handcuff-share.md - [What is the engineering share at OpenAI vs Anthropic vs xAI? | Metix AI](https://metix.ai/reports/questions/openai-anthropic-xai-engineering-share): Engineering is 44.7% at OpenAI, 41.6% at Anthropic and 40.3% at xAI inside a 9,421-profile US sample (OpenAI 5,313, Anthropic 2,612, xAI 1,496). - Markdown: https://metix.ai/reports/questions/openai-anthropic-xai-engineering-share.md - [Where do OpenAI, Anthropic and xAI hire from? | Metix AI](https://metix.ai/reports/questions/openai-anthropic-xai-sources): OpenAI’s prior-employer mix is 51.7% Enterprise SaaS plus Big Tech. Anthropic’s Enterprise SaaS share is 35.3%. At xAI, previous X is the largest single prior stop at 5.1%. - Markdown: https://metix.ai/reports/questions/openai-anthropic-xai-sources.md - [What share of OpenAI staff are Member of Technical Staff? | Metix AI](https://metix.ai/reports/questions/openai-mts-share): 1,725 of 3,041 visible OpenAI technical staff (57%) are Member of Technical Staff. A common title, not seniority or official headcount. For recruiters and TA. - Markdown: https://metix.ai/reports/questions/openai-mts-share.md - [What share of OpenAI technical staff hold a PhD? | Metix AI](https://metix.ai/reports/questions/openai-phd-share): 14.4% of 3,041 current OpenAI technical staff hold a PhD. Median experience is 13 years, and 70% have 10 or more years. Visible sample, not official headcount. - Markdown: https://metix.ai/reports/questions/openai-phd-share.md - [Where does OpenAI hire engineers from? | Metix AI](https://metix.ai/reports/questions/openai-talent-sources): 702 current OpenAI technical staff previously worked at Google (23%), then Meta 573 (19%) and Microsoft 344 (11%), with Apple at 240 and Amazon at 230. - Markdown: https://metix.ai/reports/questions/openai-talent-sources.md - [How new is OpenAI’s engineering team? | Metix AI](https://metix.ai/reports/questions/openai-tenure): OpenAI’s visible technical staff has a median tenure of 17 months. 1,054 people (35%) have been there under 12 months, and 907 (30%) for 12 to 24 months. - Markdown: https://metix.ai/reports/questions/openai-tenure.md - [How many visible moves from OpenAI to Anthropic? | Metix AI](https://metix.ai/reports/questions/openai-to-anthropic-moves): 47 visible moves run from OpenAI to Anthropic, against 10 the other way, 4.7× the reverse direction. Visible profile moves are not a complete net-hire count. - Markdown: https://metix.ai/reports/questions/openai-to-anthropic-moves.md - [What share of OpenAI technical staff are in the US? | Metix AI](https://metix.ai/reports/questions/openai-us-share): 88% of OpenAI’s visible technical staff are in the United States. The figure is a location share inside the technical-staff sample, not official headcount. - Markdown: https://metix.ai/reports/questions/openai-us-share.md - [How many companies are on the overseas chip map? | Metix AI](https://metix.ai/reports/questions/overseas-chip-company-map): The overseas chip map covers 58 companies across design, manufacturing, equipment, EDA/IP, materials, and OSAT, with 101,975 leads in 10 countries. - Markdown: https://metix.ai/reports/questions/overseas-chip-company-map.md - [How many gated priority targets are on the overseas chip map? | Metix AI](https://metix.ai/reports/questions/overseas-chip-priority-targets): The overseas chip card adds 48 gated priority targets beside 101,975 leads at 58 companies. Names stay masked. 48 is not a new headcount. - Markdown: https://metix.ai/reports/questions/overseas-chip-priority-targets.md - [How many overseas chip talent leads are mapped? | Metix AI](https://metix.ai/reports/questions/overseas-chip-talent-leads): The overseas chip map lists 101,975 talent leads across 58 companies in 10 countries, spanning design, manufacturing, equipment, EDA, materials, and OSAT. - Markdown: https://metix.ai/reports/questions/overseas-chip-talent-leads.md - [Which functions dominate overseas hiring? | Metix AI](https://metix.ai/reports/questions/overseas-jobs-function-mix): Management is 12.8% of overseas posting tags, IT 11.3%, Sales 10.7%, and Manufacturing 10.0%. The four tags sum to 44.7% and are not additive job counts. - Markdown: https://metix.ai/reports/questions/overseas-jobs-function-mix.md - [Which industries dominate overseas hiring? | Metix AI](https://metix.ai/reports/questions/overseas-jobs-industry-mix): Manufacturing is 17.6% of overseas industry tags, Hospitals and Health Care 17.1%, and Professional Services 15.0%. The three tags are 49.8% and are not additive job counts. - Markdown: https://metix.ai/reports/questions/overseas-jobs-industry-mix.md - [Which countries hold the most overseas job postings? | Metix AI](https://metix.ai/reports/questions/overseas-jobs-top-countries): The top five countries hold 73.2% of active postings outside China: United States 54.0%, Germany 6.8%, France 4.7%, Brazil 4.0%, and the United Kingdom 3.7%. - Markdown: https://metix.ai/reports/questions/overseas-jobs-top-countries.md - [How many overseas jobs are in the US? | Metix AI](https://metix.ai/reports/questions/overseas-jobs-us-share): The United States holds 3,329,273 of 6,167,276 active job postings outside China on 2026-06-10, or 54.0%. This is an overseas job-structure cut, not a job-market forecast. - Markdown: https://metix.ai/reports/questions/overseas-jobs-us-share.md - [How large is the visible quant-to-AI-lab corridor? | Metix AI](https://metix.ai/reports/questions/quant-ai-corridor-size): The corridor is 367 people now at AI labs with quant experience, against 90 the other way, inside 29,317 profiles at 25 quant firms. Direction is quant into labs. - Markdown: https://metix.ai/reports/questions/quant-ai-corridor-size.md - [How many current profiles are at the 25 quant firms? | Metix AI](https://metix.ai/reports/questions/quant-ai-current-pool): The quant map’s current-profile pool is 29,317 people at 25 firms. The 367 quant-to-lab count is a flow on top of that pool, not the pool itself. - Markdown: https://metix.ai/reports/questions/quant-ai-current-pool.md - [How many visible moves run from quant firms to AI labs? | Metix AI](https://metix.ai/reports/questions/quant-to-ai-lab-flow): Among 29,317 current profiles at 25 quant firms, 367 visible moves run from quant experience into AI labs. The reverse count is not restated on this page. - Markdown: https://metix.ai/reports/questions/quant-to-ai-lab-flow.md - [How large is the TechBio computational and ML pool? | Metix AI](https://metix.ai/reports/questions/techbio-computational-ml-pool): The computational and ML pool is 4,374, inside a map of 35 target companies and 6,420 current profiles. The parent phrases 4,374 across those 35 companies. - Markdown: https://metix.ai/reports/questions/techbio-computational-ml-pool.md - [How many profiles are in the TechBio map? | Metix AI](https://metix.ai/reports/questions/techbio-headcount): The TechBio map covers 35 target companies and 6,420 current profiles. The parent also describes 20 AI-native companies and 15 big-pharma AI groups. Those labels sit beside 35. - Markdown: https://metix.ai/reports/questions/techbio-headcount.md - [How many TechBio target companies are mapped? | Metix AI](https://metix.ai/reports/questions/techbio-target-companies): Use 35 as the target-company count. The parent narrative is 20 AI-native companies and 15 big-pharma AI groups. Do not replace 35 with a new number. Profiles are 6,420. - Markdown: https://metix.ai/reports/questions/techbio-target-companies.md - [How many Agent job descriptions are in the US map? | Metix AI](https://metix.ai/reports/questions/us-agent-jd-count): The US Agent map counts 259 Agent job descriptions against 513 current Agent professionals at 32 companies. - Markdown: https://metix.ai/reports/questions/us-agent-jd-count.md - [How many job groups are in the US Agent map? | Metix AI](https://metix.ai/reports/questions/us-agent-job-groups): The US Agent map organizes roles into 10 job groups, beside 513 current professionals and 259 job descriptions at 32 companies. - Markdown: https://metix.ai/reports/questions/us-agent-job-groups.md - [How many US Agent professionals are in the supply-demand map? | Metix AI](https://metix.ai/reports/questions/us-agent-talent-headcount): The Agent map covers 32 US companies, 513 current Agent professionals, and 259 Agent job descriptions. - Markdown: https://metix.ai/reports/questions/us-agent-talent-headcount.md - [How large is the US chip and AI-infra talent pool? | Metix AI](https://metix.ai/reports/questions/us-chip-ai-infra-headcount): The chip map’s visible pool is 56,861 current chip and AI-infra engineering and research professionals in the United States. - Markdown: https://metix.ai/reports/questions/us-chip-ai-infra-headcount.md - [What share of world-model talent comes from game engines? | Metix AI](https://metix.ai/reports/questions/world-model-engine-origin): The world-model side shows an 11.7% engine pedigree, published as 72 of 618. Engine-side graphics talent is 486 and the engine technical pool is 4,725. - Markdown: https://metix.ai/reports/questions/world-model-engine-origin.md - [What share of xAI is Human Data & Evaluation? | Metix AI](https://metix.ai/reports/questions/xai-human-data-share): Human Data & Evaluation is 28.4% of xAI’s U.S. role mix (425 of 1,496 profiles), a 5.83× over-index. Research / Models is 2.1% in the 9,421-profile sample. - Markdown: https://metix.ai/reports/questions/xai-human-data-share.md ## How to cite Metix AI Talent Intelligence, . .