Talent maps of frontier-tech companies

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.

126 mapped GenAI delivery seats across Accenture, Infosys, Cognizant and Capgemini against 42 mapped jobs. Infosys is the hiring wall; Cognizant is stock-heavy.

An evidence-backed map of senior banker flows across 11 Wall Street investment banks

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.

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.

NVIDIA and six financial institutions aim to mobilize $500B+ in third-party capital over time. The next battle is for talent connecting compute, power, data centers, finance, and contracts.

Founder capability lineage, hiring keywords, and a peer-company map that prioritize Discovery Loop talent search.

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.

A comparison of OpenAI, Anthropic and xAI across role mix, talent sources, inter-company movement and geography, based on 9,421 U.S. profiles and 1,629 international profiles.

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.

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.

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.

Among 29,317 current-employee profiles at 25 top quant firms, 367 people now at AI labs carry quant experience versus 90 the other way.

A talent panorama of 13 frontier AI labs: who feeds and who loses talent to whom, the name-level talent-flow network, and the researcher-vs-engineer org map.

22 clinical-AI companies & hospital AI teams: locating the rare bilingual talent fluent in both clinical workflow and machine learning, and their source pipelines.

35 companies and 6,420 current profiles (computational/ML pool 4,374 of 35): wet-lab × dry-lab talent, AlphaFold spillover, and the AI-pharma org map.

13 embodied-AI players and 1,930 current profiles (technical pool 1,044 of 13): hardware × AI structure, sources, and flow corridors.

486 engine-side graphics specialists (pool 4,725 / 4 companies) and 11.7% engine pedigree on the world-model side (72/618).

Structure of active job postings outside China — across country, function, industry and job category — showing where hiring demand concentrates. Bilingual.