Staff engineering peer pack · five names · 2026

Five Staff Engineer benches on one date: inside the 690-profile peer pack

Google maps 205 current Staff Engineer against IBM 149; five-name pack 690. As of 2026-09-30 PT.

As-of scope 2026-09-30 PT Published by Metix AI Coverage five company homepage records · 690 current profiles
Peer pack list

Start with the five-company bench contrast before outreach

Google 205, IBM 149, LinkedIn 129, Shopify 109, Meta 98: five records add to 690. Software Engineer and Principal Engineer stay outside this page's scope.

Seat Boundary

One seat only: Staff Engineer

The seat is spelled-out Staff Engineer only; Senior joins the same family. Five exclusive homepage records total 690 as of 2026-09-30 PT.

Seat classification: spelled-out Staff Engineer / Senior Staff Engineer stay in scope; Software Engineer and Principal Engineer remain outside.
Violet hex classification: spelled-out Staff Engineer / Senior Staff Engineer stay in scope, while Software Engineer and Principal Engineer remain outside.
Key takeaway · How to cite

Denominator: sum of current Staff Engineer profiles across five exclusive company homepage records, as of 2026-09-30 PT.

Pack Anchor

Anchor host Google maps 205

Google sets the top of the range. Its own exclusive company homepage record, www.google.com, carries 205 current Staff Engineer profiles as of 2026-09-30 PT. Nobody else in the pack comes close, and because the record is exclusive to Google, that 205 is not inflated by acquired or parent brands.

Google IBM LinkedIn Shopify Meta 0 50 100 150 200 250 205 149 129 109 98 Staff Engineer peer pack profiles · As of 2026-09-30 PT Staff Engineer bench contrast, highest to lowest: Google 205, IBM 149, LinkedIn 129, Shopify 109, Meta 98. As of 2026-09-30 PT. Source: Metix AI.
Staff Engineer bench contrast, highest to lowest: Google 205, IBM 149, LinkedIn 129, Shopify 109, Meta 98. As of 2026-09-30 PT. Source: Metix AI.
View data
NameValue
Google205
IBM149
LinkedIn129
Shopify109
Meta98

Denominator: current profiles on the Google exclusive homepage record (www.google.com) matching Staff Engineer / Senior Staff Engineer, as of 2026-09-30 PT.

Second Rung

Second anchor IBM maps 149

IBM follows on its own exclusive company homepage record, www.ibm.com, with 149 current Staff Engineer profiles as of 2026-09-30 PT. Against Google, this rung is narrower under the same seat definition; the difference is bench depth rather than a different scope.

Denominator: current profiles on the IBM exclusive homepage record (www.ibm.com) matching Staff Engineer / Senior Staff Engineer, as of 2026-09-30 PT.

Mid Band

Mid records LinkedIn 129 and Shopify 109

LinkedIn holds the mid band with 129 current profiles on www.linkedin.com, and Shopify follows with 109 on www.shopify.com, both as of 2026-09-30 PT. The mid band is often the most under-read rung.

Denominator: current profiles on LinkedIn (www.linkedin.com) and Shopify (www.shopify.com) exclusive homepage records matching Staff Engineer / Senior Staff Engineer, as of 2026-09-30 PT.

The Tail

Tail record Meta maps 98

Meta closes the tail with 98 current Staff Engineer profiles on its own exclusive company homepage record, www.meta.com, as of 2026-09-30 PT. A tail bench is not a dismissal: for hiring moves that need a precise seat picture, 98 is still a reachable, comparable pool.

Denominator: current profiles on the Meta exclusive homepage record (www.meta.com) matching Staff Engineer / Senior Staff Engineer, as of 2026-09-30 PT.

Pack Total

Five homepage records total 690

The pack total is 690 current Staff Engineer profiles, the sum of the five exclusive company homepage records: 205 + 149 + 129 + 109 + 98 = 690, as of 2026-09-30 PT. Because the five records do not overlap on the seat being counted, the total is a clean addition.

690
pack total
five records added
205
Google
pack anchor
149
IBM
second rung
129
LinkedIn
mid band
Exclusive record boundary for the five company homepage records in this pack.
Violet hex boundary: the five company homepage records that define the pack.
0% 20% 40% 60% 80% 100% Google 205 (29.7%) IBM 149 (21.6%) LinkedIn 129 (18.7%) 15.8% 14.2% Google 205 (29.7%) IBM 149 (21.6%) LinkedIn 129 (18.7%) Shopify 109 (15.8%) Meta 98 (14.2%) Staff Engineer pack share profiles · As of 2026-09-30 PT Staff Engineer pack share of 690: Google 205 (29.7%), IBM 149 (21.6%), LinkedIn 129 (18.7%), Shopify 109 (15.8%), Meta 98 (14.2%). As of 2026-09-30 PT. Source: Metix AI.
Staff Engineer pack share of 690: Google 205 (29.7%), IBM 149 (21.6%), LinkedIn 129 (18.7%), Shopify 109 (15.8%), Meta 98 (14.2%). As of 2026-09-30 PT. Source: Metix AI.
View data
NameValueShare
Google20529.7%
IBM14921.6%
LinkedIn12918.7%
Shopify10915.8%
Meta9814.2%

Denominator: sum of current profiles across five exclusive company homepage records, as of 2026-09-30 PT.

Outside the Seat

Outside seats: Software Engineer and Principal Engineer

Software Engineer and Principal Engineer titles remain outside the 690. They may sit beside Staff Engineer on the same org chart, but the pack counts only the one spelled-out seat, so the total stays traceable to five exclusive company homepage records as of 2026-09-30 PT.

Denominator: sum of current Staff Engineer profiles across five exclusive company homepage records; Software Engineer and Principal Engineer sit outside this denominator, as of 2026-09-30 PT.

Methodology

Counting rule for this chapter. Every figure is a count of current profiles on one named company's own exclusive homepage record — Google, IBM, LinkedIn, Shopify, Meta — never a rolled-up parent entity. The seat is kept deliberately narrow: spelled-out Staff Engineer, with Senior counted in the same family. All numbers share a single as-of date, 2026-09-30 PT. Source: Metix AI.

MetricValueDenominator
Google205current profiles on the Google exclusive homepage record (www.google.com) matching Staff Engineer / Senior Staff Engineer
IBM149current profiles on the IBM exclusive homepage record (www.ibm.com) matching Staff Engineer / Senior Staff Engineer
LinkedIn129current profiles on the LinkedIn exclusive homepage record (www.linkedin.com) matching Staff Engineer / Senior Staff Engineer
Shopify109current profiles on the Shopify exclusive homepage record (www.shopify.com) matching Staff Engineer / Senior Staff Engineer
Meta98current profiles on the Meta exclusive homepage record (www.meta.com) matching Staff Engineer / Senior Staff Engineer
Custom map

Ask Metix to run the same map on your names

The published pack is fixed at 690 across the five exclusive company homepage records; the same single-seat scope can be applied to a different company record for your next hiring decision.

FAQ

FAQ

Why these five companies and not other Staff Engineer employers?
Because each of the five — Google, IBM, LinkedIn, Shopify, Meta — has its own exclusive company homepage record, so its bench can be counted directly. Together they hold 690 current Staff Engineer profiles across the five exclusive company homepage records as of 2026-09-30 PT.
Does the total of 690 include Software Engineer or Principal Engineer titles?
No. The 690 is the sum of current Staff Engineer profiles on the five exclusive company homepage records (205 + 149 + 129 + 109 + 98) as of 2026-09-30 PT; Software Engineer and Principal Engineer titles are counted outside this seat.
Why does Google sit at 205 while Meta sits at 98?
The counting rule is identical for both: current Staff Engineer profiles on each company's own exclusive homepage record as of 2026-09-30 PT. Google's record holds 205 and Meta's holds 98, so the gap reflects bench depth rather than a different scope.
Can this same Staff Engineer seat cut be remade for a company outside the published 690-person pack?
Yes. The published staff engineering peer pack stays fixed at 690 across the five exclusive homepage records as of 2026-09-30 PT, and the same spelled-out Staff Engineer seat can be applied to another company record on request.

Request the staff engineering peer pack (five names · 690 current people)

The same methodology can export mapped current Staff Engineer profiles at Google, IBM, LinkedIn, Shopify, Meta, or rerun a custom peer pack on your target companies.

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