benchmarking jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, benchmarking appears in 1,165 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning benchmarking, with demand down 34% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about benchmarking
+Is benchmarking in demand in 2026?
Yes. benchmarking appears in 1,165 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 34% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning benchmarking (16.1% of all postings mentioning benchmarking).
+What jobs require benchmarking?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning benchmarking are Technical Services Engineer (32.3% of that role’s postings mention benchmarking), Performance Test Engineer (20.0% of that role’s postings mention benchmarking), Performance Engineer (19.2% of that role’s postings mention benchmarking).
+What skills are commonly paired with benchmarking?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), benchmarking most often appears alongside Python, C++, profiling, machine learning, Distributed systems.
+Where is benchmarking most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring benchmarking are San Francisco, New York City, London, Santa Clara, San Jose, according to the Skillenai jobs index.
+How can I keep up with new benchmarking content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning benchmarking alongside the jobs index. You can subscribe to a daily email digest of new benchmarking content from your Skillenai account.
Weekly job postings requiring benchmarking — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require benchmarking
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Technical Services Engineer | 10 | 32.3% |
| Performance Test Engineer | 6 | 20.0% |
| Performance Engineer | 10 | 19.2% |
| Forward Deployment Engineer | 6 | 15.4% |
| Consulting Engineer | 9 | 14.5% |
| Research Fellow | 3 | 13.0% |
| ML Research Engineer | 6 | 12.5% |
| AI Systems Engineer | 5 | 11.6% |
| Machine Learning Systems Engineer | 3 | 11.1% |
| IT Consultant | 2 | 9.5% |
Roles with the most benchmarking postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 188 | 16.1% |
| Product Manager | 39 | 3.3% |
| Data Scientist | 36 | 3.1% |
| Engineering Manager | 28 | 2.4% |
| Machine Learning Engineer | 28 | 2.4% |
| Research Engineer | 27 | 2.3% |
| Research Scientist | 22 | 1.9% |
| AI Engineer | 20 | 1.7% |
| Backend Engineer | 17 | 1.5% |
| ML Engineer | 15 | 1.3% |
Top metros hiring for benchmarking
| Name | Postings | Share |
|---|---|---|
| San Francisco | 112 | 9.6% |
| New York City | 44 | 3.8% |
| London | 41 | 3.5% |
| Santa Clara | 26 | 2.2% |
| San Jose | 19 | 1.6% |
| Toronto | 19 | 1.6% |
| Bengaluru | 18 | 1.5% |
| Dublin | 15 | 1.3% |
| Munich | 15 | 1.3% |
Skills commonly paired with benchmarking
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning benchmarking by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s benchmarking postings by all benchmarking postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 334294c174d3bffd
- data_as_of
- 2026-09-28
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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