evaluation systems jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, evaluation systems appears in 165 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning evaluation systems, with demand share up 11.2% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want evaluation systems?
Upload your resume and Skillenai will show which roles your evaluation systems experience fits, which skills you already cover, and what is missing.
Frequently asked questions about evaluation systems
+Is evaluation systems in demand in 2026?
Yes. evaluation systems appears in 165 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Product Manager accounts for the most postings mentioning evaluation systems (17.0% of all postings mentioning evaluation systems).
+What jobs require evaluation systems?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning evaluation systems are Founding AI Engineer (4.8% of that role’s postings mention evaluation systems), Machine Learning Systems Engineer (4.8% of that role’s postings mention evaluation systems), Research Program Manager (4.8% of that role’s postings mention evaluation systems).
+What skills are commonly paired with evaluation systems?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), evaluation systems most often appears alongside Python, machine learning, observability, data pipelines, TypeScript.
+Where is evaluation systems most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring evaluation systems are New York City, San Francisco, London, Mountain View, Lehi, according to the Skillenai jobs index.
+How can I keep up with new evaluation systems content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning evaluation systems alongside the jobs index. You can subscribe to a daily email digest of new evaluation systems content from your Skillenai account.
+Which skills come before and after evaluation systems?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring evaluation systems — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around evaluation systems
Skills documented before and after this skill across employer changes.
Not enough linked career history to draw this chart yet.
Roles most likely to require evaluation systems
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Founding AI Engineer | 1 | 4.8% |
| Machine Learning Systems Engineer | 1 | 4.8% |
| Research Program Manager | 1 | 4.8% |
| Analytics Engineering Director | 1 | 4.5% |
| AI Operations Manager | 1 | 4.3% |
| Applied Research Scientist | 1 | 4.0% |
| Tech Lead Manager | 1 | 3.8% |
| Applied AI Engineer | 16 | 3.7% |
| Application Software Engineer | 1 | 2.5% |
| QA Lead | 1 | 2.5% |
Roles with the most evaluation systems postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 28 | 17.0% |
| Machine Learning Engineer | 25 | 15.2% |
| Software Engineer | 21 | 12.7% |
| Applied AI Engineer | 16 | 9.7% |
| AI Engineer | 14 | 8.5% |
| ML Engineer | 7 | 4.2% |
| Backend Engineer | 6 | 3.6% |
| AI Architect | 3 | 1.8% |
| Software Engineering Manager | 3 | 1.8% |
| Applied AI Research Engineer | 2 | 1.2% |
Top companies posting jobs requiring evaluation systems
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Traba | 21 |
| OpenAI | 13 |
| Bjakcareer | 13 |
| CLERA | 8 |
| Gitlab | 6 |
| Waymo | 4 |
| Mapbox | 4 |
| Bjak | 3 |
| Wayve | 3 |
| Asana | 3 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for evaluation systems
| Name | Postings | Share |
|---|---|---|
| New York City | 38 | 23.0% |
| San Francisco | 21 | 12.7% |
| London | 5 | 3.0% |
| Mountain View | 4 | 2.4% |
| Lehi | 3 | 1.8% |
| Munich | 3 | 1.8% |
| Sunnyvale | 3 | 1.8% |
| Bengaluru | 2 | 1.2% |
| Palo Alto | 2 | 1.2% |
Skills commonly paired with evaluation systems
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. 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 evaluation systems by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s evaluation systems postings by all evaluation systems 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). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- f6fb28d0464e34f6
- data_as_of
- 2026-10-29
- window_days
- 90