performance metrics jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, performance metrics appears in 265 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning performance metrics, with demand share down 7.6% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want performance metrics?
Upload your resume and Skillenai will show which roles your performance metrics experience fits, which skills you already cover, and what is missing.
Frequently asked questions about performance metrics
+Is performance metrics in demand in 2026?
Yes. performance metrics appears in 265 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Product Manager accounts for the most postings mentioning performance metrics (18.9% of all postings mentioning performance metrics).
+What jobs require performance metrics?
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 performance metrics are Analytics Engineering Director (9.1% of that role’s postings mention performance metrics), Marketing Program Manager (6.2% of that role’s postings mention performance metrics), Storage Architect (4.5% of that role’s postings mention performance metrics).
+What skills are commonly paired with performance metrics?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), performance metrics most often appears alongside Data analysis, project management, Risk Management, program management, stakeholder management.
+Where is performance metrics most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring performance metrics are New York City, Washington, London, Bengaluru, San Jose, according to the Skillenai jobs index.
+How can I keep up with new performance metrics content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning performance metrics alongside the jobs index. You can subscribe to a daily email digest of new performance metrics content from your Skillenai account.
+Which skills come before and after performance metrics?
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 performance metrics — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around performance metrics
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before performance metrics
Skills after performance metrics
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: a/b testing | 2 |
| Before: sql | 2 |
| Before: Excel | 2 |
| Before: KPIs | 2 |
| Before: test plans | 2 |
| Before: process improvements | 2 |
| Before: data validation | 2 |
| Before: reporting | 2 |
| After: sql | 6 |
| After: Compliance | 4 |
| After: python | 4 |
| After: dashboards | 3 |
| After: project management | 2 |
| After: SharePoint | 2 |
| After: testing | 2 |
| After: Workflow Automation | 2 |
Roles most likely to require performance metrics
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Analytics Engineering Director | 2 | 9.1% |
| Marketing Program Manager | 2 | 6.2% |
| Storage Architect | 1 | 4.5% |
| Design Program Manager | 1 | 4.3% |
| Large Language Model Architect | 1 | 4.3% |
| Data Consultant | 1 | 3.8% |
| Business Analytics Manager | 2 | 3.3% |
| Product Analytics Manager | 1 | 3.2% |
| AI Enablement Lead | 1 | 3.1% |
| Chief of Staff | 1 | 1.7% |
Roles with the most performance metrics postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 50 | 18.9% |
| Program Manager | 39 | 14.7% |
| Business Analyst | 14 | 5.3% |
| Forward Deployed Engineer | 11 | 4.2% |
| Software Engineer | 7 | 2.6% |
| Technical Program Manager | 7 | 2.6% |
| Technical Product Manager | 6 | 2.3% |
| Data Analyst | 4 | 1.5% |
| Product Owner | 3 | 1.1% |
| AI Performance Engineer | 2 | 0.8% |
Top companies posting jobs requiring performance metrics
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Aircallioinc | 10 |
| ProSidian Consulting | 8 |
| USAA | 4 |
| Cisco | 4 |
| Arlo Solutions | 3 |
| HP | 3 |
| 3 | |
| Tide | 3 |
| Medtronic | 3 |
| Axon | 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 performance metrics
| Name | Postings | Share |
|---|---|---|
| New York City | 9 | 3.4% |
| Washington | 8 | 3.0% |
| London | 5 | 1.9% |
| Bengaluru | 4 | 1.5% |
| San Jose | 4 | 1.5% |
| Charlotte | 3 | 1.1% |
| Hyderabad | 3 | 1.1% |
| Louisville | 3 | 1.1% |
| Melbourne | 3 | 1.1% |
Skills commonly paired with performance metrics
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 performance metrics by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s performance metrics postings by all performance metrics 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
- 6a4902071a3707d9
- data_as_of
- 2026-10-29
- window_days
- 90