acceptance criteria jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, acceptance criteria appears in 1,746 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning acceptance criteria, with demand share up 11.4% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about acceptance criteria
+Is acceptance criteria in demand in 2026?
Yes. acceptance criteria appears in 1,746 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Product Manager accounts for the most postings mentioning acceptance criteria (30.1% of all postings mentioning acceptance criteria).
+What jobs require acceptance criteria?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning acceptance criteria are AI Product Owner (29.0% of that role’s postings mention acceptance criteria), Salesforce Business Analyst (20.0% of that role’s postings mention acceptance criteria), Technical Business Analyst (18.9% of that role’s postings mention acceptance criteria).
+What skills are commonly paired with acceptance criteria?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), acceptance criteria most often appears alongside User stories, Agile, JIRA, Scrum, Product Management.
+Where is acceptance criteria most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring acceptance criteria are New York City, Pune, Bengaluru, Toronto, London, according to the Skillenai jobs index.
+How can I keep up with new acceptance criteria content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning acceptance criteria alongside the jobs index. You can subscribe to a daily email digest of new acceptance criteria content from your Skillenai account.
+Which skills come before and after acceptance criteria?
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 acceptance criteria — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around acceptance criteria
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before acceptance criteria
Skills after acceptance criteria
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: user stories | 15 |
| Before: sql | 11 |
| Before: Jira | 11 |
| Before: Power BI | 6 |
| Before: Agile | 6 |
| Before: test cases | 5 |
| Before: agile methodologies | 5 |
| Before: Use Cases | 5 |
| After: test cases | 6 |
| After: Power BI | 6 |
| After: Jira | 6 |
| After: UAT | 5 |
| After: Tableau | 5 |
| After: sql | 5 |
| After: Scrum | 5 |
| After: sprint planning | 4 |
Roles most likely to require acceptance criteria
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Product Owner | 9 | 29.0% |
| Salesforce Business Analyst | 9 | 20.0% |
| Technical Business Analyst | 30 | 18.9% |
| Product Owner | 259 | 18.0% |
| Digital Product Manager | 21 | 17.2% |
| Technical Product Owner | 23 | 16.2% |
| Data Product Owner | 5 | 15.6% |
| Quality Assurance (QA) Engineer | 3 | 14.3% |
| IT Business Analyst | 26 | 13.8% |
| Digital Product Owner | 3 | 13.6% |
Roles with the most acceptance criteria postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 526 | 30.1% |
| Business Analyst | 328 | 18.8% |
| Product Owner | 259 | 14.8% |
| Technical Product Manager | 86 | 4.9% |
| Technical Business Analyst | 30 | 1.7% |
| IT Business Analyst | 26 | 1.5% |
| Technical Product Owner | 23 | 1.3% |
| Digital Product Manager | 21 | 1.2% |
| Systems Engineer | 17 | 1.0% |
| QA Engineer | 14 | 0.8% |
Top companies posting jobs requiring acceptance criteria
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Bjakcareer | 48 |
| Barclays | 29 |
| LightFeather | 26 |
| Capital One | 23 |
| Capco | 22 |
| Fundraise Up | 16 |
| Allianz | 15 |
| Mastercard | 11 |
| INSPYR Solutions | 11 |
| TEKsystems | 11 |
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 acceptance criteria
| Name | Postings | Share |
|---|---|---|
| New York City | 46 | 2.6% |
| Pune | 42 | 2.4% |
| Bengaluru | 34 | 1.9% |
| Toronto | 27 | 1.5% |
| London | 26 | 1.5% |
| Austin | 19 | 1.1% |
| Hyderabad | 19 | 1.1% |
| San Francisco | 18 | 1.0% |
| Atlanta | 16 | 0.9% |
Skills commonly paired with acceptance criteria
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 acceptance criteria by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s acceptance criteria postings by all acceptance criteria 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: 0.6% to 0.7%. 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 2,596 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (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
- a32301cc20466237
- data_as_of
- 2026-09-30
- 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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