AI-enabled workflows jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, AI-enabled workflows appears in 182 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning AI-enabled workflows, with demand share up 17.7% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about AI-enabled workflows
+Is AI-enabled workflows in demand in 2026?
Yes. AI-enabled workflows appears in 182 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Product Manager accounts for the most postings mentioning AI-enabled workflows (11.5% of all postings mentioning AI-enabled workflows).
+What jobs require AI-enabled workflows?
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 AI-enabled workflows are Customer Program Manager (4.9% of that role’s postings mention AI-enabled workflows), Enterprise Software Engineer (4.8% of that role’s postings mention AI-enabled workflows), Growth Marketer (4.8% of that role’s postings mention AI-enabled workflows).
+What skills are commonly paired with AI-enabled workflows?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), AI-enabled workflows most often appears alongside automation, SQL, Python, APIs, Data analysis.
+Where is AI-enabled workflows most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring AI-enabled workflows are New York City, London, San Francisco, Dublin, Seattle, according to the Skillenai jobs index.
+How can I keep up with new AI-enabled workflows content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning AI-enabled workflows alongside the jobs index. You can subscribe to a daily email digest of new AI-enabled workflows content from your Skillenai account.
+Which skills come before and after AI-enabled workflows?
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 AI-enabled workflows — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around AI-enabled workflows
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 AI-enabled workflows
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Customer Program Manager | 2 | 4.9% |
| Enterprise Software Engineer | 1 | 4.8% |
| Growth Marketer | 1 | 4.8% |
| Strategic Program Manager | 1 | 4.2% |
| Implementation Engineer | 2 | 4.1% |
| Machine Learning Manager | 1 | 4.0% |
| Marketing Program Manager | 1 | 3.3% |
| Business Operations Analyst | 1 | 3.1% |
| FP&A Manager | 1 | 2.4% |
| Chief Technology Officer | 1 | 2.1% |
Roles with the most AI-enabled workflows postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 21 | 11.5% |
| Program Manager | 14 | 7.7% |
| Product Designer | 9 | 4.9% |
| Software Engineer | 9 | 4.9% |
| Business Analyst | 4 | 2.2% |
| Data Engineer | 4 | 2.2% |
| Technical Program Manager | 4 | 2.2% |
| Automation Engineer | 3 | 1.6% |
| DevSecOps Engineer | 3 | 1.6% |
| Finance AI Analyst | 3 | 1.6% |
Top companies posting jobs requiring AI-enabled workflows
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Thumbtack | 6 |
| Capco | 5 |
| Gitlab | 5 |
| PlayStation | 4 |
| Cisco | 4 |
| Gallup | 3 |
| HouseCall Pro | 3 |
| Picoquantitativetrading | 3 |
| Elsevier | 3 |
| Butterfly Network | 2 |
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 AI-enabled workflows
| Name | Postings | Share |
|---|---|---|
| New York City | 15 | 8.2% |
| London | 8 | 4.4% |
| San Francisco | 7 | 3.8% |
| Dublin | 4 | 2.2% |
| Seattle | 3 | 1.6% |
| Singapore | 3 | 1.6% |
| Austin | 2 | 1.1% |
| Boston | 2 | 1.1% |
| Denver | 2 | 1.1% |
Skills commonly paired with AI-enabled workflows
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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 AI-enabled workflows by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s AI-enabled workflows postings by all AI-enabled workflows 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 2,595 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
- 961e492fc4ff7bb1
- 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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