Automated workflows jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, Automated workflows appears in 164 job postings indexed by Skillenai over the past 90 days — most often required for Backend Engineer roles, with demand down 25% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about Automated workflows
+Is Automated workflows in demand in 2026?
Yes. Automated workflows appears in 164 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 25% vs the prior 4 weeks. It is most often required for Backend Engineer roles (9% of Backend Engineer postings list it).
+What jobs require Automated workflows?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require Automated workflows are Backend Engineer (9% of postings list Automated workflows), Engineering Manager (6% of postings list Automated workflows), Product Manager (6% of postings list Automated workflows).
+What skills are commonly paired with Automated workflows?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), Automated workflows most often appears alongside Python, SQL, TypeScript, React, data pipelines.
+Where is Automated workflows most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring Automated workflows are New York City, London, San Francisco, Seattle, Toronto, according to the Skillenai jobs index.
+How can I keep up with new Automated workflows content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Automated workflows alongside the jobs index. You can subscribe to a daily email digest of new Automated workflows content from your Skillenai account.
Weekly job postings requiring Automated workflows — last 90 days
Job titles most likely to require Automated workflows
| Role | Postings mentioning | % requiring |
|---|---|---|
| Backend Engineer | 15 | 9.1% |
| Engineering Manager | 10 | 6.1% |
| Product Manager | 10 | 6.1% |
| Software Engineer | 9 | 5.5% |
| Full Stack Product Engineer | 7 | 4.3% |
| Analytics Engineer | 5 | 3.0% |
| Data Scientist | 4 | 2.4% |
| GTM Engineer | 4 | 2.4% |
| Staff Product Manager | 3 | 1.8% |
| AI Engineer | 2 | 1.2% |
Top metros hiring for Automated workflows
| Name | Postings | Share |
|---|---|---|
| New York City | 15 | 28.8% |
| London | 14 | 26.9% |
| San Francisco | 5 | 9.6% |
| Seattle | 4 | 7.7% |
| Toronto | 4 | 7.7% |
| Madrid | 3 | 5.8% |
| Mexico City | 3 | 5.8% |
| Buenos Aires | 2 | 3.8% |
| Denver | 2 | 3.8% |
Skills commonly paired with Automated workflows
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-05-17. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 3ec001e77642dde2
- data_as_of
- 2026-05-17
- 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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