recommendations jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-08-31, recommendations appears in 172 job postings indexed by Skillenai over the past 90 days — most often required for Product Manager roles, with demand down 5% vs the prior 4 weeks.
Last updated · 90d ending 2026-08-31
Which roles want recommendations?
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Frequently asked questions about recommendations
+Is recommendations in demand in 2026?
Yes. recommendations appears in 172 job postings indexed by Skillenai over the 90 days ending 2026-08-31, with demand down 5% vs the prior 4 weeks. It is most often required for Product Manager roles (33% of Product Manager postings list it).
+What jobs require recommendations?
According to the Skillenai jobs index over the 90 days ending 2026-08-31, the job titles most likely to require recommendations are Product Manager (33% of postings list recommendations), Machine Learning Engineer (10% of postings list recommendations), Engineering Manager (8% of postings list recommendations).
+What skills are commonly paired with recommendations?
Across job postings indexed by Skillenai (90 days ending 2026-08-31), recommendations most often appears alongside machine learning, search, personalization, ranking, experimentation.
+Where is recommendations most in demand?
As of 2026-08-31, the metro areas posting the most jobs requiring recommendations are San Francisco, New York City, Toronto, Berlin, London, according to the Skillenai jobs index.
+How can I keep up with new recommendations content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning recommendations alongside the jobs index. You can subscribe to a daily email digest of new recommendations content from your Skillenai account.
Weekly job postings requiring recommendations — last 90 days
Job titles most likely to require recommendations
| Role | Postings mentioning | % requiring |
|---|---|---|
| Product Manager | 56 | 32.6% |
| Machine Learning Engineer | 17 | 9.9% |
| Engineering Manager | 13 | 7.6% |
| Enterprise Architect | 13 | 7.6% |
| Software Engineer | 13 | 7.6% |
| Data Scientist | 6 | 3.5% |
| Product Designer | 4 | 2.3% |
| AI/ML Engineer | 3 | 1.7% |
| AI Engineer | 2 | 1.2% |
| Backend Engineer | 2 | 1.2% |
Top metros hiring for recommendations
| Name | Postings | Share |
|---|---|---|
| San Francisco | 25 | 14.5% |
| New York City | 13 | 7.6% |
| Toronto | 7 | 4.1% |
| Berlin | 5 | 2.9% |
| London | 4 | 2.3% |
| Seattle | 4 | 2.3% |
| Amsterdam | 3 | 1.7% |
| Austin | 3 | 1.7% |
| Bengaluru | 3 | 1.7% |
Skills commonly paired with recommendations
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-08-31. 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
- fb2c6e5492dce021
- data_as_of
- 2026-08-31
- 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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