recommendations jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-07-18, recommendations appears in 177 job postings indexed by Skillenai over the past 90 days — most often required for Product Manager roles, with demand up 4% vs the prior 4 weeks.
Last updated · 90d ending 2026-07-18
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Frequently asked questions about recommendations
+Is recommendations in demand in 2026?
Yes. recommendations appears in 177 job postings indexed by Skillenai over the 90 days ending 2026-07-18, with demand up 4% vs the prior 4 weeks. It is most often required for Product Manager roles (27% of Product Manager postings list it).
+What jobs require recommendations?
According to the Skillenai jobs index over the 90 days ending 2026-07-18, the job titles most likely to require recommendations are Product Manager (27% of postings list recommendations), Machine Learning Engineer (9% of postings list recommendations), AI/ML Engineer (8% of postings list recommendations).
+What skills are commonly paired with recommendations?
Across job postings indexed by Skillenai (90 days ending 2026-07-18), recommendations most often appears alongside machine learning, personalization, search, experimentation, Python.
+Where is recommendations most in demand?
As of 2026-07-18, the metro areas posting the most jobs requiring recommendations are New York City, San Francisco, Bengaluru, Toronto, 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
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require recommendations
| Role | Postings mentioning | % requiring |
|---|---|---|
| Product Manager | 47 | 26.6% |
| Machine Learning Engineer | 16 | 9.0% |
| AI/ML Engineer | 15 | 8.5% |
| Data Scientist | 11 | 6.2% |
| Engineering Manager | 10 | 5.6% |
| Software Engineer | 8 | 4.5% |
| Enterprise Architect | 7 | 4.0% |
| Product Designer | 5 | 2.8% |
| ML Engineer | 3 | 1.7% |
| Applied ML Engineer | 2 | 1.1% |
Top metros hiring for recommendations
| Name | Postings | Share |
|---|---|---|
| New York City | 24 | 13.6% |
| San Francisco | 24 | 13.6% |
| Bengaluru | 8 | 4.5% |
| Toronto | 8 | 4.5% |
| London | 6 | 3.4% |
| San Jose | 6 | 3.4% |
| Berlin | 3 | 1.7% |
| Seattle | 3 | 1.7% |
| Belgrade | 2 | 1.1% |
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 2026-07-18. 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
- 2026-07-18
- 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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