recommendations jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-06-11, recommendations appears in 200 job postings indexed by Skillenai over the past 90 days — most often required for Product Manager roles, with demand down 29% vs the prior 4 weeks.
Last updated · 90d ending 2026-06-11
Get a daily email digest of new recommendations content
Skillenai indexes news articles, blog posts, and research papers that mention recommendations. Click below and we'll open a pre-filled daily digest — change the cadence to hourly or weekly if you prefer, then save. Free account required (~30 seconds).
Frequently asked questions about recommendations
+Is recommendations in demand in 2026?
Yes. recommendations appears in 200 job postings indexed by Skillenai over the 90 days ending 2026-06-11, with demand down 29% vs the prior 4 weeks. It is most often required for Product Manager roles (20% of Product Manager postings list it).
+What jobs require recommendations?
According to the Skillenai jobs index over the 90 days ending 2026-06-11, the job titles most likely to require recommendations are Product Manager (20% of postings list recommendations), AI/ML Engineer (12% of postings list recommendations), Data Scientist (8% of postings list recommendations).
+What skills are commonly paired with recommendations?
Across job postings indexed by Skillenai (90 days ending 2026-06-11), recommendations most often appears alongside machine learning, personalization, Python, search, SQL.
+Where is recommendations most in demand?
As of 2026-06-11, the metro areas posting the most jobs requiring recommendations are San Francisco, New York City, 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
Job titles most likely to require recommendations
| Role | Postings mentioning | % requiring |
|---|---|---|
| Product Manager | 40 | 20.0% |
| AI/ML Engineer | 23 | 11.5% |
| Data Scientist | 17 | 8.5% |
| Machine Learning Engineer | 15 | 7.5% |
| Software Engineer | 13 | 6.5% |
| Engineering Manager | 10 | 5.0% |
| Product Designer | 7 | 3.5% |
| Enterprise Architect | 6 | 3.0% |
| Backend Engineer | 4 | 2.0% |
| Data Science Manager | 3 | 1.5% |
Top metros hiring for recommendations
| Name | Postings | Share |
|---|---|---|
| San Francisco | 30 | 15.0% |
| New York City | 27 | 13.5% |
| Bengaluru | 13 | 6.5% |
| Toronto | 11 | 5.5% |
| London | 6 | 3.0% |
| San Jose | 5 | 2.5% |
| Los Angeles | 3 | 1.5% |
| Berlin | 2 | 1.0% |
| Brazil | 2 | 1.0% |
Skills commonly paired with recommendations
Stay current on recommendations without doomscrolling
Same one-click setup as above, plus you can pull the underlying stream into your own coding agent via the Skillenai API.
Explore related pages
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-06-11. 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
- 2026-06-11
- 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.
Skillenai for recruiters →