feedback loops jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, feedback loops appears in 193 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning feedback loops, with demand share down 18.1% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want feedback loops?
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Frequently asked questions about feedback loops
+Is feedback loops in demand in 2026?
Yes. feedback loops appears in 193 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Product Manager accounts for the most postings mentioning feedback loops (15.5% of all postings mentioning feedback loops).
+What jobs require feedback loops?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning feedback loops are Agent Product Manager (25.9% of that role’s postings mention feedback loops), AI Enablement Engineer (5.4% of that role’s postings mention feedback loops), Quality Assurance Team Lead (5.0% of that role’s postings mention feedback loops).
+What skills are commonly paired with feedback loops?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), feedback loops most often appears alongside machine learning, model evaluation, System design, Python, experimentation.
+Where is feedback loops most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring feedback loops are San Francisco, New York City, Singapore, Austin, London, according to the Skillenai jobs index.
+How can I keep up with new feedback loops content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning feedback loops alongside the jobs index. You can subscribe to a daily email digest of new feedback loops content from your Skillenai account.
+Which skills come before and after feedback loops?
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 feedback loops — last 90 days
Career paths around feedback loops
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before feedback loops
Skills after feedback loops
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: MYSQL | 2 |
| Before: JavaScript | 2 |
| Before: Tally Prime | 1 |
| Before: correlation ratio | 1 |
| Before: Indexing | 1 |
| Before: Stock Exchange | 1 |
| Before: google | 1 |
| Before: PHP | 1 |
| After: MobileMini | 1 |
| After: version release | 1 |
| After: Kendall-Jackson | 1 |
| After: technical presentations | 1 |
| After: Business Intelligence | 1 |
| After: contract negotiations | 1 |
| After: project management | 1 |
| After: Needs analysis | 1 |
Roles most likely to require feedback loops
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Agent Product Manager | 7 | 25.9% |
| AI Enablement Engineer | 2 | 5.4% |
| Quality Assurance Team Lead | 1 | 5.0% |
| Agent Engineer | 1 | 3.8% |
| Product Lead | 5 | 3.8% |
| Software Product Manager | 1 | 3.2% |
| Lead Product Manager | 2 | 3.1% |
| AI Engineering Lead | 1 | 2.8% |
| Lead Software Engineer | 2 | 2.7% |
| Staff Software Engineer | 3 | 2.5% |
Roles with the most feedback loops postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 30 | 15.5% |
| Software Engineer | 21 | 10.9% |
| Technical Product Manager | 13 | 6.7% |
| AI Engineer | 9 | 4.7% |
| Machine Learning Engineer | 8 | 4.1% |
| Agent Product Manager | 7 | 3.6% |
| Program Manager | 6 | 3.1% |
| Engineering Manager | 5 | 2.6% |
| Product Designer | 5 | 2.6% |
| Product Lead | 5 | 2.6% |
Top companies posting jobs requiring feedback loops
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Bjakcareer | 25 |
| CLERA | 8 |
| Decagon | 7 |
| Stripe | 5 |
| Sourcegraph | 5 |
| Freshworks | 3 |
| ANDE | 3 |
| NVIDIA | 3 |
| Redcare Pharmacy | 3 |
| Trustly | 3 |
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 feedback loops
| Name | Postings | Share |
|---|---|---|
| San Francisco | 21 | 10.9% |
| New York City | 17 | 8.8% |
| Singapore | 12 | 6.2% |
| Austin | 6 | 3.1% |
| London | 6 | 3.1% |
| Berlin | 4 | 2.1% |
| Seattle | 4 | 2.1% |
| San Jose | 3 | 1.6% |
| Seoul | 3 | 1.6% |
Skills commonly paired with feedback loops
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. 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 feedback loops by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s feedback loops postings by all feedback loops 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 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (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
- 8214752f58df710c
- data_as_of
- 2026-10-29
- window_days
- 90