experiments jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, experiments appears in 649 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning experiments.
Last updated · 90d ending 2026-09-30
Which roles want experiments?
Upload your resume and Skillenai will show which roles your experiments experience fits, which skills you already cover, and what is missing.
Prepare to discuss experiments in your interview
We’re building mock interviews informed by job postings and career profiles, to help you explain how you’ve used experiments.
Frequently asked questions about experiments
+Is experiments in demand in 2026?
Yes. experiments appears in 649 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Product Manager accounts for the most postings mentioning experiments (61.2% of all postings mentioning experiments).
+What jobs require experiments?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning experiments are Product Owner (7.6% of that role’s postings mention experiments), Operations Program Manager (5.0% of that role’s postings mention experiments), Growth Engineer (4.5% of that role’s postings mention experiments).
+What skills are commonly paired with experiments?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), experiments most often appears alongside Product Management, user research, stakeholder management, Success metrics, A/B testing.
+Where is experiments most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring experiments are San Francisco, Singapore, Tokyo, Hong Kong, Seoul, according to the Skillenai jobs index.
+How can I keep up with new experiments content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning experiments alongside the jobs index. You can subscribe to a daily email digest of new experiments content from your Skillenai account.
+Which skills come before and after experiments?
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 experiments — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around experiments
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before experiments
Skills after experiments
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: python | 3 |
| Before: XSS | 1 |
| Before: instrument-generated data | 1 |
| Before: Flask-Login | 1 |
| Before: Monitoreo | 1 |
| Before: CRISPR | 1 |
| Before: security issues | 1 |
| Before: Battery Management System (BMS) | 1 |
| After: R | 2 |
| After: test reports | 1 |
| After: contracting | 1 |
| After: Fortran | 1 |
| After: Pie charts | 1 |
| After: ci/cd | 1 |
| After: fluid automation | 1 |
| After: python | 1 |
Roles most likely to require experiments
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Product Owner | 109 | 7.6% |
| Operations Program Manager | 4 | 5.0% |
| Growth Engineer | 2 | 4.5% |
| Senior Data Scientist | 1 | 3.7% |
| Analytics Intern | 1 | 3.6% |
| Product Manager | 397 | 3.3% |
| Product Lead | 4 | 2.5% |
| Research Engineer | 15 | 2.4% |
| ML Research Engineer | 1 | 2.1% |
| AI Deployment Engineer | 1 | 2.0% |
Roles with the most experiments postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 397 | 61.2% |
| Product Owner | 109 | 16.8% |
| Software Engineer | 23 | 3.5% |
| Research Engineer | 15 | 2.3% |
| Data Scientist | 12 | 1.8% |
| Machine Learning Engineer | 10 | 1.5% |
| AI Product Manager | 4 | 0.6% |
| Applied Scientist | 4 | 0.6% |
| Data Analyst | 4 | 0.6% |
| Operations Program Manager | 4 | 0.6% |
Top companies posting jobs requiring experiments
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Bjakcareer | 449 |
| CLERA | 14 |
| Stripe | 8 |
| Grab | 8 |
| Notion | 4 |
| 4 | |
| Bjak | 3 |
| N8n | 3 |
| General Motors | 3 |
| SpaceX | 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 experiments
| Name | Postings | Share |
|---|---|---|
| San Francisco | 26 | 4.0% |
| Singapore | 24 | 3.7% |
| Tokyo | 24 | 3.7% |
| Hong Kong | 21 | 3.2% |
| Seoul | 20 | 3.1% |
| Sydney | 20 | 3.1% |
| Taipei | 19 | 2.9% |
| New York City | 18 | 2.8% |
| London | 11 | 1.7% |
Skills commonly paired with experiments
Get a daily email digest of new experiments content
Skillenai indexes news articles, blog posts, and research papers that mention experiments. 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).
Explore related pages
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 experiments by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s experiments postings by all experiments 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 6938f2be0245b3ad
- data_as_of
- 2026-09-30
- 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 →