experimentation jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-28, experimentation appears in 3,417 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning experimentation, with demand down 41% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
3,417
Demand vs prior month
down 41% vs the prior 4 weeks
Top role · 31.4% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about experimentation

+Is experimentation in demand in 2026?

Yes. experimentation appears in 3,417 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 41% vs the prior 4 weeks. Product Manager accounts for the most postings mentioning experimentation (31.4% of all postings mentioning experimentation).

+What jobs require experimentation?

According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning experimentation are Product Data Scientist (27.0% of that role’s postings mention experimentation), Growth Product Manager (23.7% of that role’s postings mention experimentation), Marketing Analytics Lead (22.7% of that role’s postings mention experimentation).

+What skills are commonly paired with experimentation?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), experimentation most often appears alongside Python, A/B testing, SQL, machine learning, Product Management.

+Where is experimentation most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring experimentation are San Francisco, New York City, London, Toronto, Seattle, according to the Skillenai jobs index.

+How can I keep up with new experimentation content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning experimentation alongside the jobs index. You can subscribe to a daily email digest of new experimentation content from your Skillenai account.

Weekly job postings requiring experimentation — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Roles most likely to require experimentation

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Product Data Scientist1727.0%
Growth Product Manager1423.7%
Marketing Analytics Lead522.7%
Data Science Manager5122.4%
Applied Data Scientist818.6%
Marketing Analytics Director518.5%
Principal Data Scientist717.9%
Lead Product Manager1217.9%
Machine Learning Manager417.4%
Product Analytics Manager517.2%

Roles with the most experimentation postings

RolePostings mentioning skillShare of skill postings
Product Manager1,07231.4%
Data Scientist37310.9%
Software Engineer1594.7%
Product Designer1564.6%
Machine Learning Engineer1273.7%
AI Engineer1113.2%
Engineering Manager1033.0%
Data Analyst531.6%
Data Science Manager511.5%
Product Owner371.1%

Top metros hiring for experimentation

NamePostingsShare
San Francisco2567.5%
New York City2066.0%
London1815.3%
Toronto962.8%
Seattle661.9%
Boston491.4%
Singapore481.4%
Austin421.2%
Berlin411.2%

Skills commonly paired with experimentation

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. 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 experimentation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s experimentation postings by all experimentation 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).

source
Skillenai jobs index, deduplicated daily
entity_id
7c648c3713ae6141
data_as_of
2026-09-28
window_days
90
Hiring engineers who use experimentation?

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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index