unit economics jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, unit economics appears in 302 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning unit economics, with demand share up 2.7% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-30
Which roles want unit economics?
Upload your resume and Skillenai will show which roles your unit economics experience fits, which skills you already cover, and what is missing.
Frequently asked questions about unit economics
+Is unit economics in demand in 2026?
Yes. unit economics appears in 302 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Product Manager accounts for the most postings mentioning unit economics (28.8% of all postings mentioning unit economics).
+What jobs require unit economics?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning unit economics are Chief Executive Officer (40.9% of that role’s postings mention unit economics), FP&A Analyst (17.1% of that role’s postings mention unit economics), Growth Analyst (15.0% of that role’s postings mention unit economics).
+What skills are commonly paired with unit economics?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), unit economics most often appears alongside SQL, financial modeling, Python, A/B testing, Product Management.
+Where is unit economics most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring unit economics are San Francisco, London, New York City, Chicago, Hong Kong, according to the Skillenai jobs index.
+How can I keep up with new unit economics content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning unit economics alongside the jobs index. You can subscribe to a daily email digest of new unit economics content from your Skillenai account.
+Which skills come before and after unit economics?
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 unit economics — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around unit economics
Skills documented before and after this skill across employer changes.
Not enough linked career history to draw this chart yet.
Roles most likely to require unit economics
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Chief Executive Officer | 9 | 40.9% |
| FP&A Analyst | 7 | 17.1% |
| Growth Analyst | 3 | 15.0% |
| FP&A Manager | 4 | 10.0% |
| Finance Analyst | 2 | 7.4% |
| Financial Data Analyst | 2 | 6.5% |
| Lead Product Manager | 4 | 6.2% |
| Finance Manager | 1 | 4.8% |
| Financial Analyst | 3 | 4.5% |
| General Manager | 1 | 4.2% |
Roles with the most unit economics postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 87 | 28.8% |
| Business Analyst | 10 | 3.3% |
| Chief Executive Officer | 9 | 3.0% |
| Data Analyst | 8 | 2.6% |
| AI Product Manager | 7 | 2.3% |
| FP&A Analyst | 7 | 2.3% |
| Data Scientist | 5 | 1.7% |
| Strategic Finance Lead | 5 | 1.7% |
| CEO | 4 | 1.3% |
| CEO - AI Investing | 4 | 1.3% |
Top companies posting jobs requiring unit economics
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Bjakcareer | 19 |
| Stripe | 8 |
| Wise | 7 |
| CLERA | 5 |
| Zego | 5 |
| Twilio | 4 |
| Babylist | 4 |
| Baseten | 4 |
| Clara | 3 |
| Pure Storage | 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 unit economics
| Name | Postings | Share |
|---|---|---|
| San Francisco | 24 | 7.9% |
| London | 22 | 7.3% |
| New York City | 17 | 5.6% |
| Chicago | 6 | 2.0% |
| Hong Kong | 5 | 1.7% |
| São Paulo | 5 | 1.7% |
| Austin | 4 | 1.3% |
| Boston | 4 | 1.3% |
| Mexico City | 4 | 1.3% |
Skills commonly paired with unit economics
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 2026-10-30. 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 unit economics by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s unit economics postings by all unit economics 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
- d48f44cb58899f42
- data_as_of
- 2026-10-30
- window_days
- 90