Supabase jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, Supabase appears in 243 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Supabase.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about Supabase
+Is Supabase in demand in 2026?
Yes. Supabase appears in 243 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning Supabase (17.3% of all postings mentioning Supabase).
+What jobs require Supabase?
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 Supabase are Founding Product Engineer (37.5% of that role’s postings mention Supabase), Founding Engineer (20.5% of that role’s postings mention Supabase), Full-Stack AI Engineer (14.3% of that role’s postings mention Supabase).
+What skills are commonly paired with Supabase?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), Supabase most often appears alongside TypeScript, React, PostgreSQL, Python, Next.js.
+Where is Supabase most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring Supabase are San Francisco, Munich, New York City, Berlin, Copenhagen, according to the Skillenai jobs index.
+How can I keep up with new Supabase content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Supabase alongside the jobs index. You can subscribe to a daily email digest of new Supabase content from your Skillenai account.
+Which skills come before and after Supabase?
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 Supabase — last 90 days
Career paths around Supabase
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Supabase
Skills after Supabase
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: React | 9 |
| Before: python | 5 |
| Before: PostgreSQL | 4 |
| Before: docker | 4 |
| Before: Next.js | 4 |
| Before: JavaScript | 4 |
| Before: TypeScript | 4 |
| Before: Node.js | 3 |
| After: React | 3 |
| After: Git | 2 |
| After: AWS Lambda | 2 |
| After: GraphQL | 2 |
| After: docker | 2 |
| After: TypeScript | 2 |
| After: DynamoDB | 1 |
| After: python | 1 |
Roles most likely to require Supabase
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Founding Product Engineer | 9 | 37.5% |
| Founding Engineer | 26 | 20.5% |
| Full-Stack AI Engineer | 3 | 14.3% |
| Agent Engineer | 2 | 9.5% |
| Cloud Solutions Architect | 6 | 7.5% |
| Product Engineer | 18 | 3.7% |
| GTM Engineer | 4 | 3.3% |
| Full-Stack Developer | 5 | 2.9% |
| CTO | 1 | 2.3% |
| Full Stack Web Developer | 1 | 2.0% |
Roles with the most Supabase postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 42 | 17.3% |
| Founding Engineer | 26 | 10.7% |
| Product Engineer | 18 | 7.4% |
| Full Stack Engineer | 11 | 4.5% |
| Founding Product Engineer | 9 | 3.7% |
| Full-Stack Engineer | 8 | 3.3% |
| ML Engineer | 7 | 2.9% |
| AI / Agent Engineer | 6 | 2.5% |
| Cloud Solutions Architect | 6 | 2.5% |
| AI Engineer | 5 | 2.1% |
Top companies posting jobs requiring Supabase
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| CLERA | 91 |
| Appnovation | 24 |
| Air Apps | 5 |
| Enpal | 4 |
| Zan - Zari Group | 4 |
| CAS | 3 |
| Kubikware | 3 |
| The Flex | 3 |
| Oowlish Technology | 3 |
| Nox Metals | 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 Supabase
| Name | Postings | Share |
|---|---|---|
| San Francisco | 45 | 18.5% |
| Munich | 26 | 10.7% |
| New York City | 19 | 7.8% |
| Berlin | 9 | 3.7% |
| Copenhagen | 7 | 2.9% |
| São Paulo | 6 | 2.5% |
| Toronto | 6 | 2.5% |
| London | 5 | 2.1% |
| Detroit | 3 | 1.2% |
Skills commonly paired with Supabase
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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 Supabase by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Supabase postings by all Supabase 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
- 5e6f9d8feaea9329
- 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.
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