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Product Manager - AI

Supabase - Remote

Posted Jun 7, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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Market context

U.S. role benchmark (BLS OEWS)
$102,662 U.S. median for this role
Projected growth (BLS Employment Projections)
+5.4% - Faster than average

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Product From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026
Work mode
Remote From the posting source checked Jun 20, 2026
In-office days
0 days From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Product Manager - AI Remote ABOUT THE ROLE: Supabase is the backend more than 7 million registered developers reach for when they want to ship fast: database, auth, storage, and APIs in one platform. AI coding assistants now account for a meaningful share of the development happening on Supabase: agents writing migrations, provisioning infrastructure, and querying databases through the MCP server https://supabase.com/docs/guides/ai-tools/mcp and agent skills https://supabase.com/docs/guides/ai-tools/ai-skills. When agents have the wrong context or defaults, the result is a broken schema or a misconfigured policy. Getting the abstractions right is the whole job. You own the MCP server, agent skills, and the evals that tell you whether any of it is working. WHAT YOU'LL BE RESPONSIBLE FOR: - Rethink the PM job when most users are agents. Defaults, error messages, breaking changes, naming, deprecations, docs: every product decision behaves differently when an AI coding tool sees it before a human does. Apply that lens to your own roadmap and to product decisions across Supabase. - Talk to customers across the full spectrum. Indie developers shipping side projects, startups choosing an AI stack, enterprise teams running agents in production. Find the blockers and bring them back to the roadmap. - Own the problem statement and requirements behind every agent tooling bet. Define what we're building and why before engineering picks up a spec. Capture the evidence behind each decision, name the constraints, and give the team a target it can hit. - Decide what gets built, what gets deferred, and what gets

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