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Supabase is seeking a Head of AI Native Operations to build and run an AI-native internal operating system across the company. This is a new central function that will embed AI agents into operational workflows, replacing manual process enforcement with automated systems.
You will own the complete maturity model framework—the rubric, scoring methodology, evidence standards, and appeals process—that assesses all teams. You'll conduct assessments directly with department heads, translating them into written commitments with named owners and dates. You will define company-wide standards for work tracking, decision-making, tooling adoption, and documentation lifecycle, then ensure these standards are followed through automated enforcement rather than manual chasing.
Key responsibilities include: fixing the decision process by defining proposal stages and resolution mechanisms; running the operating cadence including automated weekly reporting, blockers-and-decisions forums, monthly leadership reviews, and quarterly board formats; executing private-then-public assessment rollouts; wiring standards into onboarding; building and directing a small team of two senior individual contributors (one on platform, one on enablement); and measuring whether AI agents can absorb coordination work more cost-effectively than a traditional program office.
Your working philosophy centers on recursive thinking (every standard you write becomes input to enforcement mechanisms that produce grading evidence), inversion thinking (designing standards by asking what will make people route around them, then preventing that), and AI-native execution (directing agents rather than doing work by hand, reviewing agent workflows and data models for quality).
Success means standards land without chasing, every team has an evidence-backed assessment with a written path forward, transparency dates hold firm, net meeting time decreases by year-end, and your two reports operate independently against written charters.
Supabase is a fully remote, ~400-person company across 60+ countries, having raised over $1B including a $500M Series F. The company is the Postgres development platform offering Database, Auth, Storage, Edge Functions, Realtime, and Vector Search—all deeply integrated for developer experience.
REQUIREMENTS (Must-Have):
- Scale & Cadence Experience: Have run operating cadence and program discipline at a company of 200–800 people while remote and async.
- Agentic AI Expertise: Have personally built agentic AI workflows that others depended on; can read and review agent workflow definitions, data models, and pull requests to judge quality.
- Standard Adoption Track Record: Have taken a standard from zero to company-wide adoption without direct authority over adopters, with a clear mechanism that made it stick.
- Async Communication Skills: Exceptional writer who leverages documents as enforcement mechanisms.
- Accountability: Comfortable being graded publicly by the system you build alongside every other team.
STRONG SIGNALS (Preferred):
- Have run a maturity model or capability assessment across teams you did not own, published results, and driven organizational reallocations.
- Native to Git, Markdown, and Pull Requests (engineering or technical operations background).
- Have permanently eliminated a recurring meeting by replacing it with an automated system.
- Deep software engineering background (not required but a plus).
