Head of AI Native Operations
Supabase · Posted Nov 2
An open source Postgres development platform offering hosted database, authentication, and storage services
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About the role
Supabase is the Postgres development platform, providing an integrated backend including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search, built by a born-remote, open-source-first team. The company is building an AI-native internal operating system where agents carry operational load end to end, and is standing up a new central team to build that platform and run it in production. This hands-on leadership role owns the agent platform architecture, evals, observability, and safety controls, and leads a team of senior individual contributors extending the platform and driving adoption across teams.
What you will do
- Own the agent platform architecture: The harness and orchestration layer and connectors into company systems, shared context and memory, and the path from prototype to production.
- Catch regressions before they ship: Model, prompt, and tool changes can’t ship until they pass the evals. When a new model comes out, you know within hours whether to adopt it.
- Make every agent observable: Every run and every decision is traced. For any agent at any time, you can answer what it did, why, what it cost, and how its quality is trending.
- Own safety and trust: Design the controls that let agents act without a human in the loop: least-privilege credentials, hard policy limits, escalation thresholds, audit logs, sandboxing, and prompt-injection defenses.
- Replace workflows, don’t assist them: Pick the workflows agents can fully own today and take them to production.
- Turn wins into a platform: Package what works into reusable components, templates, and eval harnesses so other teams can ship their own production agents without starting from scratch.
- Build and direct the team: Hire and grow senior ICs, review their designs and pull requests, and hold the quality bar.
- Measure what matters: Track workflows automated, eval pass rates, cost per run, and work absorbed against the hiring plan.
Skills used in this role
What the employer is looking for
- A Point of View on Where Automation Wins: You have a thesis about how AI and automation change the way a company operates, and it comes from building, not reading. You can look at a business and say which workflows agents can own today, which they will own in 12 months as models improve, and which still need people, and why. You defend that view with evidence from systems you have shipped, and you update it when the evals tell you to.
- Eval-Driven: You don’t trust an agent because the demo looked good. You trust it because it passes a test set of real cases, and you know which cases it fails. When anything changes, your first question is “what do the evals say?”
- Inversion Thinking: Left alone, an autonomous system tends to fail quietly, or people route around it. So the first question about any agent isn’t “does it work on the happy path?” but “how will this break, and how will we know?” The design follows from that answer: what the agent is never allowed to do, what it escalates, and which alert fires when quality drifts.
- Recursive Thinking: Every system you build should produce the evidence that grades it. An agent isn’t done when it works. It’s done when it tells you, without you in the loop, that it has stopped working.
- Hands-on agent building: Have personally designed and built autonomous agent or LLM systems that ran in production and that others depended on. Prototypes, demos, and configuring a vendor tool don’t count. You don’t need to be a career software engineer, but you must have built these systems yourself.
- Architecture depth: Can explain how the pieces fit together (orchestration, tool and data access, context and memory, tracing, evals, guardrails, deployment), with opinions on current frameworks.
- Security judgment: Have shipped agents that take real actions with real permissions, and designed the controls that made that safe.
- A tested point of view: Can argue, with examples from your own builds, where autonomous systems create real business leverage and where they don’t yet.
- Technical leadership: Have led senior builders and set the quality bar through design and code review.
Preferred qualifications
- Have replaced a human-run business workflow (finance, operations, support, release management) end to end with an autonomous system.
- Are native to Git, Markdown, and pull requests, and comfortable reading and writing Python or TypeScript.
- Have taken an internal platform from zero to adoption by teams you did not control.
- A software engineering background is a plus, but not required.
Benefits and support
- Fully Remote — WeWork membership or co-working allowance usable anywhere in the world
- ESOP (equity ownership) for every team member
- Tech Allowance for laptop, monitor, headphones and work environment setup
- Health Benefits — Supabase covers 100% of health insurance for employees and 80% for dependents
- Annual company off-sites in a new city each year
- Flexible Work — asynchronous operation with trust to manage your own time
- Professional Development — annual education allowance for courses, books, and conferences
About Supabase
Supabase is an open-source Firebase alternative built on top of PostgreSQL, providing developers with a hosted database, authentication, instant APIs, real-time subscriptions, and storage. The platform simplifies application development by combining relational data capabilities with serverless edge functions and vector search features. Widely adopted by modern developer ecosystems and AI agent tools, Supabase powers scalable backend infrastructure for enterprises and independent builders alike.
- Industry
- Open Source
- Company size
- 350+ employees
- Founded
- 2020
- Location
- Singapore, Singapore
- Funding stage
- Series F
Funding
Series F · $1B+ raised
- 2026-06-04Series F$500M
Leadership
Co-founder & CEO
Co-founder & CTO