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Leads Supabase’s Technical Account Management function, including hiring, coaching, coverage planning, account health, escalations, and cross-functional alignment. Oversees named and partner-mapped accounts, ensures technical ownership, adoption, proactive architecture guidance, and consistent account planning. Represents portfolio-wide customer feedback to Engineering, Product, Sales, Success, and Partnerships while managing retention risks and technical escalations. The role combines direct leadership on strategic accounts with development of the broader TAM team.

As a Postgres Deployment Engineer, you will manage PostgreSQL lifecycles, optimize CI/CD systems, resolve production issues, and mentor teammates. You will focus on deployment stability and enhance developer tools.

You'll manage the networking layer of Supabase's Postgres platform, optimizing connection pooling and building advanced query routing systems for multi-tenancy and scale.

Responsible for designing and implementing authentication features in Go and TypeScript, enhancing Auth architecture, and collaborating with teams to improve user experience.

Build and maintain Supabase Lite: implement TypeScript-native backend compatible with PostgREST/Auth and @supabase/supabase-js, extend SQLite support, own CLI/tooling and upgrade paths, ensure compatibility with hosted Supabase, engage partners and open-source community.

Lead and grow remote engineering teams across Supabase, owning people management, hiring, roadmap and delivery, incident command, SLOs, and cross-team coordination while driving engineering quality and async communication.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.

Provide developer-focused support for Supabase users: triage and resolve support cases, reproduce issues, create test cases, escalate to engineering, monitor GitHub channels, and identify tooling improvements to reduce time-to-fix.