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Build and maintain Supabase JS/TS SDKs used across runtimes. Author libraries, manage public repos, triage issues, review PRs, keep CI/release automation healthy, own type experience, support realtime/WebSocket semantics, ensure cross-runtime compatibility, write RFCs, docs, and migration guides, and improve SDKs for AI coding agents.

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.

Build and ship frontend features end-to-end for Supabase Studio and marketing/docs sites. Launch 0→1 products, iterate from user feedback, and own quality pipelines (types, tests, CI, accessibility, visual/regression, bundle budgets). Work across the stack publicly, tighten tooling for AI agents, add automated checks to prevent regressions, and operate autonomously in an async, remote environment.

Own and improve developer experience from local setup to production: stabilize reproducible dev environments, optimize CI/build/test pipelines, integrate AI-assisted workflows, measure productivity (DORA), improve code review and test infrastructure, and build tools and dashboards that reduce cycle time and friction for engineers.

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.

Join Supabase as a Software Engineer to own the Terraform provider, improving reliability, driving technical strategy, and creating documentation for seamless IaC workflows.

The Edge Functions Engineer will evolve the Supabase Edge Runtime, implement monitoring and optimizations, manage features, and work closely with the Deno open-source teams.

Join Supabase's new performance team to identify and fix performance bottlenecks across the stack—from query optimizer to kernel and cloud infra. You will analyze live systems, partner with DB and infra teams, build tooling and methodologies, improve observability, and enable teams to self-serve performance improvements that yield measurable production gains.

Own and build benchmarking, profiling, and load-testing systems to detect regressions, define realistic benchmark workloads, establish baselines and regression gates, triage performance issues, and enable teams to self-serve performance testing and publish repeatable performance results.