Full-Stack Engineer (React Typescript) 100

Matchspace Music is a Swiss scale-up helping music teachers grow and manage their teaching business. We are building from the ground up and need one engineer to own its entire technical foundation from day zero.

The stack is TypeScript / / React / Supabase / Postgres / Stripe. The team is deliberately small. You will ship production-quality software using agentic AI coding tools and close collaboration with CPO and QA engineer.

If you are a strong TypeScript / engineer who genuinely works inside your AI coding environment every day with a configured setup real shipped projects and clear opinions on where to trust the agent and where to hold it accountable we want to talk.

Tasks

What You Will Own

• Architecture and engineering execution from day zero on a greenfield TypeScript / / Supabase build.
• Agentic AI tooling as your primary development method: you set the guardrails review all output with the same rigour as hand-written code and are fully accountable for everything that ships.
• Postgres data model design authentication multi-tenant isolation and row-level security.
• Stripe integration: Connect Billing Checkout and webhook handling.
• Public marketplace and teacher-facing product features.
• Tight collaboration with the QA Engineer on test-driven workflows and Playwright coverage.
• Clear communication of technical trade-offs to product and business stakeholders.

How We Work

The product team is intentionally small:

• Product Lead / CPO owns scope acceptance criteria product planning scrum and product trade-offs.
• QA Engineer owns risk-based test plans Playwright coverage and agentic test-driven design.
• Full Stack Engineer (you) owns architecture implementation all technical decisions and rigorous accountable use of agentic development.

Requirements

Must-Haves

• Strong TypeScript React and production experience you have built and shipped real applications.
• Solid relational database design skills (Postgres).
• Experience with multi-tenant data isolation authentication and security-sensitive patterns.
• Practical experience integrating payment systems (Stripe or equivalent complexity).
• Able to operate as the sole engineer in a small startup: own architecture make decisions keep scope tight and ship.
• Clear written and verbal communication; comfortable explaining technical decisions to non-technical stakeholders.
• Demonstrated daily use of agentic AI coding tools (Cursor Windsurf Claude Code Warp or equivalent).
• Genuinely progressive AI mindset. You adopt latest AI trends and are measurably faster with AI than without it. You can show your setup and walk us through how you work.

Strong Plus

• Supabase (Auth Storage Row-Level Security).
• Stripe Connect: marketplace flows seller payouts webhook idempotency.
• NestJS for structured backend services as complexity grows.
• Algolia: search indexing geospatial search or local marketplace discovery.
• Sentry: error monitoring alerting and production observability.
• Mapbox or Google Maps: geocoding location search and map-based features.
• Durable background job tooling (Trigger Inngest pg-boss BullMQ or similar).
• SEO-sensitive public pages with App Router.
• Experience in edtech marketplaces creator tools bookings or SaaS commerce.

This Is a Strong Fit If You

• Own the full stack frontend backend database integrations by yourself.
• Ship output that is functionally tight and visually polished.
• Prefer simple explicit modules over accidental complexity.
• Treat tests and observability as part of shipping not as cleanup.
• Have an active demonstrable agentic AI workflow you use every day.
• Thrive in a small startup environment where requirements evolve and you drive the solutions.

This Is Probably Not the Right Fit If You

• Specialise in only frontend or only backend.
• Are skeptical of or resistant to working with agentic AI as a core daily tool.
• Need highly detailed specifications before making progress.
• Want to introduce heavy abstractions or microservices before the product needs them.

Benefits

Why This Role Matters

This engineer will shape the technical foundation of Matchspace Musics next product chapter. The right person will not just implement tickets they will turn a complex marketplace history into a focused modern platform that can scale from validation into a sustainable platform.

• Greenfield ownership from day zero: you will shape the architecture codebase and engineering standards for a brand-new product not maintain legacy.
• Real autonomy high trust: you are the technical build lead and decision maker working directly with the Product Lead (CPO) and QA.
• Modern stack real product complexity: TypeScript React Supabase Postgres Stripe (marketplace billing webhooks).
• AI-first engineering culture: agentic AI coding tools are a first-class part of how we build; we value engineers who work faster with AI while keeping high quality.
• Remote-first with sane collaboration: work remote with CET 2h overlap (or relocate) in a small team with fast feedback loops.
• High product impact: your work directly helps music teachers run and grow their business; you will ship features that quickly reach real users.
• Strong quality partnership: dedicated QA support and a test-driven mindset (including Playwright coverage) baked into how we ship.
• Fast and transparent process: clear steps quick turnaround and direct communication throughout hiring and onboarding.

Compensation & Perks

• Competitive salary with equity (PSP) plan.
• 25 days holidays per year.
• Remote-first. Team-events and in-person meetings every ca. 3 weeks in Zurich.
• Relocation help under specific conditions possible.

Why This Role Matters

This engineer will shape the technical foundation of Matchspace Musics next product chapter. The right person will not just implement tickets they will turn a complex marketplace history into a focused modern platform that can scale from validation into a sustainable platform.

Application Questions

Please answer briefly and concretely in few sentences or bulletpoints in your cover letter:

1. What is the most end-to-end full stack project you have built What did you personally own
2. Walk us through your current AI coding setup tools configuration and a real example of something you shipped with it. Where do you draw hard limits
3. Describe a payment multi-tenant or security-sensitive system you built. What were the main risks and how did you handle them
4. Have you built an MVP or greenfield product before What trade-offs did you make
5. When could you realistically start and what working arrangement are you looking for