Founding Backend Engineer

Mozart AI is music's first creation network, where the world goes from listening to music, to making it together, to being known for it. 1.5 billion people can play an instrument. We're building the products that turn them into artists, and turn their fans into the next ones. Our customers love us, and include everyone from grandmas using Vibe sessions to Grammy winners using the Studio. Music is having its first explosive moment of creation-driven consumption, and we aspire to shape that world to preserve the social and fun elements of music creation. We've raised over $7M from Balderton Capital and several Silicon Valley legends who have backed companies like Uber, Spotify, Reddit, and other massive consumer outcomes. We're a small, talent-dense team building the future of music from our London office. We operate with high ownership, high velocity, and low-ego collaboration — specialist generalists who work hard, learn fast, and ship relentlessly. We care deeply, move fast, and we're here to build something that outlives us.

About the Role

Mozart combines music creation, real-time collaboration, and a creator community in one product, and the backend has to hold all of it together as usage scales. You'll build the backend foundation that carries Mozart from hundreds of thousands of users to millions, and you'll do it while the product changes every week. This is an intense, in-person role, built for people who want massive impact and grow their careers faster than anywhere else.

What You'll Do

• Own the API surface. Design the typed, end-to-end contracts that web, mobile, and internal admin tooling consume.
• Build the media generation backbone. Design how every AI job moves from request to result across many internal and external providers and integration styles, and how the steps that follow chain together without ever losing a job.
• Run media at scale. Upload, transcoding, storage, and CDN delivery for audio, video, and images.
• Design the core data model. From the state of a DAW session to the social graph around it, build schemas that are deeply relational, versioned, and consistent across every client.
• Ship real-time collaboration. Presence, shared state, and conflict resolution for multiple people editing the same session at once.
• Own payments and monetization. Stripe and RevenueCat subscriptions, pay-as-you-go credits, gifting, refunds, and the edge cases between platforms.
• Make the platform observable and safe. Traces, logs, and metrics for running the system, plus the durable data we use to analyse and evaluate the quality of our generations.
• Build CI/CD for agents. Per-PR environments, seeded fixtures from a single user to a full collaborative session, and test infrastructure that lets automated suites and AI agents verify changes before merge.
• Design for constant change. Set up how we allow everyone in the team to constantly iterate on the user experience at high speed.

What We’re Looking For

• APIs with multiple consumers. You have designed and maintained contracts used by web, mobile, and internal tools on different release cycles.
• Multi-step, multi-service systems. You have built workflows that span queues, callbacks, internal and external providers.
• Complex domain models on live data. You have modelled a deeply relational domain with history and concurrent edits.
• Media pipelines. You have built upload, processing, and delivery for audio or video at a scale where storage and bandwidth were real costs.
• Billing and entitlements. You have worked on subscriptions, credits, or refunds and understand the failure modes around charging and crediting.
• AI-native. You work with coding agents daily and design environments and tests so an agent can verify a change on its own.
• Ownership, velocity, low ego. You care about outcomes after release, not just merges.

5+ years of professional experience.

Nice-to-Haves

• Real-time collaboration systems (CRDTs, presence, shared state).
• Per-PR environments or episodic testing.
• Building evaluation datasets or quality pipelines for generative media.
• Social feeds, search, or recommendation systems.
• Server-side rendering and multi-platform delivery.