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Cartesia is building real-time multimodal intelligence, pioneering state-of-the-art voice models and the products that make them useful. The company was founded by PhDs from Stanford AI Lab who invented State Space Models (SSMs), a new primitive for training efficient, large-scale foundation models. The founding team combines deep expertise in model innovation and systems engineering with a design-minded product engineering approach.
In this role, you will build product experiences around Cartesia's voice models and core surfaces like Voices and Playground. You'll own work end-to-end, directly shaping the quality, usability, and developer experience of how customers discover models, understand their capabilities, and deploy them to production.
Key responsibilities include:
- Building polished, intuitive experiences across Voices, Playground, and adjacent product surfaces that translate powerful model capabilities into workflows customers can understand and use
- Owning customer problems end-to-end, from discovery and prototyping through implementation, launch, measurement, and iteration
- Improving the speed and confidence with which customers can evaluate, configure, and integrate Cartesia's voice models
- Defining how product quality is measured by building analytics, evaluations, experiments, and regression tracking that reveal where experiences succeed or break down
The company is in-person based in San Francisco, London, and Bangalore, with a culture focused on shipping fast, maintaining high quality and design standards, and supporting team members with the resources they need to succeed.
REQUIREMENTS:
- Experience building and operating customer-facing software in production, ideally at a high-growth startup (emphasis on what you've shipped rather than strict years of experience)
- Strong product instincts: think in customer outcomes, usability, quality, and developer experience with opinions on what to build and why
- Full-stack range and ability to own a product surface across frontend, backend, APIs, data, and operational concerns
- Fluent use of coding agents and a habit of keeping pace with the frontier
- Clear communication with technical and non-technical audiences, strong cross-functional partnership, and sharp presence in product and design reviews
NICE-TO-HAVES:
- Experience building developer tools, creative tools, playgrounds, or API-adjacent products
- Experience building AI-powered products and translating model capabilities, limitations, and quality tradeoffs into understandable user experiences
- Strong frontend craft with React and TypeScript, including polished, highly interactive workflows
- Experience with audio, media, real-time systems, product analytics, experimentation, or evaluation infrastructure
