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AI Product Engineer

San Francisco, πŸ‡ΊπŸ‡Έ United States

$14,000 – $22,000/monthFull-timeOnsiteSeniorVisa sponsorshipAI budget: $300/monthPosted 9d ago
TypeScriptReactPythonState Space ModelsMambaH-Netscoding agentsproduct analyticsexperimentationstreaming audio

About Us

Cartesia builds real-time multimodal intelligence: fast, state-of-the-art voice models and the products that make them useful. We pioneered State Space Models (SSMs) at Stanford AI Lab and now ship the fastest streaming transcription and voice synthesis models on the market, ranked #1 on both the Speech Arena and Speech-to-Text leaderboards by Artificial Analysis. Our models power production voice agents for finance, healthcare, and government teams around the world, and we deploy them across cloud, on-premise, and on-device.

About the Role

We started as a research lab and now we're bringing that research to customers through intuitive tools for creating, testing, and shipping with voice. In this role, you'll build the product experiences around Cartesia's models β€” working across Voices, Playground, and other core surfaces as priorities evolve. You'll own work end-to-end and directly shape the quality, usability, and developer experience of how customers discover our models, understand what they can do, and put them into production.

What You'll Do

  • Build polished, intuitive experiences across Voices, Playground, and adjacent product surfaces, turning powerful model capabilities into workflows customers can understand and use.
  • Own customer problems end-to-end, from discovery and prototyping through implementation, launch, measurement, and iteration.
  • Improve the speed and confidence with which customers can evaluate, configure, and integrate Cartesia's voice models.
  • Define how product quality is measured, building analytics, evaluations, experiments, and regression tracking that reveal where experiences succeed or break down.
  • Ship fast using coding agents and keep pace with the frontier of AI tooling.

Responsibilities

  • Experience building and operating customer-facing software in production, ideally at a high-growth startup. We care more about what you've shipped than strict years of experience.
  • Strong product instincts: you think in customer outcomes, usability, quality, and developer experience, and you have opinions on what to build and why.
  • Full-stack range and the 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 a sharp presence in product and design reviews.
  • At least five years of experience shipping real products.

Tech Stack & Skills

  • Languages: TypeScript, Python
  • Frontend: React, modern interactive UI patterns
  • Backend & APIs: REST/GraphQL APIs, cloud infrastructure
  • AI/ML: State Space Models (SSMs), Mamba, H-Nets, coding agents (Codeium/Codex), model evaluation and benchmarking
  • Data & Analytics: product analytics, experimentation, regression tracking
  • Audio & Real-time: streaming transcription, voice synthesis, real-time systems

Compensation

  • Salary: $14,000 – $22,000/month (US-based roles, plus attractive equity)
  • Benefits: Fully covered medical, dental, and vision for you and your family; 9 weeks paternity and 12 weeks maternity leave; 401(k); monthly commuter stipend; flexible PTO; daily meals and snacks

Final Note from the Founder

We ship fast, and all of our work is novel β€” execution speed is paramount. We have a high bar, and we don't sacrifice quality or design along the way. If you're the kind of engineer who uses coding agents to move fast but still cares deeply about how the product feels in a customer's hands, I'd love to talk. We're an in-person team in San Francisco, London, and Bangalore, and we genuinely enjoy working side by side. Visa sponsorship is available on a case-by-case basis β€” just let us know your situation early and we'll figure it out together.

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