Product Engineer, Surfaces

Our mission is to architect AI that learns from and interacts with the world like humans do.

We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.

We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.

Cartesia is hiring a growth-minded Product Engineer, Surfaces to ship high-quality, model-powered experiences across Cartesia’s surfaces—web, SDKs, docs, and APIs—in collaboration with our GTM, model serving, research, and product teams.

• Ship developer-first products through a combination of talking to users and first-principles thinking.

• Bring Cartesia’s latest models to the world by rapidly building high-performance interfaces to serve them to customers.

• Develop measures to rigorously evaluate the outcome of your work and iterate based on feedback.

• Collaborate cross-functionally with GTM, model serving, research, and product to craft surfaces that grow Cartesia and multiply our work.

• 2+ years of experience in full-stack development.

• Proficient in TypeScript, with experience building modern web applications using React.

• Deep intuition about what makes for good developer experience.

• Backend expertise in Python or Go with a focus on APIs.

• Proven experience shipping and iterating on a user-facing product in a fast-moving organization.

• Each of these is a plus, but not required to qualify for the role.

  • Former founder at a startup or early engineer who shipped a product from zero to one.

  • Experience building voice agents and voice-enabled applications.

  • Active online presence on X/Twitter, LinkedIn, or your own blog.

  • Experience working in close collaboration with the GTM or research functions at an AI company.

🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore We love being in the office, hanging out together, and learning from each other every day.