Software Engineer, Product

Reposted 3 Days Ago
San Francisco, CA, USA
In-Office
180K-250K Annually
Mid level
Artificial Intelligence • Software
The Role
The Software Engineer, Product will build and scale platform infrastructure for Cartesia's voice AI products, focusing on API and conversational AI systems.
Summary Generated by Built In
About Cartesia

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.

About the Role

Cartesia is hiring a Software Engineer, Product to build and scale the platform infrastructure that powers Cartesia's voice AI products. You'll code composable platform components that accelerate feature delivery across our API and conversational AI systems.

Your Impact
  • Build and scale product platform components to support Cartesia's growth.

  • Own critical product infrastructure end-to-end, such as realtime infra.

  • Work alongside product teams to identify shared needs and build platform primitives that multiply their velocity.

What You Bring
  • 3+ years of experience as a backend or platform engineer building scalable systems.

  • You think in terms of customer outcomes, not just technical requirements.

  • Enjoy full ownership of your work, and effectively navigate ambiguous problems to deliver results.

  • Strong judgment on when to move fast and when to invest in scalability.

  • Comfort across our stack: TypeScript on the frontend, Python + Go on the backend. You don't need to be an expert in all three, but you're not afraid of any of them.

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

    • Experience with PostgreSQL, Redis, NATS, or similar data and messaging systems at scale.

    • Familiarity with real-time streaming systems, or WebRTC.

    • Background in observability infrastructure (Datadog, Prometheus, OpenTelemetry) and building internal tooling for debugging production systems.

More Details

🏢 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.

🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.

🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.

🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.

Our Benefits (US Employees Only)

💰 Compensation. Competitive base salary alongside attractive equity package.

🩺 Health Insurance. Fully covered medical insurance along with dental and vision for you and your family.

🏦 401(k)

🚆 Commuter Allowance. A monthly stipend to help you get to and from the office.

🏖️ Flexible PTO. Take as much time as you need to recharge your batteries.

🍲 Meals & Snacks. Lunch, dinner and plenty of snacks, provided daily.

🦖 Your own personal Yoshi.

Skills Required

  • 3+ years of experience as a backend or platform engineer
  • Strong judgment on when to move fast and when to invest in scalability
  • Comfort across our stack: TypeScript on the frontend, Python + Go on the backend
Am I A Good Fit?
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