Enterprise Engineer

Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device.

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.

We’re hiring an Enterprise Engineer to advance our mission of building real-time multimodal intelligence by delivering agentic voice AI solutions directly into production for our customers.

• Architect and build enterprise-grade systems such as On Prem Deployments & Agent Infrastructure

• Own the design and delivery of durable, first-class platform capabilities shaped by enterprise needs — the abstractions, core changes, and infrastructure that Cartesia's largest customers build on top of

• Turn recurring patterns from customer deployments (gaps, incident themes, eval results) from one-off workarounds into scalable, long-term platform primitives

• Define and raise the bar for reliability, security, and operational maturity across Cartesia's enterprise surface area

• You'll have significant ownership over the core capabilities that determine whether Cartesia can scale across the most demanding enterprise environments globally

• Strong backend engineering fundamentals — you've designed and shipped infrastructure, platform services, or core abstractions that other teams build on top of

• Proficiency in Go and/or Python

• You think in terms of long-term maintainability and modularity

• You’re good at collaborating cross-functionally and translating customer feedback into actionable product and platform improvements

• (Plus) Experience with enterprise-grade concerns: deployment in customer-managed infrastructure (VPCs, on-prem), compliance regimes, observability, multi-tenancy, and security hardening

🏢 We’re an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day.

🚢 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.