Enterprise Engineer

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 (SSMs), a new primitive for training efficient, large-scale foundation models.

About the Role

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.

Your Impact

• 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
• Significant ownership over the core capabilities that determine whether Cartesia can scale across the most demanding enterprise environments globally

What You Bring

• 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

Nice-to-Haves

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