Product Manager - Infrastructure

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 Product Manager, Infrastructure to own the platform our customers and internal teams depend on — the APIs, SDKs, deployment surfaces, and infrastructure primitives that make Cartesia's foundation models usable in production. Your customers are engineers, and your work shows up in design docs, deal cycles, and CTO conversations as much as it does in product specs. You'll partner with engineering, research, and GTM to ship a platform that earns enterprise trust, and to run the enterprise motions that come with it.

• Own the roadmap for Cartesia's infrastructure platform — APIs, SDKs, deployment models, and the developer experience layered on top

• Translate enterprise deal signals into a coherent product direction; separate one-off asks from real platform investments

• Run customer technical reviews, partner with FDE/ SE/ olutions teams inside live deals, and debrief with CTOs to convert technical wins into closed business

• Make and defend architectural tradeoffs (latency vs. throughput, abstraction level, deployment model) in design reviews and PRDs

• Write the PRDs, GTM primers, deprecation comms, and competitive teardowns that the company runs on

• 5–8 years in product, including 3+ years in infrastructure, developer tools, or AI/ML platform PM — shipping against a real engineering roadmap

• Strong technical fluency: you can read a design doc, run an architecture review, and hold opinions on tradeoffs from first principles. You don't ship code, but you debug in conversation

• Has owned a multi-tenant platform, dev tools product, or B2B infra product where the customer is also an engineer

• Enterprise fluency: comfortable in a technical review, a sales pitch, and a CTO debrief — and able to translate between all three. Has worked alongside FDE/SE /Solutions teams in active deal cycles

• Track record of saying no with clarity, not just yes — and shipping iteratively rather than waiting on a perfect spec

• Clear, structured writer: your PRDs, GTM primers, and deprecation comms all land. Fluent with modern AI tools (Claude, Cursor, etc.) as a force multiplier

• Voice/real-time /streaming systems experience (LiveKit, Twilio, Daily, Pipecat, telephony / SIP)

• On-prem, VPC, or air-gapped deployment experience; familiarity with customer compliance reviews

• GPU/inference-stack literacy (vLLM, TensorRT-LLM, SGLang, KV cache, GPU SKUs)

• Prior experience as a founding/early platform PM at a Series A/B AI infra 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.