Solutions Engineer, Pre-Sales

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 We’re hiring our first Solutions Engineer to help turn Cartesia’s voice AI infrastructure into enterprise adoption. Our customers are building real-time voice agents, call automation systems, and AI workflows that depend on low latency, reliability, and production-grade integration. As a Solutions Engineer, you will partner closely with Account Executives to lead the technical side of strategic deals — from initial discovery through proof-of-concept and technical validation. You will operate at the intersection of engineering and go-to-market, translating customer workflows and infrastructure constraints into clear architectural paths forward. This is a high-agency, hands-on role. You’ll write code, build demos, prototype integrations, and run technical deep dives with engineering leaders. You won’t inherit a mature playbook — you’ll help build it by creating demo environments, documentation, and repeatable processes that scale as we grow. Solutions Engineers are critical to our growth: deals close because the architecture is sound, the integration works, and the customer trusts us to power real-time systems in production. YOUR IMPACT - Own the technical sales cycle – Lead discovery, architecture discussions, API deep dives, and integration planning across strategic enterprise deals. - Deliver tailored, high-impact demos – Translate Cartesia’s voice AI into customer-specific workflows that reflect real latency and infrastructure constraints. - Design and deliver high-impact proofs-of-concept –Scope and test integrations that confirm performance, batching, throughput, and deployment assumptions before contracts are signed. - Act as a trusted technical advisor – Build credibility with engineering and product leaders by understanding their stack and real-time system requirements. - Lead infrastructure conversations – Reason through GPU sizing, scaling models, cloud vs. on-prem tradeoffs, and deployment patterns for voice and real-time AI systems. - Unblock pre-sale integrations – Debug API usage, prototype workflows, and resolve technical objections that would otherwise stall momentum. - Translate field signal into product leverage – Surface recurring integration patterns, performance gaps, and feature needs to Engineering and Product. - Build the SE foundation – Create reusable demo environments, documentation, and playbooks that scale our enterprise motion. - Support strategic deals – Work closely with Account Executives and founders as a technical co-pilot in complex, multi-stakeholder sales cycles. WHAT YOU BRING - 3–7+ years of experience in Solutions Engineering, Sales Engineering, or developer-facing technical roles at a high-growth B2B SaaS or infrastructure company. - Demonstrated ability to scope and execute POCs end-to-end — gathering requirements, building working integrations, and presenting results clearly. - Strong engineering foundation — you can write and debug code (Python preferred), understand APIs deeply, and integrate technical products into real-world systems. - Comfort discussing cloud and containerized environments (AWS, GCP, Kubernetes), including