Cartesia is pioneering the next generation of AI with a focus on interactive intelligence. The Solutions Engineer will be responsible for leading technical aspects of enterprise adoption of Cartesia's voice AI infrastructure, partnering with Account Executives to ensure successful integration and customer satisfaction.
Responsibilities:
- 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