Solutions Architect

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering. RESPONSIBILITIES Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. Own benchmarking an [... source excerpt omitted ...] next steps. Acting as the “ringleader” or project manager for POCs. Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. Technical depth to scope solutions, without needing to write production code. Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE Experience running or supporting benchmarks for ML inference [... source excerpt omitted ...] tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. BENEFITS Competitive compensation, including meaningful equity 100% coverage of medical, dental, and vision insurance for employee and dependents Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Fertility and family-building stipend through Carrot Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learnin