Forward Deployed Engineer

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.

• Act as each account's de facto CTO on Baseten, with final accountability for how their workloads are designed, run, and scaled.
• Take customer objectives from vague to shipped: frame the problem, define the spec and success criteria, build the PoC, and carry it through to production quickly, using the right tools for the problem.
• Design the evals and benchmarks that isolate where quality or performance falls short, then close the gap yourself, whether that means optimizing inference, improving the model through post-training, or reworking the eval itself.
• Be the first responder to mission-critical failures including triage, owning the fix directly or route to the owning team and stay accountable until it ships.
• Build internal systems so that each engagement is faster than the last. This includes tooling and automation for eval and deployment infrastructure, and the recipes and reference implementations that make the product more self-serve.
• Shape the product itself, channeling what your accounts need into the roadmap and shipping fixes and features into Baseten's codebase yourself.
• Do all of this across multiple accounts at once, sequencing the work, pulling in the right people at the right time, and keeping customers and internal stakeholders aligned on status and risk.

• Minimum 1-2 years of software engineering experience, shipping and maintaining code in large production systems, ideally with breadth across the stack
• Experience debugging complex production issues - working through logs, metrics, and traces to root-cause problems in unfamiliar systems
• Confidence owning ambiguous technical problems. This includes triaging, making decisions under uncertainty, and knowing when to pull in other engineers who own the underlying systems
• Motivation beyond pure engineering. An interest in wanting to work directly with customers, understand their problems firsthand, and influence the product
• Clear communication on complex technical topics, whether you're talking to a customer's engineers or their leadership
• Genuine curiosity about AI inference and training, and a drive to become an expert in the infrastructure powering it
• Willingness to respond to customers outside regular working hours and participate in an on-call rotation
• Excitement about solving problems for some of the largest and fastest-growing companies in the world running mission-critical AI workloads

• 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 learning and networking opportunities.