Product Finance, Training & New Products

San Francisco · Remote · New York · 5+ years experience · Full-time · Posted Oct 1, 2026

At a glance

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 https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

We are looking for a high-performing strategic finance professional to join our growing Product Finance team.
You'll own the economics of Training end to end and be the finance owner for new products as they go from idea to launch to scale.

Build and maintain cost-to-serve models for Training engagements across compute, delivery time, and reserved capacity
Own Training pricing and recommend structures across committed engagements, usage-based pricing, and packaged offerings
Track training capacity utilization and tie capacity plans to pipeline
Run the monthly Training business review across bookings, utilization, margin, pipeline, and renewal and expansion trends
Own the Training forecast and annual plan, including compute needs, unit costs, and multi-year P&L
Partner with Product on new products from concept onward, building pre-launch business cases, cost-to-serve views, and go/no-go recommendations
Set launch pricing and packaging for new products
Define success metrics and scale criteria at launch

Bachelor's degree in Business Administration, Finance, or Economics
5+ years of experience in strategic finance at a high-growth company, PE/VC investing, and/or investment banking
Excellent financial modeling and analytical skills, including building unit economics or cost-to-serve models from raw usage and cost data
Ability to synthesize complex information into clear recommendations for executives
Comfortable building from scratch and making decisions with incomplete data in a fast-moving environment
Strong attention to detail with a bias toward ownership and execution
Excellent communication and presentation skills
High intellectual curiosity and interest in AI / infrastructure / developer tooling
Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus

Experience at a usage-based company
Experience with GPU compute economics or cloud infrastructure
Familiarity with how ML model training and fine-tuning work
Experience with product-led growth economics, such as free tiers, credits, and conversion
Experience pricing or launching a new product line

Competitive compensation, including meaningful equity
100% coverage of medical, dental, and vision insurance for employee and dependents (U.S. only)
Flexible PTO policy including company wide Winter Break
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k) (U.S. only)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities