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Own the financial modeling, pricing, and capacity planning for Baseten's Training business and new product launches, working with Product, Engineering, and GTM leadership on margin and pricing decisions. You'll build cost-to-serve models, set pricing strategies, manage forecasts, and define success metrics for new products from concept through scale. This role requires 5+ years in strategic finance, investing, or investment banking, with strong financial modeling skills and experience building unit economics. Competitive compensation and equity are offered.
Written from this posting by Neural Jobs AI. The full description is below.
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.
We’re looking for a high-performing strategic finance professional to join our growing Product Finance team. Training is one of Baseten's fastest-evolving businesses and it won't be the last new product line we launch. 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, partnering directly with Product, Engineering, Infrastructure, and GTM leadership on the pricing, margin, and capacity decisions that shape each business. This is a builder role: much of what you'll own doesn't exist yet as a model, a dashboard, or a process.
This role is ideal for someone with 5 to 8 years of experience across strategic finance, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. Experience at a usage-based company is a plus.
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 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
BENEFITS
Competitive compensation, including meaningful equity
(U.S. only) 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
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
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Baseten provides infrastructure for deploying and serving machine learning models in production — inference, autoscaling and GPU orchestration — so teams can ship models without managing the underlying systems.
Founded in 2019, Baseten serves AI-native companies running open and custom models at scale.
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