Product Finance

Posted Yesterday
Be an Early Applicant
2 Locations
Hybrid
205K-248K Annually
Senior level
Software
Inference will be the largest market ever created.
The Role
Own financial strategy for distribution and labs partnerships, including deal modeling, pricing, revenue shares, capacity commitments, cost-to-serve, and margin analysis. Build commercial frameworks, evaluate partner proposals, forecast partnership performance, and connect commitments to GPU supply planning. Partner with Product, Partnerships, Infrastructure, GTM, and Legal leadership to prioritize partners and inform the product roadmap.
Summary Generated by Built In

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

We’re looking for a high-performing strategic finance professional to join our growing Product Finance team as the finance owner for Baseten's distribution and labs partnerships. You'll evaluate commercials, design deal structures, and make sure the rates we agree to fit our economics and that the value we get from each partnership ties back to our product strategy and compute needs. You'll partner directly with Partnerships, Product, Infrastructure, GTM, and Legal leadership. 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 7 to 10 years of experience across strategic finance, corporate development, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company.

RESPONSIBILITIES
  • Build deal models for distribution and labs partnerships across pricing, revenue share, commitments, and cost-to-serve

  • Evaluate partner proposals and counters and recommend structures that protect margin while getting deals done

  • Own commercial frameworks for partnerships, including revenue share tiers, capacity pricing and partner rate cards

  • Quantify each partnership's strategic value such as customer reach and model access, alongside its direct economics

  • Tie partner commitments and forecasts to Baseten's capacity and GPU supply plan

  • Track partnership performance after signing

  • Own the partnerships forecast and its contribution to the annual plan

  • Partner with Product and Partnerships leadership on which partners to prioritize and how partnerships inform the roadmap

REQUIREMENTS
  • 7+ years of experience in strategic finance at a high-growth company, corporate development, PE/VC investing, and/or investment banking

  • Deep understanding of product unit economics and excellent financial modeling skills, including building deal models from raw usage and cost data

  • Experience structuring commercial agreements and anticipating their downstream impacts such as pricing precedent, channel conflict, capacity commitments and margin

  • Ability to synthesize complex information into clear recommendations for executives and hold a point of view in deal discussions

  • Comfortable building from scratch and making decisions with incomplete data

  • Strong attention to detail with a bias toward ownership and execution

  • Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus

NICE TO HAVE
  • Experience with GPU compute economics or cloud infrastructure

  • Familiarity with cloud marketplaces, AI gateways, or the commercial landscape for AI model labs

  • Experience at a usage-based company

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).

Skills Required

  • 7+ years of experience in strategic finance at a high-growth company, corporate development, private equity or venture capital investing, and/or investment banking
  • Deep understanding of product unit economics
  • Excellent financial modeling skills, including building deal models from raw usage and cost data
  • Experience structuring commercial agreements and assessing impacts on pricing precedent, channel conflict, capacity commitments, and margin
  • Ability to synthesize complex information into clear executive recommendations
  • Ability to maintain a point of view in deal discussions
  • Comfort building processes from scratch and making decisions with incomplete data
  • Strong attention to detail and ownership mindset
  • Advanced Excel and Google Sheets skills
  • SQL or BI tools familiarity
  • Experience with GPU compute economics or cloud infrastructure
  • Familiarity with cloud marketplaces, AI gateways, or the commercial landscape for AI model labs
  • Experience at a usage-based company

Baseten Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Baseten and has not been reviewed or approved by Baseten.

  • Fair & Transparent Compensation — Feedback suggests pay targets the top of market with explicit ranges in postings and a stated aim to provide 90th percentile salaries with equity. Role descriptions emphasize competitive, experience-based pay bands and meaningful stock grants.
  • Healthcare Strength — Healthcare is described as fully covered for medical, dental, and vision for employees and their families, reducing out-of-pocket costs. This comprehensive coverage is consistently highlighted alongside other core benefits.
  • Leave & Time Off Breadth — Time off policies include unlimited PTO with a minimum expectation of at least four weeks, 16 paid company holidays, and a company-wide winter break. These elements indicate substantial protected time away from work.

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The Company
HQ: San Francisco, CA
350 Employees
Year Founded: 2019

What We Do

AI’s future won’t be a few massive models built by a handful of labs. It’ll be millions of specialized models embedded into every product, workflow, and experience by the people closest to the customer. The foundation of that future is inference. Inference determines the performance, reliability, latency, and economics of every AI product. For AI to scale globally, it must be as reliable, fast, cost-effective, and high-quality as possible. That’s why Baseten exists. Companies like Abridge, Cursor, Lovable, Notion, and OpenEvidence depend on Baseten to power mission-critical AI workloads in production.

Why Work With Us

We’re an interdisciplinary team of researchers, engineers, and operators building the Inference Cloud our AI future demands. We’re running at a hard systems problem that requires first-principles thinking across the entire stack. The bar is high. We work hard, move fast, and care deeply about quality.

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