Product Finance, Training & New Products

Posted 11 Days Ago
Be an Early Applicant
2 Locations
Remote or Hybrid
205K-248K Annually
Senior level
Software
Inference will be the largest market ever created.
The Role
Own the financial economics of Training and new products, including cost-to-serve modeling, pricing, capacity planning, forecasting, annual plans, and P&L analysis. Partner with Product, Engineering, Infrastructure, and GTM leaders on business cases, launch pricing, margins, and scale decisions. Lead monthly business reviews and define success metrics for new product launches in a fast-growing AI infrastructure company.
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. 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.

RESPONSIBILITIES
  • 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

REQUIREMENTS
  • 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

NICE TO HAVE
  • 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).

Skills Required

  • 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
  • Ability to build from scratch and make 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, or developer tooling
  • Advanced Excel and Google Sheets skills
  • Familiarity with SQL or BI tools
  • Experience with GPU compute economics or cloud infrastructure
  • Familiarity with ML model training and fine-tuning
  • Experience with product-led growth economics, including free tiers, credits, and conversion
  • Experience pricing or launching a new product line

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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