Level

Baseten

Product Finance, Training & New Products

AI in this role

cursorclay
fine-tuningai-research

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).

How we rate this

Product Finance, Training & New Products at Baseten rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Fine TuningAI ResearchCursorClay

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. Tell me about a research question you investigated. What did you find?
  3. What are the limits of Cursor that you've run into, and how did you work around them?
  4. What's a project where you used Clay hands-on?

Adapt your resume

  • List these exact terms on your resume: Fine Tuning, AI Research, Cursor, and Clay. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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