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Product Finance; Training & Products

Remote / Online - Candidates ideally in
Jacksonville, Duval County, Florida, 32099, USA
Listing for: Baseten
Full Time, Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-11-05
Job specializations:
  • Finance & Banking
    Financial Analyst, Corporate Finance
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below
Position: Product Finance (Training & New 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
  • 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
Benefits
  • Remote-first work environment. The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. Today, our team (including our founding team) is spread across the United States, Canada, and Armenia. We provide a $1,000 stipend for you to make your home-office comfortable and productive
  • Regular in-person team summits. We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better
  • Unlimited PTO. We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year’s Day
  • Full healthcare coverage. Medical, dental and vision insurance for you and your family
  • Paid parental leave. 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work
  • Company-sponsored 401(k) for you to contribute to
  • Learning and development budget. We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen
  • 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
  • Comfortable building from scratch and making decisions with incomplete data in a fast-moving environment
  • 5+ years of experience in strategic finance at a high-growth company, PE/VC investing, and/or investment banking
  • Ability to synthesize complex information into clear recommendations for executives
  • High intellectual curiosity and interest in AI / infrastructure / developer tooling
  • Excellent financial modeling and analytical skills, including building unit economics or cost-to-serve models from raw usage and cost data
  • Excellent communication and presentation skills
  • Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus
  • Bachelor’s degree in Business Administration, Finance, or Economics
  • Strong attention to detail with a bias toward ownership and execution
  • 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
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