Product Manager, Pricing and Monetization

Posted Yesterday
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2 Locations
Hybrid
Expert/Leader
Software
Inference will be the largest market ever created.
The Role
Own pricing and monetization strategy across Baseten’s AI infrastructure products, including inference, training, sandboxes, and reserved capacity. Design usage-based pricing models, analyze costs and customer behavior, improve purchasing and billing experiences, and partner with engineering, finance, sales, and product teams to launch pricing changes. The role focuses on increasing adoption, revenue, and unit economics while making complex AI infrastructure pricing transparent and easy to understand.
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.

PRODUCT AT BASETEN

Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day.

We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption.

THE ROLE

Shape how AI infrastructure is priced, packaged, and sold.

AI infrastructure is changing fast, and the way customers pay for it is evolving just as quickly. Tokens, GPUs, reserved capacity, training jobs, agent execution. Different workloads have different economics, and traditional cloud pricing models don't always fit.

We're looking for a Product Manager to lead pricing and monetization across Baseten's platform.

You'll help determine how we package our products, measure usage, price new capabilities, and make it easier for customers to understand and manage their spend.

This is a rare opportunity to influence both how customers experience our platform and how the business grows.

RESPONSIBILITIES
  • Own pricing and packaging strategy across inference, training, sandboxes, Grid, and future products.

  • Design pricing models for token-based inference, dedicated deployments, reserved capacity, and emerging AI workloads.

  • Work with engineering and finance to understand infrastructure costs, GPU utilization, margins, and usage patterns.

  • Build and test pricing strategies using customer research, quantitative analysis, and real-world usage data.

  • Shape the developer and enterprise purchasing experience, including credits, commitments, discounts, overages, and billing transparency.

  • Partner with sales, finance, and product teams to bring pricing changes to market and manage customer transitions.

  • Identify opportunities to improve adoption, revenue growth, and unit economics.

REQUIREMENTS
  • 10+ years of experience in pricing, packaging, or monetization for cloud infrastructure, developer platforms, or complex usage-based products.

  • A track record of owning meaningful pricing decisions, from strategy and modeling through launch and adoption.

  • Experience with both self-serve and enterprise pricing, including commitments, consumption models, and commercial negotiations.

  • Strong analytical skills, including hands-on work with SQL, financial models, usage data, and customer cohorts.

  • A deep understanding of how pricing influences customer behavior, product adoption, and business economics.

  • The ability to work across product, engineering, finance, and GTM to turn complex pricing decisions into simple customer experiences.

NICE TO HAVE
  • Experience pricing AI/ML infrastructure, GPU compute, model APIs, or other emerging developer platforms.

  • Familiarity with inference economics, including utilization, caching, retries, and serving costs.

WHAT SUCCESS LOOKS LIKE

Customers understand what they're paying for and can confidently grow their usage. Baseten has pricing models that make our products easy to adopt, support enterprise growth, and reflect the real economics of running AI at scale.

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

  • 10+ years of experience in pricing, packaging, or monetization for cloud infrastructure, developer platforms, or complex usage-based products
  • Track record of owning pricing decisions from strategy and modeling through launch and adoption
  • Experience with self-serve and enterprise pricing, including commitments, consumption models, and commercial negotiations
  • Strong analytical skills, including hands-on work with SQL, financial models, usage data, and customer cohorts
  • Deep understanding of how pricing influences customer behavior, product adoption, and business economics
  • Ability to collaborate across product, engineering, finance, and go-to-market teams to simplify complex pricing decisions
  • Experience pricing AI/ML infrastructure, GPU compute, model APIs, or emerging developer platforms
  • Familiarity with inference economics, including utilization, caching, retries, and serving costs

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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