Product Manager, Pricing and Monetization

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.