Senior Product Manager, Usage & Pricing

Tabs is the AI Operating System for Revenue, built for modern finance and accounting teams. It combines deep revenue and accounting expertise with the agents and applications needed to run revenue work end to end. Tabs understands customer and contract context, applies accounting logic, and executes critical workflows with built in controls, auditability, and human oversight. With Tabs, finance teams can move from manually managing revenue workflows to directing outcomes while the system executes the work.

About the Role

We're looking for a Senior Product Manager to own Usage & Pricing at Tabs — one of the most foundational and fastest-evolving parts of the platform.

Usage- and token-based pricing are becoming standard across B2B technology companies, fueled by the high cost of LLM inference and the opportunity to pass through these costs to customers. You’ll define the vision, data model, and roadmap for how Tabs handles usage, rating, and pricing — aggregating usage, calculating what’s owed against committed and overage pricing, and defining the price books/rate cards and commitments that drive it. Expect to shape technical architecture decisions directly, not just define requirements for them.

How We Work

• We work hard. Two-week sprints, weekly ship goals, short feedback cycles. Built around intra-month product releases.

• We work smart. Get in front of the customer, use both data and customer feedback to drive decisions, while keeping the bigger picture in mind.

• We work together. In-office culture with people you want to work with. Lots of whiteboard space. Expense coffee, lunch, and dinner when in the office.

What You’ll Work OnEstablish pricing as a first-class product domain

• Define and own the data model for pricing — price books/rate cards, and the quantity/pricing layer used to calculate what should be billed and recognized for revenue

• Translate real-world pricing complexity — tiering, effective-dated changes, pass-through costs, contract-level exceptions — into a data model that's flexible without becoming unmanageable

• Enable rate cards/price books to be defined once and referenced across downstream systems

• Use AI/LLM extraction to parse pricing terms — rate structures, commitments, exceptions — directly from signed contract PDFs, so the price book reflects what was actually signed without manual re-entry

Own usage aggregation and usage commitments

• Define how usage is aggregated and rated against contracted amount

• Own the commitment model — how drawdowns, true-ups, and overages work — in close partnership with engineering on the underlying architecture