Engineering Manager, Billing Platform
- Market p25–p75
- $239k–$300k
- Anthropic p25–p75
- $445kn=10
- Opened · 30d
- +87
- Closed · 30d
- −103
- Signal
- ● Steady−16 net
- Opened · 7d
- +19110% of open
- All engineering management
- 2,305open
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai, the Developer Platform, Claude Code, and all that comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission.
Pricing Foundations is the team within Billing that turns a signed enterprise agreement into something every system can act on. We own the model and the systems of record for what a customer bought: their commitments, their pricing terms, how many organizations roll up to one agreement, and the automation that provisions a signed deal across Anthropic's products and the cloud platforms where Claude is sold. When a deal closes, our systems decide what the customer is entitled to, what they pay, and what Finance reports.
We're looking for an engineering manager to lead this team. You'll hire and grow the team, set its technical direction, and own how it delivers. Success looks like new deal structures shipping as configuration rather than one-off engineering, and signed deals provisioning automatically, with the rare exception routed to someone who can fix it.
Key responsibilities
- Lead and grow the team. Hire, coach, and develop engineers, give clear and honest feedback, and build a team that owns its domain end to end.
- Own the commercial data model. Set the direction for how commitments, pricing terms, account hierarchies, and entitlements are modeled, so a new deal structure extends the model instead of working around it.
- Own the pricing primitives: the catalog of products and rates, and the constructs that let contracted pricing follow a customer across products and new model launches.
- Make the contract the source of truth. Build systems of record that Finance can close the books on and trace back to the signed contract, with reconciliation against the CRM and every downstream billing system designed in from the start.
- Automate the path from signature to a live customer. Lead the durable workflows that provision a signed deal across Anthropic's products and the cloud platforms where Claude is sold, recover from partial failure, and route exceptions to the right person with the context to resolve them.
- Build for people and agents. Own the interfaces for agreements, entitlements, and pricing terms that seller tools and Claude-powered agents read and write, so both get the same safe, auditable capabilities.
- Own planning and delivery. Turn competing asks from Sales, Deal Desk, Finance, Legal, and product teams into a clear roadmap, make the trade-offs explicit, and hold the team to its milestones.
- Operate what you ship. Set SLOs on the flows your team runs, instrument them so discrepancies surface before month-end close, and keep on-call sustainable as volume grows.
Minimum qualifications
- 8+ years of industry experience, including 3+ years leading software engineering teams including hiring, coaching and performance management.
- A strong background building production backend systems, with enough depth in a language such as Go, Python, or Java to review designs and code.
- Experience leading teams that built billing, payments, pricing, contract management, or other financial systems of record in production.
- Experience modeling transactional or financial data, including relational databases and SQL.
- Experience leading teams that built and operated asynchronous, long-running workflows, such as on a durable workflow engine like Temporal or on queues and state machines.