Staff Software Engineer, Internal Products

About the role

Our sales team is selling an increasing number of Anthropic products, at an ever-increasing volume. We are building the internal products our sellers and the teams who support them work in every day: how sellers manage their book, how deals get priced and approved, how renewals come together, and how a closed deal is handed off cleanly for billing and provisioning. Claude is our sellers' personal assistant: Claude should do as much of the admin work as it safely can, and our sellers decide what needs a human.

We're looking for Staff+ full-stack engineers to drive this work. You'll build across the stack: the products sellers use and the agents that work alongside them. You'll work directly with sellers, deal desk, finance and legal. A pricing error becomes a billing error, so correctness matters as much as speed. This is a greenfield opportunity: you'll shape the underlying systems, ship agents that help sellers organize their work, and design how agents and sellers get the right context to make high-quality deals, all from the ground up.

Key responsibilities

• Design and ship internal products end to end, from the data model to the UI, covering how sellers plan their day, how deals get approved, how renewals come together and how a closed deal is handed off to billing and provisioning.
• Put Claude to work on real selling tasks, such as preparing renewals, pulling together the context a deal needs or keeping account details up to date across the systems we already use, and decide where an agent should act and where a well-designed UI is the better answer.
• Make agents safe to trust with a deal: scoped access to customer and deal data, guardrails, evals, audit trails, and clear points where a person confirms before anything happens.
• Build one set of shared capabilities (such as pricing a deal, requesting an approval or handing off a closed deal) that people and agents both use, exposed as APIs and MCP tools, so the same rules and approvals apply to whoever makes the call.
• Treat speed and polish as product requirements. Spend time with sellers and the teams who support them, find where deals slow down, and remove those steps.
• Build for correctness. Downstream, a deal becomes revenue, a bill and a live account, so you'll know where idempotency, reconciliation and audit trails matter and where they don't.
• Integrate with the third-party systems sellers and the teams who support them already rely on, and build the layer on top of them where people and agents get their work done.
• Set technical direction for a domain over multiple quarters, lead engineers across teams through large, ambiguous projects, and raise the bar for the engineers around you.
• Operate what you ship: own the reliability of the workflows sellers depend on and be on call for them.

Minimum qualifications

• Production experience as a backend-leaning full-stack engineer, comfortable designing a data model, an API and the UI on top of them.
• Experience building software on LLMs or agents, and a point of view on when an agent should act on its own and when it should ask first.
• Experience leading the design and delivery of complex, user-facing products across the full stack, through requirements that shifted while you built.
• Experience designing for correctness and data integrity from the start, and building systems that are easy to reason about when money is involved.
• Experience working across functions, translating between sales, finance, legal and engineering to reach a decision.

Preferred qualifications

• Experience building internal products or workflow tools for sellers or the teams who support them. A plus, not a requirement; strong product generalists are just as welcome.
• Experience taking an agent into production for a high-stakes workflow, including the evals and guardrails that made it safe to ship.
• Experience building a zero-to-one product, or rebuilding one that people already depended on every day.
• Experience building pricing, billing or payments systems, and an understanding of how a small pricing change ripples through the stack.