Staff Software Engineer, GTM Systems

Anthropic's mission is to create reliable, interpretable, and steerable AI systems.

GTM Systems builds and runs the platform that Sales and contracting operate on. These are production systems that process real transactions and produce the data the rest of the company depends on. The team has grown into a scope where the engineering practices need to grow with it. The platform-developer model got us here. The next stage is a team that operates as software engineers on top of it.

We are hiring a technical lead to build that next stage. You will design and stand up the engineering motions the team runs on, from pull requests and CI/CD through automated UAT. You will set the technical bar by working alongside the team rather than legislating from the side. Anthropic is also an unusual place to do this work: our own frontier models are part of your toolkit, the team already uses them daily, and a real part of this role is turning that individual usage into a coordinated engineering practice.

Key responsibilities:

• Lead architecture reviews for GTM systems that process lead-to-cash transactions and generate the data points the organization runs on
• Architect and mature the engineering pipeline the team develops against: pull request workflow, CI/CD, automated UAT, and the deploy path from source control to production
• Establish shared AI-assisted development standards for the team, converting existing individual usage into consistent practice that holds up under review
• Work with engineering teams outside GTM on shared architectural problems and common tooling
• Build and shape the agentic tooling running on top of our platform, and set the pattern other engineers follow when they build the next one
• Trace the dependency chain from upstream data and downstream quoting and provisioning systems, and make sure design decisions account for what they break
• Partner with the platform developers on the team as engineering practice deepens, expanding what the team can safely ship

Minimum qualifications:

• Have strong software engineering fundamentals: version control discipline, testing, code review, deployment automation, and a bias toward simple designs
• Have built the delivery pipeline for a team, not just worked within one, and can describe the sequencing choices you made
• Have led a team through a step change in engineering practice as its scope grew
• Work fluently with AI coding tools and agentic development workflows
• Can run a technical discussion across teams that do not report to you and leave it with a decision rather than a follow-up meeting
• Reason about systems you do not own well enough to predict how your changes affect them
• Prefer influence through demonstrated work over positional authority

Preferred qualifications:

• Have worked on business-critical enterprise platforms where financial correctness and auditability mattered
• Have experience with Salesforce or comparable enterprise platforms
• Have built tooling or agents on top of an enterprise system of record
• Have operated in a company under audit or compliance constraints

The annual compensation range for this role is $320,000-$405,000 USD.