Staff Software Engineer (GTM Systems): Designing and scaling the engineering platform for Sales and contracting operations with an accent on lead-to-cash transaction processing and delivery pipelines. Focus on building CI/CD motions, automated UAT, and integrating agentic AI tooling into coordinated engineering practices.
Location: Hybrid in San Francisco, CA (must be in office at least 25% of the time)
Salary: $320,000 - $405,000 USD
Company
Anthropic is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.
What you will do
Lead architecture reviews for GTM systems processing lead-to-cash transactions and organizational data.
Architect and mature the engineering pipeline, including PR workflows, CI/CD, and automated UAT.
Establish shared AI-assisted development standards to convert individual usage into consistent team practice.
Collaborate with external engineering teams on shared architectural problems and platform-level tooling.
Build and shape agentic tooling running on top of the GTM platform.
Analyze and manage dependency chains from upstream data to downstream quoting and provisioning systems.
Requirements
Strong software engineering fundamentals in version control, testing, code review, and deployment automation.
Experience building delivery pipelines and leading teams through significant changes in engineering practice.
Fluency with AI coding tools and agentic development workflows.
Ability to lead cross-team technical discussions and drive decisive outcomes.
Must be based in or able to work from San Francisco, CA.
Nice to have
Experience with business-critical enterprise platforms where financial correctness and auditability are paramount.
Proficiency with Salesforce or comparable enterprise platforms, including metadata and deployment models.
Experience building tooling or agents on top of enterprise systems of record.
Experience operating within companies subject to audit or compliance constraints.
Culture & Benefits
Collaborative "big science" research environment focused on high-impact AI safety.
Competitive compensation with optional equity donation matching.
Generous vacation and parental leave policies.
Flexible working hours and high-quality office space for collaboration.
Visa sponsorship available for eligible candidates.
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