Anthropic
Staff Software Engineer, GTM Systems
$320K–$405K
San Francisco, CA +1 · Staff · Full-time · Posted Jul 23, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- Years required correlate with internal job level; no specific number stated.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; the company will make every reasonable effort to obtain a visa after an offer.
About the job
Leads the engineering practices and architecture for GTM systems, strengthening delivery pipelines and establishing coordinated AI-assisted development across the team.
What you'll do
- Lead architecture reviews for systems supporting lead-to-cash transactions and their dependencies.
- Build and mature engineering workflows, including pull requests, CI/CD, automated UAT, and production deployment.
- Establish shared AI-assisted development standards and shape agentic tooling on the platform.
What they ask for
- Strong software engineering fundamentals, including version control, testing, code review, and deployment automation.
- Have built a team's delivery pipeline and be able to explain sequencing choices.
- Have led a team through a step change in engineering practice, including addressing slowed adoption.
- Work fluently with AI coding tools and agentic workflows; lead cross-team technical discussions and reason about systems beyond your ownership.
Nice to have
- Experience with business-critical enterprise platforms where financial correctness and auditability matter; Salesforce or comparable platforms.
- Experience building tooling or agents on an enterprise system of record, or working under audit or compliance constraints.
Pay
$320,000 — $405,000 USD (annual base salary)
Tools
Salesforce, CI/CD
AI focus
Use AI coding tools and agentic development workflows; establish shared AI-assisted engineering standards and build agentic tooling on the platform.
Model-written summary · the original posting is authoritative