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AnthropicAnthropicSan Francisco, CA

Staff Software Engineer, GTM Systems

Technical lead for GTM Systems at Anthropic, responsible for maturing engineering practices, architecting CI/CD and AI-assisted workflows, leading architecture reviews for lead-to-cash platforms, and influencing cross-team decisions using frontier AI models. Requires strong fundamentals, experience scaling engineering processes, and fluency with agentic AI tools.

320k – 405k/yr
Hybrid7+ YOEGTM Engineering

About the role

Key Responsibilities

  • Lead architecture reviews for GTM systems that process lead-to-cash transactions and generate the data points the organization runs on, including changes originating in other teams that land on our platform.
  • 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, where the right answer is a platform decision rather than a local one.
  • 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

  • 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, including what you did when adoption slowed.
  • Work fluently with AI coding tools and agentic development workflows, and have views on how a team should standardize around them.
  • 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, including their metadata and deployment models.
  • Have built tooling or agents on top of an enterprise system of record.
  • Have operated in a company under audit or compliance constraints.

Compensation & Benefits

  • Annual compensation range: $320,000—$405,000 USD (On Target Earnings for sales roles, including commissions/bonuses and base salary).
  • Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.
  • Location-based hybrid policy: Expect all staff to be in one of our offices at least 25% of the time (some roles may require more).
  • Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours.

Skills

Software EngineeringCI/CDpull requestsautomated uatai coding toolsagentic developmentSalesforceversion controltestingCode Reviewdeployment automation
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