# Staff Software Engineer, GTM Systems

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA
**Role:** GTM Engineering
**Salary:** $320k – $405k/yr
**Experience:** 7+ years
**Skills:** Software Engineering, CI/CD, pull requests, automated uat, ai coding tools, agentic development, Salesforce, version control, testing, Code Review, deployment automation
**Posted:** 2026-07-23

> 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.

## Job Description

## 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.

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