Anthropic

1 day ago

Staff Software Engineer, GTM Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Build and lead the next stage of engineering for a GTM platform that processes lead-to-cash transactions and powers downstream quoting and provisioning. You’ll design and mature engineering motions—pull request workflow, CI/CD, automated UAT, and the deploy path—while setting AI-assisted development standards. Lead architecture reviews, coordinate platform decisions with other teams, and develop agentic tooling that establishes patterns for future work.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead architecture reviews for GTM systems processing lead-to-cash transactions and generating platform-critical data points.
•Architect and mature the engineering pipeline, including pull request workflow, CI/CD, automated UAT, and production deploy path.
•Establish shared AI-assisted development standards that convert individual usage into consistent, reviewable practice.
•Coordinate with engineering teams outside GTM on shared architectural problems and common tooling, driving platform-level decisions.
•Build and shape agentic tooling on top of the platform while tracing dependencies to ensure changes account for downstream impacts.

Pay and Benefits

Salary: USD 320,000 - 405,000 annually

Perks:Parental LeaveEquity

Key Requirements

•Strong software engineering fundamentals including version control discipline, testing, code review, and deployment automation.
•Experience building a delivery pipeline for a team (not just working within one), including sequencing decisions.
•Proven ability to lead a step change in engineering practice as team scope grew.
•Fluency with AI coding tools and agentic development workflows, with an approach to standardizing them.
•Ability to run technical discussions across teams not reporting to you and reach decisions.

Experience:Enterprise platformsSalesforceAudit and compliance

Education:Bachelor's

Skills:LeadershipTechnical communicationCollaboration

Languages:English

Tech Stack:CI/CDUATSalesforceAI coding toolsAgentic development workflowsFrontier models

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Anthropic

1 day ago

Staff Software Engineer, GTM Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead architecture reviews for GTM systems processing lead-to-cash transactions and generating platform-critical data points.
•Architect and mature the engineering pipeline, including pull request workflow, CI/CD, automated UAT, and production deploy path.
•Establish shared AI-assisted development standards that convert individual usage into consistent, reviewable practice.
•Coordinate with engineering teams outside GTM on shared architectural problems and common tooling, driving platform-level decisions.
•Build and shape agentic tooling on top of the platform while tracing dependencies to ensure changes account for downstream impacts.

Pay and Benefits

Salary: USD 320,000 - 405,000 annually

Perks:Parental LeaveEquity

Key Requirements

•Strong software engineering fundamentals including version control discipline, testing, code review, and deployment automation.
•Experience building a delivery pipeline for a team (not just working within one), including sequencing decisions.
•Proven ability to lead a step change in engineering practice as team scope grew.
•Fluency with AI coding tools and agentic development workflows, with an approach to standardizing them.
•Ability to run technical discussions across teams not reporting to you and reach decisions.

Experience:Enterprise platformsSalesforceAudit and compliance

Education:Bachelor's

Skills:LeadershipTechnical communicationCollaboration

Languages:English

Tech Stack:CI/CDUATSalesforceAI coding toolsAgentic development workflowsFrontier models

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn