Назад
1 день назад

Staff Software Engineer (GTM Systems)

320 000 - 405 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

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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