Staff Software Engineer, GTM Systems

Anthropic$320K — $405K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong software engineering fundamentals including version control, testing, and deployment automation
  • Experience building a delivery pipeline from the ground up
  • Proven ability to lead teams through growth in engineering practices
  • Fluency with AI coding tools and development workflows
  • Capable of technical discussions across teams to achieve decisions
  • Ability to predict system impacts of changes in non-owned systems
  • Influence through demonstrated work rather than positional authority

Responsibilities

  • Lead architecture reviews of systems that handle lead-to-cash transactions
  • Architect and enhance the engineering pipeline involving CI/CD and automated testing
  • Establish consistent AI-assisted development standards across the team
  • Collaborate with external engineering teams on architectural and tooling challenges
  • Guide the development of agentic tooling on the platform
  • Trace and analyze dependency chains impacting system design decisions
  • Partner with platform developers to improve engineering practices

Benefits

  • Hybrid work policy with in-office expectations
  • Visa sponsorship available
  • Encouragement of diverse candidates to apply
  • Commitment to a safe and ethical workplace
  • Support for inclusion and representation in AI development
Full Job Description
About the role

GTM Systems builds and runs the platform that Sales and contracting operate on. These are production systems that process real transactions and produce the data the rest of the company depends on, and the team has grown into a scope where the engineering practices need to grow with it. The platform-developer model got us here. The next stage is a team that operates as software engineers on top of it.

We are hiring a technical lead to build that next stage. You will design and stand up the engineering motions the team runs on, from pull requests and CI/CD through automated UAT, and you will set the technical bar by working alongside the team rather than legislating from the side. Anthropic is also an unusual place to do this work: our own frontier models are part of your toolkit, the team already uses them daily, and a real part of this role is turning that individual usage into a coordinated engineering practice.
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
  • Have 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


The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$320,000-$405,000 USD

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from [redacted].com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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