Staff Software Engineer, GTM Systems
- Salary
- $320,000 - $405,000
- Level
- Staff
- Visa
- Sponsors visas
Not stated in the posting: work type.
Open. First seen 20 September 2026.
About the role
Anthropic's standard text
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
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.
Anthropic's standard text
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 @anthropic.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.
How we're different
Anthropic's standard text
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles.
We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
What this role asks for
Particular to this role
CI/CD · Salesforce
Rare in Anthropic's other 299 open postings.
65% of this description is written for the role. The rest is Anthropic's standard text, folded away below.
Read against Anthropic's other open postings on this site.
The team: Engineering & Design - Product HIRES STEADILY
This role is one of 49 open in Engineering & Design - Product. 11 were posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (13 of 49), LLM (11 of 49), TypeScript (11 of 49), Golang (8 of 49), React (8 of 49), JavaScript (7 of 49), Rust (7 of 49)
OTHER ROLES ON THIS TEAM
- Staff+ Software Engineer, Enterprise (Full Stack) posted Oct 16
- Engineering Manager, Claude Platform posted Oct 14
- Developer Relations Manager, Claude Platform posted Oct 14
- Staff+ Software Engineer, Platform Acceleration posted Oct 14
- Product Designer, Growth posted Oct 9
- Software Engineer, Staff: Applied AI, Science & Engineering posted Oct 6
- Business Systems Analyst, GTM Systems posted Sep 29
- Product Designer, Claude Developer Platform posted Sep 28
- Product Designer, Safeguards posted Sep 25
- Staff Software Engineer: Compute posted Sep 23
- Product Designer, Design Systems posted Sep 22
- User Experience Researcher, Platform posted Sep 9
- Salesforce Developer posted Sep 9
- Business Systems Analyst, New Product Introduction posted Sep 8
- Staff+ Software Engineer, Claude Science posted Sep 4
- Staff+ Software Engineer, Auth & Identity posted Aug 21
- Staff+ Software Engineer, Developer Experience posted Aug 21
- Staff+ Software Engineer, Platform Portability posted Aug 20
- Staff+ Software Engineer, Claude Managed Agents posted Aug 20
- Staff+ Software Engineer, Platform Distribution posted Aug 20
- DevOps / AgentOps Engineer, GTM Systems posted Aug 19
- Staff+ Software Engineer, Platform Connectivity posted Aug 19
- Staff+ Software Engineer, Product Sandboxing posted Aug 19
- Front End Engineer, Marketing posted Aug 18
- Staff+ Software Engineer, Platform Ecosystem posted Aug 15
- Developer Relations posted Aug 10
- Staff Software Engineer, Claude Code posted Aug 7
- Staff+ Software Engineer, Enterprise AI Products posted Jul 22
- Staff Software Engineer, Growth posted Jul 21
- Engineering Manager, Growth posted Jul 17
- Engineering Manager, Connectivity - London posted Jul 9
- Staff+ Software Engineer, Enterprise Knowledge Work posted Jul 2
- Staff+ Software Engineer, Enterprise (Platform) posted Jul 1
- Engineering Manager, Enterprise posted Jun 13
- Staff+ Software Engineer, Public Sector posted May 4
- Senior Software Engineer, Full-stack posted Apr 8
- Staff+ Software Engineer, Full-stack posted Apr 8
- Staff+ Software Engineer, Platform posted Apr 8
- Staff+ Software Engineer, Billing Platform posted Mar 10
- Senior Staff Software Engineer, API posted Feb 26
- Staff+ Software Engineer, People Products posted Feb 13
- Model Performance Software Engineer, Claude Code posted Feb 2
- Staff+ Software Engineer, Cybersecurity Products posted Jan 9
- Staff Software Engineer, Product posted Dec 18
- Software Engineer, Labs posted Dec 8
- Software Engineer, Beneficial Deployments posted Oct 3
- Staff Software Engineer, iOS posted Aug 28
- Staff Software Engineer, Android posted Aug 28
From the team and dates on Anthropic's own job board.
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