Staff Software Engineer, GTM AI Engineering

Anthropics 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.

As a Staff Software Engineer on the GTM AI Engineering (Claudification) team you will build the agents and AI systems that run Anthropics own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound outbound and pipeline addition youll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where youll drive technical direction for agents and evals across our team.

Working closely with sellers RevOps and our platform engineering partners youll own projects from first prototype through production operation. Youll combine full-stack engineering (MCP servers agentic systems web applications etc.) with hands-on evaluation work (behavior benchmarks production monitoring ROI measurement) and help architect the shared platforms that builders from across our go-to-market org contribute to. Youve worked in cultures of analytical rigor before and youre eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the companys growth.

• Build and operate autonomous agents that run go-to-market motions end to end across areas like inbound outbound pipeline management and customer engagement
• Design the human oversight for each motion: approval gates handoffs and escalation paths that keep sellers in control
• Develop evaluation frameworks for agent behavior and run them in development and in production
• Instrument model and tool calls in production and build the observability and measurement that ties agent actions to pipeline and revenue
• Ship MCP servers agent skills and web applications that connect to systems like our CRM communication tools and data warehouse
• Set the technical direction for how we build evaluate and operate agents across the team
• Architect shared codebases that builders from across go-to-market contribute to setting the conventions and review practices that keep quality high
• Work directly with sellers to ground agent designs in real workflows and iterate based on what you observe
• Identify repeatable patterns and contribute insights back to Anthropics Product and Engineering teams
• Maintain strong knowledge of the latest developments in LLM capabilities agent frameworks and evaluation techniques

• Strong programming skills in Python or TypeScript with experience building and operating production applications
• Production experience with LLMs including context engineering agent development MCP development tool use and evaluation frameworks
• Experience using evals and transcript analysis to find and fix real problems in an LLM system
• Working fluency with data including SQL
• Ability to navigate ambiguity and ship without a spec finding simple solutions to complex problems
• Passion for advancing safe beneficial AI and care for the people who use what you build

• 8 years in roles such as software engineer ML engineer or forward deployed engineer. Former technical founders are encouraged to apply
• Experience with the Claude Code and the Claude Agent SDK
• Experience with go-to-market systems (CRM sales engagement enrichment conversation intelligence) or time working closely with a revenue team
• Experience growing a codebase that many people contribute to inner-source or open-source
• Applied ML and experimentation background: A/B testing propensity models recommendations or causal analysis
• Exceptional communication skills to convey technical concepts to non-technical partners with low ego

(Illustrative of the kind of work not a project list.)

• Build an agent that takes a routine sales workflow from first signal to a drafted human-reviewed action
• Stand up the eval suite for an agent: seed scenarios scoring rubrics and regression runs on every change
• Ship an MCP server that gives sellers and their agents governed access to a core revenue system
• Design a shared repository where go-to-market builders publish agents and skills with the tests and review rules that keep it healthy
• Build a predictive model that explains itself so an agent can tell a seller why it suggests an action

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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.

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 aboutour policy for using AI in our application process.