Staff Software Engineer, GTM AI Engineering at Anthropic

Confirmed open

Anthropic is hiring a staff software engineer, gtm ai engineering focused on AI engineering for go-to-market systems.

Anthropic

Location: Remote
Work arrangement: remote
Technologies: Python, TypeScript, SQL

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Role overview

The Staff Software Engineer, GTM AI Engineering opening at Anthropic is centered on Deliver technical or research work for AI engineering for go-to-market systems. The employer also lists Collaborate with research, engineering, security, product and business teams. and Improve reliability, testing, documentation and operational readiness. These responsibilities define the practical scope more clearly than the job title: applicants should be ready to explain what they have built, supported or delivered that relates directly to this work. The listing summary says: Anthropic is hiring a staff software engineer, gtm ai engineering focused on AI engineering for go-to-market systems. The named technologies include Python, TypeScript, SQL.

The posting identifies Strong programming skills in Python or TypeScript, with experience building and operating production applications and Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks as relevant qualifications. Candidates should connect these requirements to evidence from their own work, including their individual contribution, technical decisions and outcomes. The listing describes the work arrangement as remote and gives the location as Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA / San Francisco, California, United States. Confirm country eligibility, travel, employment terms and any details absent from this summary directly with Anthropic before applying. This overview is based on the employer-provided posting; it does not infer team structure or expectations that the source does not state.

Responsibilities

Deliver technical or research work for AI engineering for go-to-market systems.
Collaborate with research, engineering, security, product and business teams.
Improve reliability, testing, documentation and operational readiness.
Translate complex technical questions into measurable systems or research outcomes.

Qualifications

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

Technology in this role

Python: The named technologies include Python, TypeScript, .
TypeScript: The named technologies include Python, TypeScript, .
SQL: The named technologies include Python, TypeScript, .
Go: The Staff Software Engineer, GTM AI Engineering opening at Anthropic is centered on Deliver technical or research work for AI engineering for go-to-market .
LLM: 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 .
CAN: • Build a predictive model that explains itself, so an agent can tell a seller why it suggests an .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Staff Software Engineer, GTM AI Engineering position at Anthropic is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “The Staff Software Engineer, GTM AI Engineering opening at Anthropic is centered on Deliver technical or research work for AI engineering for go-to-market systems. The employer also lists Collaborate with research,…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What.

Benefits

Remote-friendly United States arrangement as stated; travel or office requirements vary by role.
Opportunity to support Anthropic’s frontier AI and safety mission.

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.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-10-16

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