# Software Engineer, People Products

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA
**Role:** Fullstack Engineering
**Salary:** $320k – $405k/yr
**Experience:** 7+ years
**Skills:** LLMs, AI, Claude, Mcp, Greenhouse, Workday, Rippling
**Posted:** 2026-06-03

> As a Staff Software Engineer on the People Products team, you will build full-stack, AI-native workflows across the employee lifecycle. You will work directly with internal stakeholders, make independent product and architecture decisions, and contribute to shaping Anthropic's culture through the tools you build.

## Job Description

## Responsibilities

* Build full-stack end-to-end across the People Products portfolio.
* Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll help define what is possible in applied AI for people processes.
* Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers.
* Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input.
* Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.

## You Might Be a Good Fit If You:

* Derive joy from hard work and the act of creation.
* Have shipped LLM-native features or applications.
* Are experienced enough to build big features independently, and make great architectural decisions along the way.
* Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.
* Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.
* Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.
* Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.
* Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better.

## Strong Candidates May Also Have:

* Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.
* Background at an AI-native company or in a product-focused 0->1 engineering environment.
* Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.

## Annual Salary:

$320,000—$405,000 USD

## Logistics

* Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
* Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
* Visa sponsorship: We do sponsor visas!

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