Software Engineer, People Products

Anthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. They are seeking a Software Engineer for their People Products team to build AI-native workflows and support the entire employee lifecycle from hiring to onboarding and promotions.

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

Requirements:

• At least a Bachelor's degree in a related field or equivalent experience
• Experience in building full-stack end-to-end across the People Products portfolio
• Ability to design and implement AI-native workflows: build tools, evals, prompts, and products
• Experience working directly with internal stakeholders — HR teams, recruiters, managers
• Ability to make product and architecture decisions independently in a low-structure environment
• Ability to contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows
• Ability to derive joy from hard work and the act of creation
• Experience shipping LLM-native features or applications
• Experience building big features independently and making great architectural decisions
• Self-sufficient end-to-end: ability to go from idea to production without needing a designer, PM, or architect to unblock
• Ability to move fast without cutting corners and hold a high quality bar
• Ability to engage directly with users and criticism
• Genuinely mission-driven: care about the intersection of AI and people practices
• Collaborative, supportive teammate: ability to bring people along, communicate clearly about tradeoffs
• 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