
11 - 50 employees
Founded 2020
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Anthropic is an AI safety and research company based in San Francisco. The company focuses on developing research and creating reliable, beneficial AI systems. It offers products such as the Claude AI model, designed to be safe and efficient for enterprise use, and provides tools like the Claude API to help drive efficiency and create new revenue streams for businesses. Anthropic places a strong emphasis on AI safety, aligning its work with principles of harmlessness and ethical AI deployment.
🕒 June 4
🏢🏡 San Francisco – Hybrid
💵 $320k - $405k / year
⏰ Full Time
🔴 Lead
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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11 - 50 employees
Founded 2020
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Anthropic is an AI safety and research company based in San Francisco. The company focuses on developing research and creating reliable, beneficial AI systems. It offers products such as the Claude AI model, designed to be safe and efficient for enterprise use, and provides tools like the Claude API to help drive efficiency and create new revenue streams for businesses. Anthropic places a strong emphasis on AI safety, aligning its work with principles of harmlessness and ethical AI deployment.
• Build full-stack end-to-end across the People Products portfolio. • Design and implement AI-native workflows: build tools, evals, prompts, and products. • Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly. • Make product and architecture decisions independently in a low-structure environment. • Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.
• 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 will correlate with the internal job level requirements for the position • 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
• Competitive compensation and benefits • Optional equity donation matching • Generous vacation • Parental leave • Flexible working hours • Lovely office space
Apply Now🕒 June 3
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