Staff+ Software Engineer, Full-Stack
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.
What this role actually needs.
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. Responsibilities: - Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. - Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. - Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". - Financial Services — analysts and bankers building models, memos, and decks under deadline. We're building retrieval, analysis, and document generation that holds up to executive review. - Healthcare — clinical documentation, prior auth, and care coordination. Work where accuracy isn't a feature, it's the whole product — and where compliance is part of the engineering. - Legal — contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it's wrong. Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.
Day-to-day expectations
Anthropic lists these responsibilities for the Staff+ Software Engineer, Full-Stack role.
- Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
- Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.
- Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need".
- Financial Services — analysts and bankers building models, memos, and decks under deadline. We're building retrieval, analysis, and document generation that holds up to executive review.
- Healthcare — clinical documentation, prior auth, and care coordination. Work where accuracy isn't a feature, it's the whole product — and where compliance is part of the engineering.
- Legal — contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it's wrong.
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On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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Source: job-boards.greenhouse.io · Source ID: 5174747008 · Confidence: 97/100 · Last checked: May 7, 2026
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