Staff Software Engineer, Product
Anthropic· Engineering & Design - Product
Hybrid (San Francisco, CA), Hybrid (New York City, NY), Hybrid (Seattle, WA)$320k - $405kFull-timePosted 10mo ago
About the role
Product engineering role focused on building the consumer web/desktop experience for Claude, partnering with design and product to ship user-facing features and ensure high quality, latency-aware UX.
Responsibilities
- Set technical direction for the Claude product and its features
- Build and ship user-facing features for Claude's web and desktop experience
- Own the quality bar for how the product looks and feels, treating latency, responsiveness, and reliability as first-class concerns
- Collaborate tightly with product managers to understand user needs, shape feature scope, and make informed tradeoffs
- Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis
Qualifications
- 5+ years of experience building consumer-facing web products, with a strong emphasis on UI quality and user experience
- Proficient in React, Next.js, and TypeScript, and have experience with Node.js on the backend side of the stack
- Genuinely care about the user experience — not just how something looks, but how fast it loads, how reliably it works, and how it feels across devices
- Collaborate well with designers and product managers, and enjoy turning a design into something that works beautifully in the browser
- Comfortable working in a fast-moving environment where priorities shift and shipping quickly matters
- Ability to pick up slack, even if it goes outside your job description
Skills
Required:ReactNext.jsTypeScriptNode.jsUI/UX collaboration
Benefits
- Competitive compensation and benefits
- optional equity donation matching
- generous vacation and parental leave
- flexible working hours
- lovely office space
Last updated Sep 2, 2026. Interested? Apply on the company site.
About Anthropic
building reliable, interpretable, and steerable AI systems
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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