Staff+ Software Engineer, Claude Science
Anthropic· Engineering & Design - Product
Hybrid (San Francisco, CA), Hybrid (New York City, NY)$405k - $485kFull-timePosted 1mo ago
About the role
Technical leadership role shaping Claude Science, an AI workbench for researchers, with end-to-end ownership from product direction to production-ready systems that support scientific workflows across biology, chemistry, physics, and more.
Responsibilities
- Ship fast against a roadmap you help shape: a product in a category no one has defined yet, focusing on high-leverage problems
- Interface directly with working scientists—academic labs, industry R&D teams, and research institutes—translating findings into engineering priorities
- Partner with product and design to turn scientists’ workflows—from hypothesis to analysis to publication—into shipped product
- Work closely with research to improve models for science: shaping evals, surfacing failure modes, and feeding real-world user feedback back into model development
Qualifications
- 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
- Experience building products from 0 to 1 in fast-moving environments and setting technical direction with limited precedent
- Experience building AI products and translating model capabilities into real-world applications
- Comfort working directly with technical domain experts and translating learnings into work
- Ability to drive cross-team alignment to ship impactful work with influence over authority
Skills
Required:Leadership and cross-team collaborationProduct-to-engineering translation
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration
- Visa sponsorship available (subject to feasibility)
Last updated Oct 14, 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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