Staff Software Engineer - AI Science Platform Lead

Anthropic Limited

New York (NY)

Hybrid

USD 405,000 - 485,000

Full time

4 hours ago
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Benefits offered by this job

Competitive compensation
Equity donation matching (optional)
Generous vacation & parental leave
Flexible working hours
Office space

Job summary

Anthropic seeks a seasoned software leader to ship fast against a roadmap in a new category, collaborating directly with scientists to translate insights into engineering priorities. You will partner with product and design to turn hypotheses into shipped products, and work with research to improve models by feeding real-world feedback into development.

Ideal candidates have 8+ years of software experience, 2+ years in a staff level role, and a track record building AI products that scale to

Qualifications

  • 8+ years of software engineering experience and 2+ years in staff or senior leadership roles.
  • Built products from 0 to 1 in fast-moving environments and set technical direction.
  • Created AI products and turned model capabilities into real applications.
  • Ability to work with technical domain experts and translate learnings into engineering priorities.
  • Drive cross-team alignment to ship impactful work.

Responsibilities

  • Ship fast against a roadmap you help shape in a category no one defined.
  • Interface with scientists, translate learnings into engineering priorities.
  • Partner with product and design to turn hypotheses into shipped product.
  • Collaborate with research to improve models and feed feedback into development.

Skills

Software engineering
Technical leadership
AI product development
Cross-functional collaboration
Stakeholder communication

Education

Bachelor's degree

Job description

Anthropic seeks a seasoned software leader to ship fast against a roadmap in a new category, collaborating directly with scientists to translate insights into engineering priorities. You will partner with product and design to turn hypotheses into shipped products, and work with research to improve models by feeding real-world feedback into development.

Ideal candidates have 8+ years of software experience, 2+ years in a staff level role, and a track record building AI products that scale to

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