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Staff Software Engineer, Growth

Anthropic· Engineering & Design - Product
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Hybrid (San Francisco, CA), Hybrid (New York City, NY), Hybrid (Seattle, WA)$320k - $405kFull-timePosted 3mo ago

About the role

Growth engineer role focused on driving user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations on the Anthropic Growth team.

Responsibilities

  • Develop and implement technical solutions to support user acquisition, activation, retention, and revenue growth
  • Design and execute A/B tests and experiments to optimize user onboarding, feature adoption, subscription conversion, and overall product experience
  • Collaborate with product and marketing teams to identify growth opportunities and translate them into technical requirements

Qualifications

  • Experience working on user growth (acquisition, activation, retention, monetization) or have worked in a revenue focused organization like ads
  • Have experience full-stack development (web/React and backend), and experience with data analysis and experimentation frameworks
  • Take a data-driven approach to problem-solving, with a keen eye for identifying patterns and opportunities in user behavior and metrics
  • Are passionate about the potential of AI to reach and benefit a wide audience, and eager to tackle challenges in scaling AI products
  • Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional partners and teammates

Skills

Required:Full-stack developmentData analysis and experimentationA/B testingGrowth strategy collaboration

Benefits

  • Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space.
Last updated Jul 22, 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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