Primary record

Staff Software Engineer, Growth

Anthropic Indexed employerSan Francisco, CA | New York City, NY | Seattle, WA · New York, New York, United States · San Francisco, California, United States · Seattle, Washington, United States
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Workplace

hybrid

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

We are looking for growth engineers to join our growth team. This key role will help drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.

Key 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

Minimum 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 patte

Requirements

Department: Engineering & Design - Product