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Engineering Manager, Growth

Anthropic
San Francisco, USAfull_timePosted 21 Aug 2026

About the role

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2><strong>About the role</strong></h2> <p>We're looking for an experienced growth engineering leader to build and lead our Growth Engineering team as founding members of our growth initiative. This key leadership role requires deep expertise in driving user acquisition, engagement, and retention through data-driven strategies and technical implementations. Having led growth engineering teams before, you'll be responsible for identifying and executing on growth opportunities across our product surface area, developing experimentation frameworks, and scaling our impact through technical solutions.</p> <h2><strong>Key responsibilities</strong></h2> <ul> <li>Build and lead a high-performing team of growth engineers focused on user acquisition, activation, and retention</li> <li>Define and execute the technical strategy for growth initiatives, including A/B testing frameworks and measurement systems</li> <li>Create clarity and direction for the team in a fast-moving, ambiguous environment</li> <li>Collaborate cross-functionally with product, marketing, and data science teams to identify and prioritize growth opportunities</li> <li>Take an inclusive, equitable approach to hiring and coaching technical talent</li> <li>Drive the development of scalable systems for experimentation, personalization, and optimization</li> </ul> <h2><strong>Minimum qualifications</strong></h2> <ul> <li>Strong technical background in full-stack development with proven success building and shipping growth initiatives</li> <li>Track record of leading teams in growth experimentation, A/B testing, and data-driven product optimization</li> <li>Experience recruiting, scaling, and retaining engineering talent in a high-growth environment</li> <li>Excellent leadership and communication skills, with ability to work effectively across functions</li> <li>Demonstrated success in building a culture of belonging and engineering excellence</li> </ul> <h2><strong>Preferred qualifications</strong></h2> <ul> <li>5+ years of experience as an product minded engineering manager, with at least 2 years leading growth engineering teams</li> <li>Experience applying machine learning and AI technologies to growth challenges</li> <li>Demonstrated

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Anthropic

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