Engineering Manager, Growth

Join Anthropic as an Engineering Manager, Growth to lead our Growth Engineering team, focusing on user acquisition, engagement, and retention through data-driven strategies.

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.

• •Build and lead a high-performing team of growth engineers focused on user acquisition, activation, and retention
• •Define and execute the technical strategy for growth initiatives, including A/B testing frameworks and measurement systems
• •Create clarity and direction for the team in a fast-moving, ambiguous environment
• •Collaborate cross-functionally with product, marketing, and data science teams to identify and prioritize growth opportunities
• •Take an inclusive, equitable approach to hiring and coaching technical talent
• •Drive the development of scalable systems for experimentation, personalization, and optimization

• •Competitive compensation and benefits
• •Optional equity donation matching
• •Generous vacation and parental leave
• •Flexible working hours
• •A lovely office space in which to collaborate with colleagues

• •Strong technical background in full-stack development with proven success building and shipping growth initiatives
• •Track record of leading teams in growth experimentation, A/B testing, and data-driven product optimization
• •Experience recruiting, scaling, and retaining engineering talent in a high-growth environment
• •Excellent leadership and communication skills, with ability to work effectively across functions
• •Demonstrated success in building a culture of belonging and engineering excellence

• •5+ years of experience as a product-minded engineering manager, with at least 2 years leading growth engineering teams
• •Experience applying machine learning and AI technologies to growth challenges
• •Demonstrated success implementing product-led growth strategies and viral loops at scale
• •Expertise in modern web development stacks and experimentation frameworks
• •Experience with user segmentation and cohort analysis tools
• •Startup experience, particularly in scaling products from zero to one