Anthropic is seeking an experienced growth engineering leader to build and lead a high‑performing Growth Engineering team focused on user acquisition, activation, and retention. The role involves defining technical strategy, developing experimentation frameworks, collaborating cross‑functionally, and driving scalable systems for personalization and optimization within a hybrid, location‑based hybrid policy across multiple US offices.
Engineering Manager, Growth na Anthropic
Híbrido - San Francisco, CA, New York City, NY, Seattle, WA
Ver mais vagas na AnthropicSalary
USD 405,000 - 485,000
Requirements
Skills
- 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
Responsibilities
- 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
Technologies
full-stack developmentA/B testingexperimentation frameworksmachine learningAI technologiesmodern web development stacksuser segmentation and cohort analysis tools
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