Engineering Manager, Growth

Anthropic; New York (NY); On-site; USD 405,000 - 485,000; Full time

Job summary

Anthropic is seeking an experienced Growth Engineering Leader to build and guide the Growth Engineering team as founding members of the growth initiative. You will drive user acquisition, activation, and retention through data‑driven strategies and scalable technical implementations.

You will define the technical strategy for growth, create experimentation frameworks, and collaborate cross‑functionally with product, marketing, and data science to identify high‑impact growth opportunities.

Qualifications

• Strong background in full‑stack development with growth outcomes.
• Proven leadership of growth experimentation and A/B testing.
• Experience hiring, scaling, and mentoring engineers in fast growth.
• Excellent cross‑functional collaboration and communication.

Responsibilities

• Build and lead a growth engineering team focusing on acquisition, activation, and retention.
• Define technical strategy for growth, incl. experimentation and measurement.
• Provide clear direction in a fast‑moving environment.
• Collaborate with product, marketing, and data science to prioritize growth opportunities.
• Foster an inclusive, high‑performance culture and scalable experimentation systems.
• Develop scalable systems for experimentation, personalization, and optimization.

Skills

Full-stack development

Growth experimentation

A/B testing

Data-driven optimization

Engineering leadership

Cross-functional collaboration

Communication

Hiring and mentoring

Education

Bachelor’s degree or equivalent

Tools

Experimentation frameworks

Web development stacks

Cohort analysis tools

ML/AI growth applications

Job description

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'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.

Key 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.

Minimum Qualifications

• 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.
• Bachelor’s degree or equivalent combination of education, training, and/or experience.

Preferred Qualifications

• 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.

Annual Salary

$405,000—$485,000 USD