Anthropic
Engineering Manager, Growth
$405K–$485K
San Francisco, CA +5 · Manager · Full-time · Posted Jul 17, 2026
- Location
- San Francisco, CA
New York City, NY
Seattle, WA
New York, New York, United States
San Francisco, California, United States
Seattle, Washington, United States - Experience
- Minimum years correlate with internal job level requirements; preferred qualification specifies 5+ years as a product-minded engineering manager, including at least 2 years leading growth engineering teams.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides an immigration lawyer.
About the job
Leads Anthropic’s Growth Engineering team, setting technical strategy and building systems to improve user acquisition, activation, engagement, and retention.
What you'll do
- Build and lead a team of growth engineers, including recruiting and coaching.
- Define growth strategy and develop experimentation, measurement, personalization, and optimization systems.
- Work with product, marketing, and data science to identify and prioritize growth opportunities.
What they ask for
- Strong full-stack development background with proven success building and shipping growth initiatives.
- Track record 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; demonstrated success fostering belonging and engineering excellence.
Nice to have
- 5+ years as a product-minded engineering manager, including at least 2 years leading growth engineering teams.
- Experience applying machine learning and AI to growth; product-led growth, viral loops, experimentation frameworks, user segmentation, cohort analysis, or startup scaling experience.
Pay
$405,000 — $485,000 USD (base salary)
Tools
A/B testing, machine learning, AI
AI focus
Preferred: apply machine learning and AI technologies to growth challenges.
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