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Engineering Manager, Growth

Engineering Manager, Growth

AnthropicSeattle, WA, United States
5 days ago
Job type
  • Full-time
Job description

About the role

We\'re looking for an experienced growth engineering leader to join and help scale our established Growth Engineering team. As we continue to expand our growth initiative, this key leadership role will focus on managing a growing team of engineers while driving user acquisition, engagement, and retention through data-driven strategies and technical implementations. With your experience leading growth engineering teams, 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 as we build out our organizational capacity.

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

You may be a good fit if you have :

  • 5+ years of experience as an product minded engineering manager, with at least 3 years leading growth engineering teams
  • 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

    • Strong candidates may also have experience with :

  • Experience applying machine learning and AI technologies to growth challenges

    • The expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

    $320,000 - $405,000 USD

    Logistics

    Education requirements : We require at least a Bachelor\'s degree in a related field or equivalent experience.

    Location-based hybrid policy : Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

    Visa sponsorship : We do sponsor visas! However, we aren\'t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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