Engineering Manager, Growth
Anthropic · San Francisco, United States +3 · 2mo ago
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
Preferred qualifications
- 5+ years of experience as an 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
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.