Tech Lead Manager, Growth Data Science

About the Role

As part of our growing Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You'll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads. As a tech lead manager, you'll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decisions.

Key Responsibilities

• Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes
• Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize
• Manage and develop a small team of Product Data Scientists
• Frame the most important and ambiguous questions facing Growth, size the opportunities, and make clear recommendations
• Define how Growth measures success, establishing core metrics, guardrails, and measurement frameworks
• Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods
• Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback
• Guide the team's work on targeting and personalization
• Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership
• Establish foundational data practices and shape the analytics infrastructure Growth needs

Minimum Qualifications

• Extensive experience in data science, including leading analytics for a growth or product area at significant scale
• 5+ years managing data science teams, including setting team direction and developing senior data scientists
• Trusted partner to senior product, growth, or marketing leaders
• Strong product sense and business judgment across the growth funnel
• Deep expertise in experimental design, causal inference, and statistical modeling at high scale
• Fluency in Python and SQL to stay hands-on and guide others' technical work
• Clear communication in writing and presentations, including to executive audiences
• Bias for action and thrive in ambiguous, fast-moving environments
• Care about the company's mission of building helpful, honest, and harmless AI

Preferred Qualifications

• Experience measuring marketing incrementality, including holdouts, geo experiments, or marketing mix modeling
• Experience with targeting, personalization, or uplift models in production
• Background at consumption-based, multi-product companies serving both consumers and enterprises
• Experience with AI/ML products or large language models, including using coding agents in your analytical workflow