Senior Growth Data Science Manager

• Gusto is looking for an experienced, hands-on people manager to lead a core Data Science & Analytics team
• This role sits at the heart of how we use data — and increasingly AI — to understand, shape, and scale Gusto’s products
• You’ll both manage a team of data scientists and analysts as well as personally get in-the-weeds to work closely with Product, Engineering, Design, Marketing, Sales, and Finance to deliver insights and frameworks that inform strategy, optimize user experiences, and accelerate business growth
• We’re looking for a leader who can balance strategic influence with hands-on craft — someone who can guide senior Gusto leaders through data and AI strategy, coach data scientists on impactful problem solving, and dive in to drive forward statistically rigorous analyses when needed
• Lead and develop a team of data scientists – hire, empower, and coach team members; set a high bar for analytical quality and career growth
• Shape product and business strategy through data – partner with Product and cross-functional leaders to identify opportunities, prioritize investments, and influence long-term product roadmaps
• Develop and scale measurement frameworks – define key metrics, design monitoring systems, and ensure product initiatives — including AI-powered features — are rigorously tracked and evaluated
• Support experimentation and decision-making – support inferential analyses and experimentation (e.g., A/B tests, segmentation, funnel analysis), including designing evaluations for AI and ML-driven systems, ensuring findings are actionable and aligned to strategic goals
• Partner on AI-powered product development – collaborate with ML Engineering and Product to bring intelligent features to life (personalization, predictions, intelligent automation), ensuring they’re grounded in customer insight and measured for real-world impact
• Balance strategic and hands-on impact – dive deep into data, review and refine analyses, and ensure insights are both technically sound and business-relevant
• Influence senior leadership – communicate insights and recommendations clearly, framing trade-offs and shaping executive decision-making

Benefits

• Gender-affirming care and support
• Family care and support, including family planning and fertility benefits
• A variety of mental health resources
• Medical, dental, and vision insurance for employees and dependents
• Free meals and refreshments at the office (conversation and community is an added bonus!)
• Paid vacation, sick time, bereavement, and holidays, paid leaves, sabbatical, and more- Deep expertise in product analytics – experience with user acquisition, activation, retention, engagement, or expansion in SaaS or product-led environments
• Executive communication skills – proven experience presenting insights to senior stakeholders, turning complex data into clear and actionable recommendations
• AI product intuition – experience working at the intersection of data science and AI product development; comfort reasoning about model behavior, evaluation design, and the tradeoffs of deploying AI in customer-facing contexts
• 10+ years of experience in data science or related fields, with at least 4 years managing and scaling high-performing data science teams
• Cross-functional collaboration – history of working closely with Product, Engineering, and go-to-market teams to drive decisions and deliver impact
• Strategic and business acumen – demonstrated ability to connect insights to product and business goals, and to influence roadmaps through data
• Familiarity with multi-product SaaS ecosystems and customer lifecycle analytics is desirable
• Hands-on experience with ML applications in product contexts (e.g., personalization, churn prediction, customer segmentation, or LLM-powered features) is strongly preferred
• Technical fluency – advanced coding skills, strong statistical reasoning, and familiarity with experimentation frameworks; ability to mentor data scientists on best practices