About the role

Senior Manager leading a core Data Science product team at Gusto. Leveraging data for product strategy, managing and coaching data scientists to drive business growth.

Responsibilities

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 and AI: 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 are rigorously tracked and evaluated through an AI-native lens.
Support experimentation and decision-making: support inferential analyses and experimentation (e.g., A/B tests, segmentation, funnel analysis), ensuring findings are actionable and aligned to strategic goals.
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.
Strengthen the data craft at Gusto: champion AI-native ways of working, partner with Data Platform, Data Engineering, and ML Engineering to bring scalable, technical solutions to product problems; set team-level standards for analysis quality and documentation.

10+ years of experience in data science or related fields, with at least 4 years managing and scaling high-performing data science teams.
Deep expertise in product analytics – experience with user acquisition, activation, retention, engagement, or expansion in SaaS or product-led environments.
Technical fluency – advanced coding skills, practical experience with AI tools and workflows, strong statistical reasoning, and familiarity with experimentation frameworks; ability to mentor data scientists on best practices.
Strategic and business acumen – demonstrated ability to connect insights to product and business goals, and to influence roadmaps through data.
Executive communication skills – proven experience presenting insights to senior stakeholders, turning complex data into clear and actionable recommendations.
Cross-functional collaboration – history of working closely with Product, Engineering, and go-to-market teams to drive decisions and deliver impact.
Experience with ML applications in product contexts (e.g., personalization, churn prediction, customer segmentation) is a plus.
Familiarity with multi-product SaaS ecosystems and customer lifecycle analytics is desirable.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role).