Head of Growth - Product Analytics

Head of Growth – Product Analytics

Company	Gusto
Location	Seattle, WA, USA, Toronto, ON, Canada, San Francisco, CA, USA, Austin, TX, USA, Los Angeles, CA, USA, Miami, FL, USA, Chicago, IL, USA, New York, NY, USA, Denver, CO, USA, Atlanta, GA, USA
Salary	$158000 – $231000
Type	Full-Time
Degrees
Experience Level	Expert or higher

9+ years of experience in data science, analytics, or related fields, with at least 4+ years leading a growing analytics team.
Deep expertise in Growth domains – strong understanding of user acquisition, funnel analytics, activation, retention, and expansion in a product-led or SaaS environment.
Technical expertise – strong SQL skills, comfort with experimentation frameworks, and ability to mentor analysts and data scientists on best practices.
Strong strategic and business acumen – able to connect data insights to business goals and partner effectively with cross-functional leaders.
Ability to communicate data effectively – experience presenting to executive stakeholders, translating complex findings into clear, compelling recommendations.
Experience working with cross-functional teams – particularly with Product, Marketing, and Engineering to drive data-driven decisions.
Experience with ML-driven growth strategies (e.g., personalized recommendations, churn prediction, customer segmentation).
Familiarity with multi-product SaaS ecosystems and lifecycle marketing analytics.

Lead the Growth Data Analytics team – hire, develop, and coach a team of 5+ data analysts and data scientists driving insights across acquisition, conversion, onboarding, and expansion.
Partner with key stakeholders – work closely with Product, Engineering, Marketing, Sales, Revenue Operations and Finance to develop data-driven growth strategies.
Develop and scale measurement frameworks – define KPIs and ensure our growth initiatives are tracked, measured, and optimized effectively.
Support experimentation and decision-making – e.g. drive A/B testing strategies, user segmentation, and funnel analysis to optimize our customer journey.
Balance strategic impact with hands-on work – be comfortable diving deep into data, reviewing analysis details, coaching team members, and providing clear, actionable recommendations.
Influence senior leadership – communicate insights and recommendations to executives, helping to shape growth strategy and investment decisions.
Be ready to roll up their sleeves, dive into the data, and support impactful analyses alongside their team to help unblock critical Growth strategic initiatives.
Act as a connective tissue across the data org – identify opportunities where deeper technical solutions (e.g., from Data Platform, Analytics Engineering, Data Science, or ML Engineering) could accelerate growth, and proactively bring the right partners into the conversation.

No preferred qualifications provided.