Responsibilities

• Lead and scale a team of product analysts, ensuring analytical excellence, mentorship, and a strong culture of learning and impact
• Define the vision, strategy, and roadmap for product analytics at GlossGenius, aligning with company and product objectives
• Partner with Product, Design, Engineering, and AI/ML leadership to define key success metrics, frameworks, and methodologies for evaluating new features and AI-powered experiences
• Guide the design and interpretation of sophisticated experiments (A/B tests, multivariate tests, model-driven evaluations) to assess product performance and inform roadmap prioritization
• Develop and standardize analytical frameworks and reporting to measure product health, customer engagement, retention, and business growth across multiple product areas
• Collaborate with Data Engineering and Analytics Engineering to evolve GlossGenius’s data infrastructure, event taxonomy, and self-service analytics capabilities
• Act as a trusted thought partner to senior executives—translating data-driven insights into actionable strategies that influence product direction and long-term business decisions
• Build scalable analytics processes and systems that enable consistency, speed, and accuracy across product teams
• Champion a culture of experimentation and data fluency across the organization, empowering teams to test, learn, and iterate rapidly
• Lead cross-functional alignment on analytics priorities, ensuring resources are focused on the highest-impact opportunities for product and customer growth

Requirements

• 8+ years of experience in analytics or data science roles, with at least 2+ years leading and growing high-performing analytics teams
• Proven experience building or scaling a product analytics function at a fast-growing SaaS or consumer technology company
• Deep expertise in SQL and experience analyzing complex event-based datasets
• Hands-on experience designing and interpreting experiments (A/B testing, multivariate analysis) and strong statistical foundations
• Strong product intuition and business acumen with demonstrated success influencing product strategy through data
• Excellent communication and storytelling skills—able to engage and influence senior stakeholders with clarity and conviction
• Experience partnering closely with Data Engineering and Analytics Engineering to evolve data models, instrumentation, and analytics infrastructure
• Excitement about leading at the forefront of AI-first product development and defining how analytics measures intelligence-driven user experiences

Benefits

• Flexible PTO
• Competitive health & dental insurance options, with premiums partially covered
• Fertility and adoption benefits via Carrot and Kindbody
• Generous, fully-paid parental leave policy
• 401k benefit - employees are eligible to contribute starting day 1 of employment
• Professional Development stipend for approved learning and educational-related expenses
• Pre-tax commuter benefits
• Dependent Care FSA
• Home office stipend
• Team Bonding opportunities throughout the year, both virtual and in person