Head of Product Analytics - VenturaOS

About the Role

Key Responsibilities

• Define the analytics vision and roadmap for VenturaOS, in partnership with product, design, engineering, and executive leadership
• Lead the development of key metrics and frameworks that measure user behavior, content engagement, and system performance across devices
• Act as a thought partner in product development, from feature instrumentation and dashboard design to experimentation and data interpretation
• Grow, lead and mentor a team of product analysts while continuing to contribute individually - this is a player-coach role
• Design and guide product experimentation strategy, partnering with data science and engineering to scale experimentation infrastructure
• Establish clear measurement plans for new product features and capabilities - including navigation, personalization, search, and discovery
• Translate complex data findings into actionable insights and compelling narratives for executive-level decision-making
• Champion data quality and standardization across the platform to enable trusted, scalable analytics

Requirements

• 8+ years of experience in product analytics, data science, or a related quantitative role
• 3+ years of team leadership experience; ideally in startup or high-growth environment
• Experience with consumer-facing platforms, ideally in TV, mobile, OS, or media-tech domains
• Proven ability to operate at multiple altitudes - from executive strategy to detailed dashboard specs and model validation
• Expertise in experimentation design, statistical analysis, and metric development
• Fluency in SQL and experience with tools such as Looker, dbt, Snowflake, Amplitude, or similar
• Excellent communication and storytelling skills, with the ability to align diverse stakeholders around insights and outcomes
• Passion for building data-driven products that reach millions of users

Nice to Have

• Experience in high-growth startup environments
• Experience with content discovery, personalization, or search features
• Familiarity with data science collaboration and experimentation infrastructure

Qualifications

• Educational background in a quantitative field (implied by experience in data science or analytics)

Benefits & Perks

• Competitive base salary, equity, and benefits
• Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents
• Retirement benefits such as a 401k plan and company match
• Short and long-term disability coverage
• Basic life insurance
• Well-being benefits
• Reimbursement for certain tuition expenses
• Parental leave
• Sick time of 1 hour per 30 hours worked
• Vacation time up to 120 hours in the first year and 160 hours thereafter
• Around 13 paid holidays per year
• Employee Stock Purchase Plan