Product Manager

Who you are

• 5+ years of product management experience building data, analytics, AI, or other technically complex products
• Proven success leading cross-functional initiatives within a large organization and delivering at pace
• A steady, decisive leadership style with strong judgment, ownership, and the ability to operate effectively in uncertainty
• Experience working with data, analytics, engineering, or data science teams to develop enterprise products
• Ability to translate complex technical concepts into clear business requirements and influence technical and non-technical stakeholders
• Bachelor’s degree in a relevant field or equivalent practical experience
• Master’s degree or other postgraduate education
• Technical fluency — working knowledge of data science & data analytics processes to validate data, metrics, and analytical outputs (a deep engineering background is not required)
• Up-to-date knowledge of emerging AI/LLM technologies and vendor ecosystems. Proficiency in leveraging agentic workflows for data analysis, data storytelling and product management
• Experience evaluating enterprise data and AI platforms and vendors
• Experience in media, entertainment, advertising, sponsorship, or audience analytics

What the job involves

• The Data Analytics team is seeking a Product Manager to serve as the team’s dedicated product lead. You will own what we build and why — defining the vision, strategy, and roadmap for our data products and leading the rollout of a new generation of AI-enabled tools from a product perspective
• You will act as the product counterpart to our technical builders and as the connective tissue between the analytics team and business stakeholders across the organization
• Own the product vision, strategy, and roadmap for the Data Analytics team’s data, analytics, and AI products
• Translate complex stakeholder needs into clear priorities and product requirements, balancing business value, user needs, technical feasibility, and speed
• Lead the development and rollout of AI-native analytics capabilities, partnering across engineering, data science, analytics, and business teams
• Navigate ambiguity, create clarity, and drive complex initiatives forward with urgency in a large, matrixed organization
• Define success metrics, drive adoption and change management, and continuously improve products based on user feedback and data
• Communicate priorities, trade-offs, and recommendations to senior stakeholders, including build-versus-buy decisions

Benefits

• HEALTH: Medical, Dental and Vision benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs)
• YOURSELF: Paid time off policy including holidays, sick time, and day off for your birthday, free concert tickets
• WEALTH: 401(k) program with company match, Stock Program Reimbursement
• FAMILY: New parent programs & support including caregiver leave and baby bonus, infertility support
• CAREER: Tuition reimbursement, student loan repayment internal growth and development programs & trainings
• OTHERS: Volunteer time off, crowdfunding network