Senior Product Manager
About the role
We are seeking a skilled and motivated Sr. Product Manager to join our team and lead the development and enhancement of our personalization services on HBO Max. As a Sr. Product Manager, you will play a pivotal role in defining the product strategy, driving innovation, and delivering exceptional user experiences. Your expertise and leadership will guide the direction of personalized and automated recommendations, ensuring they remain at the forefront of industry trends and customer expectations. Your efforts will help us scale to >100m customers and become the leading streaming company. You will identify and quantify customer problems, determine approaches to address them, and A/B test different features to solve them. You will be part of a team of Product Managers focused on Personalization, working closely with Software Engineers and Data Scientists. The team has a diverse range of skill sets, experience in AI, Machine Learning, Recommenders, related fields across streaming media, e-commerce, and from top-flight tech firms. You will partner with Editorial and Marketing professionals and discuss regularly with company executives.
Responsibilities
- Define Strategy: Own the end-to-end product strategy for ML-powered personalization and discovery. Identify opportunities that align with WBD’s strategic goals and improve engagement, retention, and customer satisfaction.
- Drive Roadmap: Lead roadmap development for personalization systems, coordinating closely with engineering, data science, UX, and content teams to prioritize initiatives that balance innovation, quality, and speed.
- Evolve the User Experience: Champion customer-centricity by leveraging experimentation, user research, and behavioral data to design and optimize personalized experiences across surfaces.
- Orchestrate Systems Thinking: Manage complex ranking systems and feedback loops. Understand how data (user signals, content metadata) flows through algorithms and influences outcomes across product surfaces.
- Stakeholder Leadership: Partner with executives, engineering leaders, data teams, and content strategists to align roadmaps, communicate outcomes, and translate vision into action.
- Benchmark and Differentiate: Monitor trends in personalization, ML tooling, and competitors’ discovery experiences to inform roadmap priorities and strategic pivots.
- Measure Impact: Define KPIs that align with both user value and business metrics (e.g., engagement, diversity, and relevance). Use experimentation and analytics to optimize performance and guide iteration.
- Launch & Iterate: Lead go-to-market for personalization & recommendation capabilities, ensuring internal readiness, high-quality rollout, and learning-based iteration cycles.
Qualifications
- 5+ years of product management experience, with significant time spent on ML-driven products or content discovery systems.
- Proven track record of shipping consumer-facing personalization or recommendation systems at scale.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field (preferred but not required).
Skills
- Strong technical fluency—able to engage meaningfully with engineering and data science on ranking models, data pipelines, AI, and ML evaluation.
- Deep understanding of A/B testing methodologies, statistical analysis, and product experimentation frameworks.
- Systems thinker who can connect the dots between algorithmic performance, customer experience treatments, and business outcomes.
- Excellent communicator who can synthesize complexity for a range of audiences, from executives to junior engineers.
- Experience leading cross-functional teams in agile environments; familiarity with tools like Jira and Confluence.
Benefits
- health insurance coverage
- employee wellness program
- life and disability insurance
- retirement savings plan
- paid