Staff Product Manager - Personalization & Recommendations

About the role

We are seeking a highly skilled and motivated Staff Product Manager to join our team and lead the development and enhancement of our personalization services. As a Staff 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.

Responsibilities

As a key contributor for personalization at WBD, you will:

• 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 viewer 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 major personalization capabilities, ensuring internal readiness, high-quality rollout, and learning-based iteration cycles.

Qualifications

The ideal candidate has:

• 8+ 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.
• Strong technical fluency—able to engage meaningfully with engineering and data science on ranking models, data pipelines, 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.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field (preferred but not required).

Pay

Pay Range: $147,000.00 - $273,000.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.