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Job Description

Lead ML-powered personalization product strategy to improve how audiences discover content on HBO Max at scale.

Responsibilities

  • Own end-to-end product strategy for ML-powered personalization and discovery, aligning opportunities to WBD strategic goals and improving engagement, retention, and customer satisfaction.
  • Develop and maintain a roadmap for personalization systems, coordinating with engineering, data science, UX, and content teams to balance innovation, quality, and speed.
  • Drive customer-centric product decisions using experimentation, user research, and behavioral data to design and optimize personalized experiences across surfaces.
  • Manage ranking systems and feedback loops, understanding how user signals and content metadata flow through algorithms and shape outcomes.
  • Partner with executives, engineering leaders, data teams, and content strategists to align roadmaps, communicate outcomes, and translate product vision into execution.
  • Track trends in personalization, ML tooling, and competitors’ discovery experiences to inform roadmap priorities and strategic pivots.
  • Define and improve KPIs connecting user value to business metrics (including engagement, diversity, and relevance) using experimentation and analytics.
  • Lead go-to-market for personalization and recommendation capabilities, ensuring internal readiness, high-quality rollout, and learning-based iteration cycles.

Requirements

  • 5+ years of product management experience, with significant time on ML-driven products or content discovery systems.
  • Proven experience shipping consumer-facing personalization or recommendation systems at scale.
  • Strong technical fluency to collaborate on ranking models, data pipelines, AI/ML evaluation, and other technical areas.
  • Deep understanding of A/B testing, statistical analysis, and product experimentation frameworks.
  • Systems thinker connecting algorithmic performance to customer experience treatments and business outcomes.
  • Excellent communication skills across audiences, including executives and junior engineers.
  • Experience leading cross-functional teams in agile environments; familiarity with Jira and Confluence.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field (preferred but not required).

Core Focus: This role

  • Lead development and enhancement of personalization services on HBO Max.
  • Define product strategy, drive innovation, and deliver exceptional user experiences.
  • Guide personalized and automated recommendations to stay aligned with industry trends and customer expectations.
  • Support scaling to >100m customers and contribute to becoming a leading streaming company.
  • Identify and quantify customer problems, determine solution approaches, and run A/B tests for feature improvements.
  • Work with a team of Product Managers focused on Personalization, collaborating with Software Engineers and Data Scientists.
  • Partner with Editorial and Marketing professionals and discuss regularly with company executives.

Tools and Technologies

  • Jira
  • Confluence
  • AI
  • Machine Learning
  • ML
  • A/B testing

Compensation and Location

  • Location: San Francisco, CA (onsite)
  • Base pay range: USD 126,000 - 234,000 per year

Benefits

  • Health insurance coverage
  • Employee wellness program
  • Life and disability insurance
  • Retirement savings plan
  • Paid holidays, sick time, and vacation
  • Annual bonuses, short- and long-term incentives, and program-specific awards

Inclusion at WBD

  • Warner Bros. Discovery embraces building a workforce reflecting a wide array of perspectives, backgrounds, and experiences.
  • Equal opportunity employment based on merit, without regard to protected characteristics.
  • Reasonable accommodations available for qualified candidates with disabilities during the application and recruitment process; see the accessibility page for instructions.
  • Compensation may vary based on external market data, internal equity, location, skill set, experience, and/or performance.
  • Application consideration for candidates with arrest or conviction records in line with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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