Senior Product Manager

Warner Bros. Discovery

. Define the end-to-end product strategy for ML-powered personalization and discovery .

Posted 9/19/2026full-timeUnited StatesSenior💰 $126,000 - $234,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining product strategies for ML-powered personalization and discovery, with a strong focus on user engagement and retention. Proficient in leading cross-functional teams and utilizing data-driven methodologies to optimize product performance and customer satisfaction.

Highest-signal resume keywords

Product Management ExperienceML-Driven ProductsA/B Testing MethodologiesRanking ModelsAgile Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product StrategyPersonalization SystemsData PipelinesStatistical AnalysisUser ResearchBehavioral Data AnalysisKPI DefinitionRecommendation SystemsExperimentation FrameworksAlgorithmic Performance

Soft Skills

Excellent Communication SkillsCross-Functional Leadership

Tools & Technologies

JiraConfluenceML Tooling

Industry Keywords

Consumer-Facing ProductsCustomer SatisfactionEngagementRetentionFeedback Loops

About the role

Key responsibilities & impact

Define the end-to-end product strategy for ML-powered personalization and discovery
Identify opportunities aligned with WBD’s strategic goals to improve engagement, retention, and customer satisfaction
Lead roadmap development for personalization systems
Coordinate with engineering, data science, UX, and content teams to prioritize initiatives
Use experimentation, user research, and behavioral data to design and optimize personalized experiences
Manage complex ranking systems and feedback loops across product surfaces
Partner with executives, engineering leaders, data teams, and content strategists
Monitor personalization, ML tooling, and competitors’ discovery experiences
Define KPIs aligned with user value and business metrics
Lead go-to-market for personalization and recommendation capabilities
Ensure internal readiness, high-quality rollout, and iterative learning cycles

Requirements

What you’ll need

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
Strong technical fluency with ranking models, data pipelines, AI, and ML evaluation
Deep understanding of A/B testing methodologies, statistical analysis, and product experimentation frameworks
Ability to connect algorithmic performance, customer experience treatments, and business outcomes
Excellent communication skills for audiences ranging from executives to 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)

Benefits

Comp & perks

Health insurance coverage
Employee wellness program
Life and disability insurance
Retirement savings plan
Paid holidays
Sick time
Vacation
Annual bonuses
Short- and long-term incentives
Program-specific awards