Warner Bros. Discovery
Staff Product Manager - ML Driven Experiences
Warner Bros. Discovery, New York, New York, us, 10261
Overview
Welcome to Warner Bros. Discovery. We are a global media and entertainment company with a mission to be the premier streaming and content leader. The Global Product and Design group is responsible for the global streaming platform that supports all video products our fans love. We plan, design and build for connected TVs, web, mobile, tablets, and consoles, and operate as one company with one mission. You will be part of a team of Product Leaders focused on Consumer Algorithms across Personalization, Search, Content Discovery, Experimentation, Retention and AI-driven productivity improvements. We are hiring a Staff Product Manager to lead our ML efforts to understand customers better — who they are, their preferences and engagement health. This then feeds into multiple applications enabling a better customer experience e.g. personalization and marketing. You will own the strategy, prioritization and buildout of ML models for HBO Max and other WBD Streaming products worldwide, helping us scale to >100M customers and be amongst the top streaming companies. You will work closely with Data Science and ML Leads, and partner with product managers and business teams focused on driving engagement and customer loyalty. You will own your roadmap for your area and communicate on behalf of the area with stakeholders and executive leadership. Role candidates should have experience launching high-performance, scaled ML models serving different aspects of the consumer lifecycle in direct-to-consumer services serving millions of customers. They should have an engineering / applied science background and/or experience working with scientists to build and optimize ML-driven experiences. They are strategic, data-driven decision-makers who can connect their org’s strategy to business goals, and who communicate effectively at all levels. They are collaborators who mentor others and drive cross-functional execution. Your Role Accountabilities
Define and own the long-term ML strategy for customer understanding (preferences, engagement health) aligned to streaming growth goals.
Translate company objectives into product priorities that enable personalization, marketing, and engagement improvements.
Own and deliver the roadmap for customer understanding ML models across HBO Max and global streaming products.
Drive prioritization and execution with Data Science, ML Engineering, and partner PMs to ship scalable, production-grade models.
Act as the accountable owner for this ML domain, presenting strategy, progress, and trade-offs to executives and stakeholders.
Build strong partnerships with product teams across Personalization, Growth, Content Discovery, Marketing and Content Strategy to drive impact.
Make and resolve key technical, strategic, and business trade-offs balancing short-term outcomes with long-term investment.
Ensure all decisions are data-driven, transparent, and grounded in measurable customer and business value.
Mentor PMs, TPMs, engineers, and data scientists to raise the bar in ML product management and cross-functional execution.
Foster a collaborative culture that accelerates decision-making and increases team and partner productivity.
Deliver measurable improvements in engagement, retention and churn reduction through ML-driven capabilities.
Scale ML systems to reliably support >100M global customers and contribute to WBD’s position as a top streaming platform.
Qualifications & Experience
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, UX treatments, and business outcomes.
Excellent communicator who can synthesize complexity for a range of audiences, from executives to engineers.
Experience leading cross-functional teams in agile environments; familiarity with tools like Jira and Confluence.
Bachelor’s or MS in Computer Science, Data Science, Engineering, or a related technical field (preferred but not required).
How We Get Things Done
This section describes our guiding principles and core values. You can review them at www.wbd.com/guiding-principles/ and discuss them during your interview. Championing Inclusion at WBD
Warner Bros. Discovery embraces a diverse workforce and is an equal opportunity employer. We consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, genetic information, marital status, citizenship status, military status, or any other protected category. If you require adjustments or accommodations during the application or recruitment process, please visit our accessibility page for instructions to submit your request.
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Welcome to Warner Bros. Discovery. We are a global media and entertainment company with a mission to be the premier streaming and content leader. The Global Product and Design group is responsible for the global streaming platform that supports all video products our fans love. We plan, design and build for connected TVs, web, mobile, tablets, and consoles, and operate as one company with one mission. You will be part of a team of Product Leaders focused on Consumer Algorithms across Personalization, Search, Content Discovery, Experimentation, Retention and AI-driven productivity improvements. We are hiring a Staff Product Manager to lead our ML efforts to understand customers better — who they are, their preferences and engagement health. This then feeds into multiple applications enabling a better customer experience e.g. personalization and marketing. You will own the strategy, prioritization and buildout of ML models for HBO Max and other WBD Streaming products worldwide, helping us scale to >100M customers and be amongst the top streaming companies. You will work closely with Data Science and ML Leads, and partner with product managers and business teams focused on driving engagement and customer loyalty. You will own your roadmap for your area and communicate on behalf of the area with stakeholders and executive leadership. Role candidates should have experience launching high-performance, scaled ML models serving different aspects of the consumer lifecycle in direct-to-consumer services serving millions of customers. They should have an engineering / applied science background and/or experience working with scientists to build and optimize ML-driven experiences. They are strategic, data-driven decision-makers who can connect their org’s strategy to business goals, and who communicate effectively at all levels. They are collaborators who mentor others and drive cross-functional execution. Your Role Accountabilities
Define and own the long-term ML strategy for customer understanding (preferences, engagement health) aligned to streaming growth goals.
Translate company objectives into product priorities that enable personalization, marketing, and engagement improvements.
Own and deliver the roadmap for customer understanding ML models across HBO Max and global streaming products.
Drive prioritization and execution with Data Science, ML Engineering, and partner PMs to ship scalable, production-grade models.
Act as the accountable owner for this ML domain, presenting strategy, progress, and trade-offs to executives and stakeholders.
Build strong partnerships with product teams across Personalization, Growth, Content Discovery, Marketing and Content Strategy to drive impact.
Make and resolve key technical, strategic, and business trade-offs balancing short-term outcomes with long-term investment.
Ensure all decisions are data-driven, transparent, and grounded in measurable customer and business value.
Mentor PMs, TPMs, engineers, and data scientists to raise the bar in ML product management and cross-functional execution.
Foster a collaborative culture that accelerates decision-making and increases team and partner productivity.
Deliver measurable improvements in engagement, retention and churn reduction through ML-driven capabilities.
Scale ML systems to reliably support >100M global customers and contribute to WBD’s position as a top streaming platform.
Qualifications & Experience
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, UX treatments, and business outcomes.
Excellent communicator who can synthesize complexity for a range of audiences, from executives to engineers.
Experience leading cross-functional teams in agile environments; familiarity with tools like Jira and Confluence.
Bachelor’s or MS in Computer Science, Data Science, Engineering, or a related technical field (preferred but not required).
How We Get Things Done
This section describes our guiding principles and core values. You can review them at www.wbd.com/guiding-principles/ and discuss them during your interview. Championing Inclusion at WBD
Warner Bros. Discovery embraces a diverse workforce and is an equal opportunity employer. We consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, genetic information, marital status, citizenship status, military status, or any other protected category. If you require adjustments or accommodations during the application or recruitment process, please visit our accessibility page for instructions to submit your request.
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