Staff Product Manager - ML Driven Experiences

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Your New Role…

The Global Product and Design group is responsible for the global streaming platform that supports all the video products our fans love. We plan, design and build for connected TVs, web, mobile phones, tablets, and consoles for a large footprint of leading products and brands. We operate as one company with one mission to be the premier media and entertainment leader globally. 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 us to provide 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.

The ideal candidate will have launched high-performance, scaled ML models serving different aspects of the consumer lifecycle, in direct to consumer services serving millions of customers. They would have an engineering / applied science background AND/OR have worked hand in hand with scientists to build and optimize complete ML-driven experiences. They are the owners of their org’s strategy, adept at connecting it to business goals and partner strategies and contribute to company direction. They are a fluent communicator of strategy and direction at all levels and experienced at setting up/managing program rhythms and mechanisms. They exhibit strong judgment in making trade-offs between customer and business needs short and long term. They are a collaborator that makes your team and partners more productive, by sharing knowledge, and helping to tie-break key strategic, technical, business, and prioritization decisions. They provide mentoring to junior and senior PMs / TPMs / Engineers, both within and outside the org.

Your Role Accountabilities…

• Define and own the long-term ML strategy for customer understanding (preferences, engagement health) tied to WBD’s streaming growth goals.

• Translate company objectives into product priorities that directly 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, and  Marketing and Content Strategy teams drive customer and business 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