Product Manager - AI & ML

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

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.

At HBO Max, storytelling takes center stage. We’re one of the world’s most iconic entertainment brands — home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what’s next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture.

HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally— and we’re just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., , Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring!

We’re looking for a Staff Product Manager to lead the development of HBO Max’s Growth Lifecycle Machine Learning initiatives. This person will be responsible for shaping the end-to-end strategy for initiatives that drive subscriber acquisition, retention, and lifetime value leveraging Machine Learning. You’ll work closely with ML Engineers, Data Science, and growth product teams to turn predictive models into scalable decisioning systems that surface the right offer, to the right user, at the right time.

This is a highly cross‑functional and technically complex role that will require comfort working across machine learning infrastructure, experimentation, pricing, platform limitations, and global business needs. You’ll own the Machine learning and personalization strategy that powers aspects of customer lifecycle journeys. With your deep commerce background, you’ll write technical requirements directly for Commerce Engineering to ensure offers are implemented smoothly across product surfaces.

You’ll play a key role in shaping roadmaps, informing monetization strategy, and delivering a cohesive experience across the subscriber journey.

• Define and own the product strategy and roadmap for ML‑driven personalization across the subscriber lifecycle.
• Translate HBO Max’s monetization and growth objectives into scalable, testable, and personalized experiences—such as upgrade prompts, discount offers, or time‑bound sampling experiences of higher‑tier plans.
• Partner with Pricing & Promotions and Commerce leadership to ensure our ML‑powered offers align with broader plan and pricing strategy.

• Partner with Data Science and ML Engineers to design and deploy predictive models (e.g., take rate models, contextual bandits) that inform not only messaging, but offer type, duration, discount level, and plan selection.
• Operationalize model outputs into product features through configurable offer logic, eligibility criteria, and business guardrails.
• Ensure smooth integration of personalized offers into existing user flows (e.g., signup, cancel, resubscribe), in partnership with PMs who own those surfaces.

• Partner with Data Science, Experimentation, and Analytics teams to define KPIs, set up experiments (A/B tests, Multi‑Armed Bandits), and interpret results to assess offer effectiveness and model accuracy.
• Iterate on models and offer strategies based on experimental results, behavioral insights, and business context.
• Maintain an always‑on learning agenda to evolve offer…