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.
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., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring!
Your New Role...
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.
Your Role Accountabilities...
Strategy and Vision:
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.
Execution and Delivery:
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.
Measurement and Optimization
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 personalization strategies over time.
Infrastructure and Enablement:
Define product requirements for offer experiences, as well as the systems that support ML-powered offer delivery—including feature pipelines, targeting infrastructure, and override controls.
Partner with Engineering and Data Platform teams to ensure infrastructure is scalable, performant, and adaptable across global markets.
Advocate for tools and systems that enable non-technical teams to configure, test, and manage offers safely and effectively.
Qualifications & Experience...
8+ years of product management experience in subscription, growth, monetization, or ML/AI-driven products.
Proven track record of partnering with Data Science and Engineering to launch ML-powered features at scale.
Hands-on experience with experimentation frameworks (e.g., A/B testing, multi-armed bandits, holdouts), especially for lifecycle and offer optimization.
Strong product intuition with the ability to balance data, model performance, business goals, and user experience.
Ability to write clear end-to-end product requirements—from backend offer logic to front-end presentation and messaging—ensuring ML-personalized offers are delivered with clarity, consistency, and impact.
Comfortable working with backend systems, data infrastructure, and multi-platform environments (web, mobile, CTV).
Strong communicator who can influence without authority, align cross-functional teams, and bring clarity to ambiguity.
Deep interest in personalization, behavioral science, and maximizing customer lifetime value.
How We Get Things Done…
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to 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, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $140,000.00 - $260,000.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.