Staff Product Manager - Messaging Machine Learning & AI

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.

About Global Product and Design within Streaming and Games

Central to the mission of the Streaming and Games Team, 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 HBO Max and together with our cross-functional collaborators we operate as one company with one mission to be the premier media and entertainment leader globally. As a member of our Growth Product team, your core mission is to drive growth by educating our customers about new content, features, and functionality that will delight & engage them

• Set Vision & Strategy: Define and own the product strategy for Machine Learning and AI decisioning, partnering with Engineering, Design, Product, and Marketing to drive customers to their next best action, whether its content they'll love or information about their membership.

• Messaging ML Execution & 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 which campaign to send, but through what channel and at what time. Translate model outputs into ranking and eligibility policies that integrate with messaging & CRM systems.

• Measurement & 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 messaging strategies over time.

• Infrastructure & Enablement: Define product requirements for decision engines, orchestration, and self-serve tools that enable non-technical partners to configure campaigns within guardrails. Partner with Engineering and Data Platform teams to ensure infrastructure is scalable, performant, and adaptable across global markets.

• Stakeholder Management & Communication: Communicate progress, risks, and opportunities to senior leadership and other stakeholders, advocating for the consumer messaging vision & trade-offs.

• 8+ years of product management experience in CRM, growth, monetization, or ML/AI-driven products.

• Proven track record of partnering with Data Science and Engineering to launch ML-powered features and models at scale.

• Hands-on experience with experimentation frameworks (e.g., A/B testing, multi-armed bandits, holdouts), especially for CRM and lifecycle communications.

• 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 automated and ML-driven campaigns are delivered with clarity, consistency, and impact.

• Strong Technical Acumen: Comfortable working with backend systems, data infrastructure, and multi-platform environments (web, mobile, CTV).

• Outstanding Communication Skills: Strong communicator who can influence without authority, align cross-functional teams, and bring clarity to ambiguity.

• Deeply Curious: Deep interest in personalization, behavioral science, and maximizing customer lifetime value.

• Industry Expertise: Familiarity with CRM systems & other messaging surfaces is preferred. Experience with Direct-to-consumer video and streaming subscription products is a plus.