Warner Bros. Discovery
Staff Product Manager - Growth AI & ML
Warner Bros. Discovery, Bellevue, Washington, us, 98009
Overview
At Warner Bros. Discovery, we bring stories to life through cutting‑edge technology and creative talent. HBO Max, part of our global streaming brand, is one of the world’s most iconic entertainment platforms, delivering bold originals and unforgettable content across 90+ countries. We’re seeking a visionary product manager to help shape the next generation of personalized experiences.
Your New Role We are seeking a visionary AI/ML Product Manager to lead the development of HBO Max’s Growth AI/ML platform. You will shape the end‑to‑end strategy for personalized experiences that drive subscriber acquisition, retention, and lifetime value. This role is highly cross‑functional and technically complex, requiring comfort across machine learning infrastructure, experimentation, pricing, platform limitations, and global business needs.
You will own the personalization strategy that powers key subscriber flows, collaborating closely with ML Engineers, Data Science, and Growth Product teams to turn predictive models into scalable decision‑making systems. With your deep product background, you’ll investigate, consume data, evaluate opportunities and write technical requirements for Engineering and ensure smooth implementation across product surfaces. You’ll play a key role in shaping roadmaps, informing monetization strategy, and delivering a cohesive experience across the subscriber journey.
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, time‑bound sampling, re‑engagement, upsell, and retention strategies.
Execution and Delivery
Collaborate with Data Science and ML Engineers to design and deploy predictive models (e.g., take‑rate models, contextual bandits) that inform messaging, 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 ML features 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 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.
Integrate and leverage modern AI productivity tools (Claude, Lovable, Replit, n8n, Zapier) and protocols (MCP) to accelerate product development and experimentation.
Qualifications & Experience
7+ years of product management experience in subscription, growth, monetization, or AI/ML‑driven products.
Proven track record of partnering with Data Science and Engineering to launch AI/ML‑powered features at scale.
Hands‑on experience with experimentation frameworks (A/B testing, multi‑armed bandits, holdouts), especially for lifecycle and offer optimization.
Ability to rapidly prototype solutions from prompt to working code using AI productivity tools (Claude, Lovable, Replit, n8n, Zapier) and familiarity with MCP protocol.
Experience creating and deploying AI agents to automate workflows and enhance product capabilities.
Strong product intuition with the ability to balance data, model performance, business goals, and user experience.
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.
Growth‑oriented mindset with a passion for rapid experimentation, data‑driven iteration, and scaling successful AI/ML initiatives across global markets.
How We Get Things Done 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
wbd.com/guiding-principles
along with insights from the team on what they mean and how they show up in day‑to‑day work.
Championing Inclusion at WBD Warner Bros. Discovery embraces an 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.
Compensation In compliance with local law, we are disclosing the compensation range for this role: $140,000.00 - $260,000.00 per year. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Additional rewards may include annual bonuses, short‑ and long‑term incentives, and program‑specific awards. Benefits include health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time, and vacation.
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Your New Role We are seeking a visionary AI/ML Product Manager to lead the development of HBO Max’s Growth AI/ML platform. You will shape the end‑to‑end strategy for personalized experiences that drive subscriber acquisition, retention, and lifetime value. This role is highly cross‑functional and technically complex, requiring comfort across machine learning infrastructure, experimentation, pricing, platform limitations, and global business needs.
You will own the personalization strategy that powers key subscriber flows, collaborating closely with ML Engineers, Data Science, and Growth Product teams to turn predictive models into scalable decision‑making systems. With your deep product background, you’ll investigate, consume data, evaluate opportunities and write technical requirements for Engineering and ensure smooth implementation across product surfaces. You’ll play a key role in shaping roadmaps, informing monetization strategy, and delivering a cohesive experience across the subscriber journey.
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, time‑bound sampling, re‑engagement, upsell, and retention strategies.
Execution and Delivery
Collaborate with Data Science and ML Engineers to design and deploy predictive models (e.g., take‑rate models, contextual bandits) that inform messaging, 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 ML features 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 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.
Integrate and leverage modern AI productivity tools (Claude, Lovable, Replit, n8n, Zapier) and protocols (MCP) to accelerate product development and experimentation.
Qualifications & Experience
7+ years of product management experience in subscription, growth, monetization, or AI/ML‑driven products.
Proven track record of partnering with Data Science and Engineering to launch AI/ML‑powered features at scale.
Hands‑on experience with experimentation frameworks (A/B testing, multi‑armed bandits, holdouts), especially for lifecycle and offer optimization.
Ability to rapidly prototype solutions from prompt to working code using AI productivity tools (Claude, Lovable, Replit, n8n, Zapier) and familiarity with MCP protocol.
Experience creating and deploying AI agents to automate workflows and enhance product capabilities.
Strong product intuition with the ability to balance data, model performance, business goals, and user experience.
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.
Growth‑oriented mindset with a passion for rapid experimentation, data‑driven iteration, and scaling successful AI/ML initiatives across global markets.
How We Get Things Done 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
wbd.com/guiding-principles
along with insights from the team on what they mean and how they show up in day‑to‑day work.
Championing Inclusion at WBD Warner Bros. Discovery embraces an 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.
Compensation In compliance with local law, we are disclosing the compensation range for this role: $140,000.00 - $260,000.00 per year. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Additional rewards may include annual bonuses, short‑ and long‑term incentives, and program‑specific awards. Benefits include health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time, and vacation.
#J-18808-Ljbffr