Staff Product Manager - Growth AI & ML

Warner Bros. Discovery•Bellevue, WA

64d•$140,000 - $260,000

About The Position

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 decisioning 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.

Requirements

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.

Responsibilities

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 (e.g., Claude, Lovable, Replit, n8n, Zapier) and protocols (e.g., MCP) to accelerate product development and experimentation.