About the role

We are seeking a Senior Principal Product Manager to lead strategy, vision, and execution for Content Discovery at Warner Bros. Discovery. This is a senior individualcontributorleadership role with broad influence across product, engineering, data science, design, editorial, marketing, analytics, and executive stakeholders.

In this role, you will shape the next generation of discovery experiences and services that help users find the right content at the right moment. You will define the strategic direction for a critical product domain,identifyhigh-value customer and business problems, and drive a portfolio of initiatives that improve how users discover and choose content across our global streaming products.

This role requires both strategic range and technical depth. You willoperateacross near-term optimization and long-term innovation, including evaluating how the latest generation of frontier models can re-imagine our content discovery algorithms, user understanding, and decisioning systems. You will help define where these models can create meaningful step-function improvements, where hybrid approaches arerequired, and how to bring those capabilities into production in a scalable, measurable, and responsible way.

Your work will influence core customerexperiences on aglobal scale and will be visible to senior leaders across the company.

The ideal candidate

The ideal candidate has deep experience leading product strategy for ML-driven consumer products at scale, particularly in content discovery, search, recommendations, personalization, ranking, or related domains. You have a strongtrack recordof defining strategy in ambiguous spaces, aligning senior stakeholders, and translating complex technical capabilities into products that drive measurable customer and business impact.

You are equallycomfortablesetting long-term vision, debating technical tradeoffs with engineering and data science, and using experimentation and analysis to sharpen product direction. You bring strong product judgment,high standards, and a clear point of view on how to build simple, effective experiences on top of sophisticated systems.

You also have a forward-looking perspective on how frontier AI models can reshape discovery experiences. You understand both the promise and the practical constraints of applying these models to real-world consumer products, and you can distinguish durable product opportunities from short-lived hype.

What you will do

• Define and drive the product strategy for Content Discovery, aligning long-term vision with company goals, user needs, and business priorities.

• Own a multi-horizon roadmap spanning foundational platform investments, user experience improvements, and next-generation discovery capabilities.

• Lead the evaluation and application of the latest frontier models to re-imagine how we understand content, understand userintentand taste, and generate more relevant, contextual, and adaptive discovery experiences.

• Identifywhere frontier models can materially improve search, recommendations, personalization, ranking, merchandising, and emerging conversational or assistive discovery experiences.

• Partner closely with engineering, data science, design, analytics, editorial, and marketing to translate strategy into product bets, execution plans, and successful launches.

• Identifyand quantify customer pain points and business opportunities through research, experimentation, market understanding, and data analysis.

• Define product principles, success metrics, and experimentation frameworks to guide prioritization and measure impact.

• Drive a user-centered approach to discovery, improving relevance, clarity, usability, and overall customer satisfaction across surfaces and devices.

• Communicate product vision, priorities, tradeoffs, progress, and results clearly to technical and non-technical audiences, including executive leadership.

• Stay ahead of industry trends, competitive shifts, and advances in AI and machine learning, and translate those signals into product direction and business advantage.

• Raise the quality bar for product thinking, experimentation, and cross-functional decision-making across the broader discovery portfolio.

Qualifications

• 15+ years of product management experience, includingsignificant experiencein senior-level product leadership roles.

• Deepexpertisein content discovery, search, recommendations, personalization, ranking, or related ML-driven consumer systems.

• Demonstrated success defining product strategy and leading complex, cross-functional initiatives that drive engagement, satisfaction, and business growth.

• Strong understanding of experimentation, metric design, and data-informed product development.

• Strong technical fluency, with the ability to engage credibly on model, data, system, and platform tradeoffs.

• Experience bringing AI or machine learning capabilities intoproductionconsumer products, ideally at large scale.

• Strong understanding of the latest generation of AI models and sound judgment about where they can transform product experiences versus where traditional approachesremainmore effective.

• Excellent written, verbal, presentation, and stakeholder management skills.

• Proven ability to influence senior stakeholders and lead through complexity without direct authority.

• Bachelors or Mastersdegree in computer science, engineering, data science, ora relatedfield.

Preferred qualifications

• Experience in streaming media, digital entertainment, ecommerce, marketplace, or otherpersonalization-heavy consumer products.

• Experience working with large-scale experimentation platforms, recommender systems, search and ranking platforms, or related ML infrastructure.

• Experience presenting product strategy, investment tradeoffs, and business impact to senior executives.

At Warner Bros. Discovery, we are reinventing how people discover and experience television, movies, sports, and news. Content Discovery is central to that transformation. If you are excited to shape the future of discovery through product leadership, machine learning, and frontier AI, we would love to hear from you.