Senior Principal Product Manager, Content Discovery

Warner Bros. Discovery•San Francisco, CA

3d•$238,455 - $442,845

About The Position

Warner Bros. Discovery (WBD) is a premier global media and entertainment company. Its Streaming organization is responsible for building the products and platform capabilities that enable audiences to discover, choose, and enjoy content across various devices. The Content Discovery team is central to this mission, focusing on areas such as search, recommendations, personalization, ranking, merchandising, and experimentation across WBD's global brands and products. This role is a senior individual contributor leadership position that will shape the future of content discovery experiences and services, helping users find the right content at the right time. The position requires strategic thinking, technical depth, and the ability to evaluate and integrate cutting-edge AI models to enhance discovery algorithms, user understanding, and decisioning systems. The work will have a global impact on core customer experiences and will be visible to senior leadership.

Requirements

15+ years of product management experience, including significant experience in senior-level product leadership roles.
Deep expertise in 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 into production consumer 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 approaches remain more effective.
Excellent written, verbal, presentation, and stakeholder management skills.
Proven ability to influence senior stakeholders and lead through complexity without direct authority.
Bachelor’s or Master’s degree in computer science, engineering, data science, or a related field.

Nice To Haves

Experience in streaming media, digital entertainment, ecommerce, marketplace, or other personalization-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.

Responsibilities

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 user intent and taste, and generate more relevant, contextual, and adaptive discovery experiences.
Identify where 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.
Identify and 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.