Product Manager - Discover & Personalization (ML & AI)

This is a Full Time Job

Product Manager, Discover & Personalization (ML & AI)

Office: Provo

Summary/objective:

This role serves as the company's thought leader and strategic advisor on ML/AI-powered personalization, shaping not just our product roadmap but influencing how the entertainment industry thinks about algorithmic discovery.

• Serve as Angel's subject matter expert and internal advisor on recommendation systems, ML/AI personalization, and discovery best practices

• Define and evangelize the strategic vision for how AI should serve storytelling across the platform

• Advise leadership on ML/AI investment priorities, capability gaps, and competitive positioning

• Represent Angel's POV externally through industry connections, thought leadership content, and strategic partnerships

• Mentor and guide other PMs and cross-functional teams on ML/AI product principles and best practices

What You'll Own

Discovery, Platform-Wide

• Define the strategic vision and long-term roadmap for Discover across all Angel surfaces, serving as the authoritative voice on how algorithmic systems should evolve to serve our mission''

• Define how algorithmic recommendations surface films, shows, specials, and community-driven moments

• Ensure Discover feels intelligent, intentional, and trustworthy across every surface

Machine Learning in Practice

• Operate at the center of ML- and AI-powered personalization

• Translate recommender models, rankings, embeddings, and signals into clear, testable product experiences

• Provide strategic guidance and technical leadership to data science and engineering teams, establishing best practices and architectural principles for ML-powered personalization across the organization

Metrics that Matter

• Set the strategic framework for how we measure discovery success, balancing short-term metrics with long-term platform health, user trust, and brand differentiation

• Design and run experiments, analyze cohorts, and turn insights into action

• Balance short-term optimization with long-term system health and user trust

What You Bring
• 12 years of Product Management experience, with a recognized track record of defining category-leading ML/AI product experiences
• Strong fluency in recommendation systems, machine learning concepts, experimentation, and metrics
• Comfort operating in complex, evolving systems where learning never stops
• Recognized expertise in recommendation systems and personalization-you're known in the industry for your work
• Proven ability to influence at the executive level and drive organizational alignment around complex technical strategies
• Track record of mentoring and elevating other product managers and cross-functional partners
• Experience establishing frameworks, best practices, and strategic principles that shape how entire organizations approach ML/AI product development
• Thought leadership through speaking, writing, or other forms of industry contribution
• A bias toward clarity, iteration, and shipping

Other duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the team member for this job. Duties, responsibilities and activities may change at any time with or without notice.