Product Manager, Discover & Personalization (ML & AI)

Expectations at Angel:

• Amplify light in every action.
• As the owner of your outcomes, you are empowered to break down silos and coordinate with any and all people you need in order to reach your goals. 
• You are ultimately responsible for achieving the outcomes while also using resources wisely - whether that be money, people, or time.
• Know your customer - it might be our viewers, investors, creators, or internal Angel Teams. Ensure you understand your customer and are providing what THEY need and not just what you want to build. 
• You OWN the success of your team members, including hiring, onboarding, goals, performance management, raises, terminations, etc.
• Hold team members accountable to their goals - help them grow and make the most of the resources they bring. Document their performance for reviews. 
• Create opportunities for team members to take initiative and ownership. 
• Give consistent and timely candid feedback with compassion - your team members need to know where they stand at all times. If you find yourself doubting a team member, address it swiftly with actionable feedback.
• Contributes in a way that moves the Angel mission forward and exemplifies the team qualities required for working at Angel.
• When faced with roadblocks, mistakes or unforeseen circumstances, consistently and proactively find creative solutions and/or break down barriers to handle the challenge or complication. (Focus is on creating/building/testing/learning/resolution rather than getting stuck and identifying or placing blame).

What You'll Do

• 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'll 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

Why You'll Love Angel

• You’ll help build a platform where technology serves storytelling, and audiences help choose what gets made
• You'll establish the strategic foundation for how Angel entertainment leverages AI responsibly and effectively
• You'll shape industry perspectives on how recommendation systems can serve meaning-driven content
• Your work will define best practices that influence how the broader entertainment industry thinks about algorithmic discovery
• You’ll shape how millions discover stories rooted in hope, truth, and meaning