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Product Manager, Discover & Personalization (ML & AI)

Who We Are


Angel is the home of stories that amplify light. Through its platform, thousands of “Angel” investors choose which titles will be created, funded, and distributed. Angel allows creators and audiences to form passionate communities around their creative projects, making the story behind the story as important as the final project itself. Some of the studio's key projects-- The Sound of Freedom and Dry Bar Comedy --have earned billions of views around the world. Learn more at Angel.com


We’re looking for passionate team members who want to build world-class products that will reshape media over the coming decades. Learn more about:

Our North Star

Company Strategy

Team Principles

Join us and be part of stories that amplify light.


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


Why 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


$125,000 - $180,000 a year
Commensurate with experience and scope of responsibility.

Perks at Angel:


- Competitive compensation

- 100% company-paid medical, dental, and vision premiums for employees and dependents

- Short, and Long Term Disability Insurance and Basic Life Insurance paid for employee, with option of additional AD&D insurance

- Generous Paid Time Off

- Health Spending Account (HSA)

- 401(k) investment opportunity with employer match

- Paid parental leave

- Identity Theft Insurance

- Pet Insurance



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.




Angel is an Equal Opportunity Employer:


At Angel, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates.

Average salary estimate

$152500 / YEARLY (est.)
min
max
$125000K
$180000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Full-time, onsite
DATE POSTED
March 25, 2026
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