Sr. Product Manager, Data

Description

Location: Provo, UT
Type: Full-time

Angel is changing the future of American entertainment and is one of the fastest-growing Distributors in America. Our rapidly expanding library of light-amplifying stories has grown 10x in under 2 years. Gone is the old model where the deepest pockets pick the stories we share. Angel restores choice to our 3+ million guild members and growing who decide what we produce, what we take to theaters, and most importantly what parents bring to their homes.

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Angel runs on decisions that data should be making faster: which stories to greenlight, where to focus attention with theatrical campaigns, what a Guild member sees first when they open the app, and whether the thing we shipped last week actually worked.

Today that data exists. It's spread across pipelines, dashboards, and the heads of many different people. We need a product manager who will turn it into a platform: one set of trusted data, one connected knowledge base, and high trust self-serve answers for every team that needs them.

This is a high-ownership role. You'll guide the roadmap for the data team, define what awesome looks like, and work closely with the data pipelines to refine them.

• High-Growth Company: Angel is one of the fastest-growing media companies, with record-breaking independent theatrical releases and millions of streaming users worldwide. See our recent interview with Evan Shapiro
• Massive Impact: Your work will shape how audiences experience the stories they love—and help amplify light around the globe.
• Extreme Ownership: We are a team of owners and entrepreneurs. This is your chance to operate like a startup founder inside a fast-scaling media company.
• Mission-Driven Culture: We strive to amplify light in everything we do. Join a team that deeply cares about the impact of the stories we tell.
• Future of Streaming: Help build a streaming platform that competes with giants—without playing by their rules.

• Build the Angel knowledge platform
  . One place to ask a question and get a real answer, grounded in our own systems: application and analytics data, infrastructure and Datadog, build and deploy history, Notion, Slack, and the general institutional knowledge that currently lives in people's heads. Own ingestion, retrieval quality, freshness, and permissions.
• Build evaluation loops. Create feedback loops to track questions and improve answer trust and accuracy. Make it quick and easy to get trusted data.
• Own the data pipelines end to end. Ingestion, warehouse, transformation layer, semantic models, BI, and activation. Every layer has a customer and you're accountable for all of them.
• Increase platform trustworthiness. Data quality, freshness, lineage, and clear ownership of data sources. Answers that nobody trusts are worse than no answers at all.
• Make one number mean one thing
  . Define and govern the metrics the company runs on (retention, conversion, watch time, Pay It Forward rate, theatrical ROI) so finance, product, and content stop bringing three versions of the same answer to the same meeting.
• Turn data into slate decisions
  . Partner with content, theatrical, and marketing to build the reporting that informs what we greenlight, where we open, and how we spend.
• Treat internal teams as customers
  . Interview them, prioritize their requests, and measure whether they can correctly answer their own questions using AI
• Level up the experimentation. Drive forward the A/B testing platform and the practices around it. Keep it fast to launch a test, hard to read it wrong, and normal to kill a feature that didn't work.
• Set the guardrails. Identity, permissions that respect existing access, data boundaries, audit trails,…