Principal Product Manager, Artificial Intelligence & Computer Vision

PlayOn Sports is the leading platform for high school sports media, streaming live games to millions of fans and powering the next generation of prep sports experiences. We partner with schools, state associations, and athletic programs across the country to bring every play to every fan, wherever they are.

PlayOn is investing heavily in its computer vision and artificial intelligence pipeline, which transforms raw game footage into highlights, text recaps and statistics. This work sits at the intersection of live video, machine learning, and high school sports fandom, and it has the potential to fundamentally change what it means to watch a prep sports game online.

We're looking for a Principal Product Manager to take end-to-end ownership of a new product line focused on these capabilities, from strategy all the way to launch and including the operating rhythm that keeps it healthy at scale. This is a product leadership role focused on the most dynamic area in technology today. You'll set the vision, make the hard tradeoffs, and drive outcomes across engineering, data, design, and our external partners.

This role is for you if you thrive in ambiguous, high-impact environments, have a track record of turning early-stage bets into shipped products, and are energized by the idea of making high school sports moments more discoverable and meaningful.

This is an individual contributor role initially, with the expectation to grow a small team as the product line matures.

The Outcomes You Will Deliver

• A production-grade AI content pipeline, live across multiple sports.
• A sport-agnostic game data model that is PlayOn's canonical source of game intelligence.
• An operating model that runs without you in the critical path. 

What You Will Own 

• Set and own the multi-year vision for the product line, aligning business leadership, engineering, partners and vendors on scope, sequencing, and success metrics.
• Translate business goals including fan engagement and growth, content quality and coverage, and school retention and growth, into a concrete product strategy spanning computer vision capabilities, data pipelines, and fan-facing surfaces.
• Define and drive product line KPIs: accuracy benchmarks, processing latency, content coverage, and downstream product adoption.