Senior Product Manager, Sports Predictions

Underdog
$160,000 - $240,000Remote

About The Position

At Underdog, we make sports more fun. Our thesis is simple: build the best products and we’ll build the biggest company in the space, because there’s so much more to be built for sports fans. We’re just over five years in, and we’re one of the fastest-growing sports companies ever, most recently valued at $1.3B. And it’s still the early days. We’ve built and scaled multiple games and products across fantasy sports, sports betting, and prediction markets, all united in one seamless, simple, easy to use, intuitive and fun app. Underdog isn’t for everyone. One of our core values is give a sht. The people who win here are the ones who care, push, and perform. If that’s you, come join us. Winning as an Underdog is more fun. Underdog's predictions product is growing fast — connected to multiple venues, sitting on top of a firehose of sports data, and still being shaped. We're looking for a Senior PM who's spent real time thinking about market structure, grading logic, and sports data feeds to own it. This is a deeply technical, sports-first role, and there's a lot left to build. This isn't a traditional sportsbook PM job — we don't have a sportsbook. What we have is something more interesting: a predictions product that's growing fast, connected to multiple venues, and sitting on top of a firehose of sports data that needs to be shaped into great player experiences. If you want to own a complex, high-stakes product in a company that moves quickly and takes sports seriously, this is it.

Requirements

  • You've worked inside a sportsbook, DFS platform, or predictions product and know what the back end actually looks like — grading logic, settlement flows, and congestion management aren't new concepts to you.
  • You've shipped a live betting product and understand what managing markets in real time actually requires — including what breaks and how to build for it.
  • You've worked directly with sports data feeds (SportRadar or similar) and have an intuitive sense of how sports data is structured and what you can do with it.
  • You write clearly and can align stakeholders, draft sharp specs, and keep things moving in a high-volume environment without losing the thread.
  • You're fluent enough in A/B testing and product analytics to own your own experiments and draw real conclusions from them.
  • You're a genuine sports fan who cares about getting the details right.

Nice To Haves

  • Experience working across multiple market venues or exchange-style products.
  • Exposure to RFQ or exchange-style pricing mechanics.
  • Familiarity with probability and prediction market concepts.

Responsibilities

  • Own the end-to-end market lifecycle — creation, management, grading, and settlement — across all Underdog prediction surfaces, so markets are accurate, timely, and operationally sound at scale.
  • Centralize and orchestrate market data across Underdog Fantasy, Underdog Exchange, Crypto.com, and their respective RFQ market centers, making a complex multi-venue system feel coherent.
  • Shape how markets are priced, structured, and evolved over time in close partnership with the Exchange team — this means getting into probability modeling and prediction market mechanics, not just surface-level product decisions.
  • Own the live and in-game product experience from pre-game slate construction through real-time market updates, live line movement, and in-play editing as games unfold.
  • Drive bet mix strategy using A/B tests and analytics — understanding what players are picking, why, and how to continuously improve market quality and engagement.

Benefits

  • Unlimited PTO for full-time employees (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
  • 16 weeks of fully paid parental leave
  • Home office stipend
  • A connected virtual-first culture with a highly engaged distributed workforce
  • 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents
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