Chartmetric

Chartmetric

Senior Product Manager, Sports

San Mateo, CA · Senior

Sponsorship not specifiedDetected 8 hours ago
PythonSQLData AnalysisData EngineeringData VisualizationProduct ManagementResearchLeadership

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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About the role

  • You'll be accountable for whether the product earns real usage and revenue.
  • You'll be close to the data and the customers, prototype ideas yourself when it's faster than writing a spec, and stay involved from discovery through launch and iteration.
  • You won't need to know our music business.

Responsibilities

  • Own the sports product.
  • Synthesize what you learn from customer calls, sales conversations, support tickets, product usage, churn, market trends, and competitor moves.
  • Build products around fandom and audience.
  • Shape how we measure and surface athlete, team, and league audiences, fan engagement, social growth, and brand affinity in ways that drive real decisions for sports marketers and partners.
  • Use AI coding tools like Cursor, Claude Code, Replit, or Lovable to build functional prototypes, internal tools, and demos yourself.
  • Write SQL, explore datasets, and build your own analyses and dashboards to understand sports audiences, fan behavior, and product usage.
  • Partner with data engineering on what we collect and how it's modeled, define product metrics, and spot when a number doesn't add up.

Requirements

  • 5+ years in product management
  • You have 5+ years in product management and can point to products you took from idea to real adoption.
  • You pull insight from many sources, including interviews, usage data, sales feedback, market research, and industry trends, and you know how to weigh conflicting signals.
  • You can explain why you believe something, and you change your mind when the evidence does.
  • You know sports.
  • You can work with analytics and engineering teams on how data is collected and modeled, write SQL or work with someone who does, and recognize when a number doesn't make sense.
  • Music-industry experience is not required.

Nice to have

  • Experience with data or analytics products, B2B SaaS, social and audience data, or AI-native products is a plus.

Benefits

  • Set the vision, strategy, and roadmap for our sports offering.

Company info

  • About Chartmetric
  • Chartmetric is one of the music industry's leading data analytics platforms, trusted by more than 8,000 customers, including major labels, management firms, and music professionals around the world.
  • Over the past decade, we've built a global data platform spanning streaming, social media, radio, playlists, charts, and audiences.
  • Today, we have more than $11M in annual recurring revenue, a profitable business, and a lean, globally distributed team across the U.S. and Korea.
  • We're now entering a new chapter.
  • Alongside our core analytics platform, we're building AI-native products like Chartmetric Flow and expanding beyond music into sports with Sportsmetric, bringing the same depth of audience and fandom intelligence to athletes, teams, leagues, and the brands that work with them.
  • We're established enough to have meaningful scale and real customers, and small enough that your work can directly shape the company.
  • Decide which customers we serve first, which problems we solve, and what we say no to.
  • Separate what customers say from what they actually need, and use that to make clear product bets.
  • Put real, clickable products in front of customers and engineers instead of static specs, and validate ideas before committing the team to them.

Visa & Work Authorization

  • You've built or managed products in sports, ideally around sports marketing, sponsorship, audience analytics, fan engagement, or fandom
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This listing is sourced directly from Chartmetric's careers page and normalized into a canonical job model.