Sport Tech & Data
Staff Product Manager, Digital Match Capture
Mid Level
New York, United States
hybrid
Full time
Job description
About the Role
Leads the digital match capture products within the Data & AI product team, working with leading global sporting leagues to build, enhance, and maintain the products that capture, process, and deliver tracking data to teams, leagues, and external developers worldwide. The postholder owns positional tracking for both first-party and third-party use-cases across the entire product lifecycle, from ideation and discovery through build, launch, and ongoing growth and improvement. Positional tracking forms the bedrock of Genius tracking-derived products, including performance, officiating, automated data collection, media visualisations, and emerging digital recreation use-cases.
Key Responsibilities
- Own positional tracking for first-party and third-party use-cases across the full product lifecycle, from ideation, discovery, and validation through build, launch, and post-launch growth and iteration.
- Operate as a platform product manager, balancing first-party and third-party requirements, treating application product managers as customers, and defining well-defined interfaces that enable both without fragmenting the platform.
- Understand customer needs across teams, leagues, external developers, and internal application teams, and develop requirements and drive delivery of positional tracking accordingly.
- Define and evangelise a clear, prioritised product roadmap for digital match capture and communicate it consistently to internal and external stakeholders.
- Collaborate closely with computer vision, systems, and data platform engineers, downstream product managers, match and venue operations, design, and business teams to deliver digital match capture initiatives on time and on budget.
- Explore next-generation capture opportunities that could improve tracking quality, coverage, automation, or downstream recreation use-cases, using evidence from prototypes, early deployments, and customer feedback to decide what to scale and what to stop.
- Provide strategic direction on data-informed, long-term investment opportunities for digital match capture, evaluating trade-offs and prioritising in consultation with cross-divisional partners.
- Balance investment across three horizons — Now (0-12 months), Next (12-36 months), and Future (36+ months) — ensuring a healthy mix of incremental improvement and longer-term innovation.
- Define KPIs that drive business results, build dashboards to measure performance, and make data-driven decisions using both qualitative and quantitative analysis.
- Partner with commercial, marketing, and operations teams to support go-to-market motions with product expertise, and continuously gather feedback from teams, leagues, external developers, and application product managers and translate it into product requirements.
- Mentor less experienced product managers, raise the quality of product practice, and stay current on computer vision tracking technology, real-time data platforms, next-generation capture techniques, and competitor offerings.
Required Experience & Qualifications
- 6-12 years of relevant product management experience.
- Experience leading a complex product or platform with significant business, customer, or operational impact, including shaping strategy, driving discovery, and aligning stakeholders across teams.
- Product management experience building B2B SaaS, platform, or data products, including understanding functional requirements and building for scale, and balancing first-party and third-party (or multiple-customer) needs through well-defined interfaces.
- Strong grasp of product lifecycle mechanics: discovery, analysis, defining and driving OKRs, ideation, prioritisation, and delivering measurable outcomes.
- Experience leading complex cross-functional programmes with engineering, operations, and downstream product partners, with the ability to influence without authority and treat application teams as customers.
- Technical fluency sufficient to work with computer vision, systems, and data platform engineers on real-time products, and comfort moving between deep technical conversations and product/commercial trade-offs.
- Ability to create clarity in technically ambiguous spaces, especially where positional tracking, 3D capture, digital twins, and real-time systems begin to overlap.
- Outstanding written and oral communication skills, including experience aligning stakeholders, presenting to leadership, and supporting commercial conversations with product expertise.
- Experience working in and delivering products or services in an agile/lean environment, including backlog management (user stories, epics, and bugs).
- Proficiency in gathering and transforming product requirements into a practical, prioritised product roadmap.
- Track record of mentoring less experienced product managers, or otherwise raising the quality of product practice.
- Degree or equivalent relevant experience.
Preferred Skills
- Domain experience in sports, computer vision, real-time systems, developer/platform products, 3D capture, or digital twins.
- Familiarity with WebGPU, Unity, Unreal, or comparable engines/runtimes.
Workplace
- Office-first culture that maximises opportunities to collaborate, connect, and learn together.
- Hybrid working models differ depending on role and location.
Benefits & Perks
- Eligibility to take part in Genius Sports Group's benefits plan.
- A range of benefits alongside a competitive salary.
- Commitment to supporting employee wellbeing and helping employees grow their skills, experience, and career.
The Application Process
Genius Sports publishes guidelines on its use of AI in the hiring process and on what candidates can expect during the interview process.
- Candidates who need assistance during the recruiting process due to a disability are invited to say so when they apply.
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