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Product Manager II (Soccer)

AI Summary
Teamworks is seeking a Product Manager II to own and scale Player ID, a soccer talent-identification product used to support scouting, recruitment, and squad-planning decisions. The role owns the full product lifecycle, including strategy, prioritization, delivery, adoption, and iteration as the product expands within the Teamworks platform. This manager will translate complex player data, models, APIs, and workflows into clear B2B SaaS experiences for clubs, while partnering closely with data, engineering, sales, and customer-success teams. Success requires strong product judgment, technical fluency, product analytics expertise, and the ability to build alignment amid ambiguity. Soccer-domain experience and practical use of AI tools in product work are preferred.
Remote from
UK, USA
Salary
USD 161k–161k / yr
Employment
Full Time
Experience
Open level
Published
Apply before
9 Dec 2026
Listing views
27
Application actions
3
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Opportunity details

About this role.

We’re hiring a Product Manager to own and scale Player ID, Teamworks‘ soccer talent identification product. Player ID builds on technology proven with elite clubs and helps teams turn complex player data into better scouting, recruitment, and squad-building decisions. I’m Paul Gagnon, Manager, Product at Teamworks.

This is a build-and-scale role with true ownership. You’ll bring an established product into the broader Teamworks platform, shape it for a wider global market, and work across Data Science, Software Engineering, Data Engineering, and go-to-market teams to turn sophisticated data into a product clubs can use and trust.

The Role

  • Own the end-to-end product development lifecycle for Player ID, from product strategy and prioritization through delivery, adoption, and iteration, with soccer as your core market

  • Partner with Data Science, Data Engineering, Data Product, and Product Engineering to turn complex player data and models into clear, actionable product experiences for clubs

  • Bring proven legacy capabilities into the Teamworks platform, shaping the product experience, roadmap, and packaging without starting from scratch

  • Work with Sales, Customer Success, and Product Success to understand the market, balance client feedback with a strong product point of view, and scale Player ID across global soccer markets

  • Engage directly with club analysts, scouts, and sporting directors to understand how they work and validate the product

What I’m Looking For

What You Must Bring

  • 5+ years of professional product management experience owning and shipping a product used by external customers, ideally one with meaningful technical or data complexity

  • The technical fluency to engage credibly across the full product lifecycle, from raw data and models through APIs, workflows, and the front-end experience

  • Experience owning a product end to end in a B2B SaaS environment, from strategy and discovery through delivery and adoption

  • Strong product judgment and a history of taking ownership for outcomes, especially when information is incomplete and alignment must be built across teams

  • Ability to influence without authority and align data, engineering, and commercial partners around a clear product direction

  • Experience using product analytics (usage data, funnels, feature adoption, retention) to find insights and turn them into roadmap decisions, and to measure whether shipped work changed customer outcomes

Even Better If

  • You’ve taken a technical or data-rich product from one industry or customer segment and successfully adapted it to a new, specialized market

  • You have professional experience with soccer and have built products to inform how how clubs use data to make scouting, talent identification, recruitment, or squad planning decisions

  • You’ve worked in a startup or growth-stage environment where you influenced without authority, navigated ambiguity, and moved quickly with limited structure

  • You have real world experience using AI tools to improve/empower your own product work (discovery, specs, analysis, prototyping)

Why This Role

Player ID is not a greenfield idea waiting to be validated. It builds on a product already used by elite clubs and on Teamworks’ proven experience supporting player personnel decisions in other sports. You’ll have the opportunity to own the product end to end, shape how complex soccer data becomes useful to clubs, and scale it into a broader global market where the competitive advantage of data is still being defined.

This role is not eligible for sponsorship at this time.

Please submit your application through this posting only. We’re unable to review applications or resumes sent via email, LinkedIn, or other channels.

To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamworks employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.

About Teamworks

We’re the Operating System for Sports™, powering 7,000+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we’ve evolved from a messaging tool for college football into the leading sports tech platform, with 600+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence – helping teams recruit smarter, train better, stay compliant, and win.

Teamworks is an equal opportunity employer – if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you’ll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email talent@teamworks.com.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a high-complexity ownership role combining product strategy, data-heavy technical systems, a specialized soccer domain, and global market expansion. The manager must independently reconcile stakeholder input with a clear product direction and measurable customer outcomes.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$161,000
US market range (per year)$145k–$190k
AI insightThe ATS provides an annual base compensation amount of $161,000 USD. This sits within an estimated US market range of $145,000–$190,000 USD per year for an experienced technical B2B SaaS Product Manager with data-product ownership responsibilities.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you prioritize Player ID roadmap opportunities when club feedback conflicts with platform strategy?

I would evaluate requests against target customer segments, strategic fit, expected customer and business impact, technical effort, and supporting usage evidence. I would communicate the decision framework transparently, validate assumptions with representative clubs, and define measurable outcomes before committing delivery capacity.

Describe how you would turn a complex player-data model into a useful product experience for scouts and sporting directors.

I would begin with contextual research into the users' decisions, workflows, and confidence barriers. Then I would work with data and design partners to expose interpretable signals, provide appropriate drill-down detail and methodology context, and validate prototypes with users before measuring adoption and decision impact after release.

Which metrics would you use to assess whether a new Player ID feature is successful?

I would use a metric hierarchy that includes activation, feature adoption among target roles, repeated usage, workflow completion, retention, and qualitative confidence from clubs. I would also define a feature-specific outcome metric, such as the share of scouting decisions or shortlists meaningfully informed by the capability.

How do you build alignment across data science, engineering, sales, and customer-success teams without direct authority?

I create a shared problem statement, customer evidence, desired outcomes, and explicit trade-offs early. Regular decision forums, written product briefs, transparent prioritization, and clear ownership help partners understand both the rationale and their role in achieving the outcome.

Tell us how you would adapt an established product for a new global soccer market.

I would first identify what is genuinely reusable in the existing product and where local market workflows, data availability, terminology, or buying dynamics require adaptation. I would sequence discovery with a representative set of clubs, launch focused pilots, measure value and usability, and scale only after validating repeatable product-market fit.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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