Staff Product Manager - AI / ML

Posted Yesterday
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Hiring Remotely in New York, NY, USA
In-Office or Remote
162K-213K Annually
Senior level
eCommerce • Retail • Software • Sports
Tech-First Sports Licensed E-Commerce Cutting-Edge Company
The Role
Own product strategy for customer-facing machine learning applications, driving acquisition, cross-sell, and engagement. Define ML product solutions, model-performance evaluation, probabilistic measurement, and experimentation practices. Partner with ML engineers, data scientists, commercial teams, and CRM stakeholders to translate technical concepts, make pragmatic product tradeoffs, and deliver data-driven consumer experiences at scale.
Summary Generated by Built In
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. 

About the Team

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

About the role 

We’re expanding our investment in machine learning and building more customer-facing ML applications. To support that growth, we’re looking for a product leader to help shape the strategy for this function. You’ll work closely with engineers, data scientists, and product and commercial partners to bring ML into the customer experience and help drive growth across the Fanatics ecosystem. This is a high-visibility role at the center of how we measure and improve the impact of our growth investments.

Responsibilities
  • Own product strategy for customer-facing ML applications in our flagship product, tied to the ecosystem group’s key objectives: customer acquisition cost, cross-sell rates, and engagement
  • Design non-deterministic product solutions where models play a central role, and decide where ML adds value
  • Define how model performance is measured and evaluated, including measurement for probabilistic outputs
  • Run experimentation and testing as a core part of how the team decides what to ship
  • Partner with ML engineers and data scientists on requirements and evaluation, and with commercial and CRM teams who are working toward revenue targets
  • Translate between technical and non-technical stakeholders, educating partners who don’t have an ML or quantitative background
  • Make pragmatic tradeoffs and move quickly, balancing model quality against business needs
Experience and Skills
  • Senior product management experience, with a track record in product growth, experimentation, or data-driven consumer products
  • Quantitative background: statistics, measurement for probabilistic systems, or experience with LLM evaluation frameworks
  • Ability to make ML-specific product decisions and evaluate model performance (you don’t need to have been a data scientist)
  • Experience in consumer-facing product environments with large user bases and mature data and experimentation practices
  • Strong communication skills, with patience for teaching non-technical stakeholders
  • A flexible, pragmatic mindset: comfortable compromising and moving fast rather than waiting for perfection

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

For information about our benefits, please visit https://benefitsatfanatics.com/

#LI-Remote

#LI-AL1 

Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/



Salary Range
$161,500—$212,500 USD

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Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here.

Skills Required

  • Senior product management experience
  • Track record in product growth, experimentation, or data-driven consumer products
  • Quantitative background in statistics, probabilistic-system measurement, or LLM evaluation frameworks
  • Ability to make machine-learning-specific product decisions and evaluate model performance
  • Experience in consumer-facing product environments with large user bases and mature data and experimentation practices
  • Strong communication skills and ability to educate non-technical stakeholders
  • Flexible and pragmatic mindset with ability to compromise and move quickly

Fanatics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fanatics and has not been reviewed or approved by Fanatics.

  • Strong & Reliable Incentives — Incentives like annual bonuses and overtime opportunities are common, supporting higher total compensation especially in corporate roles. Seasonal premiums and performance bonuses are also cited across roles.
  • Healthcare Strength — Multiple medical plan options, mental-health services, and wellness programs are highlighted as core offerings. Additional supports like HSAs/FSAs and condition management further strengthen the health package.
  • Parental & Family Support — Paid maternity and paternity leave, fertility benefits, adoption assistance, and gender-affirmation coverage are explicitly included. Childcare support and backup care resources are also referenced.

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The Company
HQ: New York, NY
7,500 Employees
Year Founded: 1995

What We Do

Transforming the licensed sports industry through an innovative vertical e-commerce model that allows Fanatics to quickly design, manufacture and distribute high-quality fan gear across retail channels, better serving the real-time expectations of leagues, teams, fans and retailers in today’s mobile-first, on-demand culture.

Why Work With Us

You don't have to love sports to work here (though we love sports fanatics as well!). Fanatics is an industry leading, multi-billion dollar, international, privately held company with a casual, lofty space in the heart of Downtown Boulder. We have the advantages of a startup, without the pitfalls.

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