Fanatics
Direct Greenhouse career site

Staff Product Manager - AI / ML

Location
New York, NY · On-site
Job type
Full-time
Level
Director
Education
Bachelor's degree
Listed
17 days ago

Skills & highlights for this role

  • product management
  • machine learning product experience
  • experimentation and testing
  • statistics
  • measurement for probabilistic outputs
  • stakeholder communication

Also useful

  • growth product management
  • consumer product experience
  • quantitative background
  • sports or gaming industry experience

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

Additional information

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.

#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.

Salary Range $161,500—$212,500 USD

By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

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.

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.

Read the original posting

From Fanatics's careers page, first listed on Rolev.ai on October 23, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Staff Product Manager - AI / ML role at Fanatics, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

  • See how you fit

    Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.

  • Tailor without inventing

    Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.

  • Draft the full kit

    Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.

  • 1-Click Extension Autofill

    The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.

Common questions

Where is the Staff Product Manager - AI / ML job at Fanatics located?

This Staff Product Manager - AI / ML position at Fanatics is located in New York, NY (On-site). Always check Fanatics's application page for specific state eligibility or relocation policies.

What qualifications are required for Staff Product Manager - AI / ML at Fanatics?

For the Staff Product Manager - AI / ML role, Fanatics highlights a bachelor's degree; experience with product management, machine learning product experience, experimentation and testing, statistics, measurement for probabilistic outputs, stakeholder communication. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Staff Product Manager - AI / ML position at Fanatics?

This listing links directly to Fanatics's Greenhouse application page. You can apply directly on Fanatics's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.