Remote Senior AI Product Manager Jobs
Remote Senior AI Product Manager jobs are actively hiring at remote-first companies and distributed teams building AI-driven products. Demand is concentrated in software, fintech, and healthtech, where cross-functional product work translates naturally to async, distributed environments. Employers hiring remotely right now include ServiceNow, EPAM Systems, and NVIDIA. See the openings below and apply to the ones that match your experience.
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Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties.
At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset.
Role Overview
Fanatics Tech is executing one of the most ambitious supply chain transformations in sports retail, rebuilding the technology backbone across product creation, merchandising, planning, inventory, sourcing, and fulfillment — and at the center of that transformation is data. As Senior Product Manager, Merchandising & Planning Data Products & AI, you will own the strategy and roadmap for the data assets and BI experiences that power Merchandising, Planning, and Product Creation, and connect those domains through shared, trusted data for both people and AI. This is a senior individual contributor role operating with a high degree of autonomy, reporting to the Director of Product Management and partnering with data and engineering leaders, domain PMs, and business stakeholders. The Senior Product Manager, Merchandising & Planning Data Products & AI delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights.
How Will You Drive Impact
Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes.
Team & Leadership Impact (Build Championship Teams)
- Partner closely with data engineering, architecture, analytics, and domain product leaders to align merchandising and planning data roadmaps with the broader planning and supply chain transformation, keeping cross-functional dependencies visible as source systems evolve.
- Serve as the primary product voice for merchandising and planning data and BI, partnering with engineering as co-owner of roadmap, prioritization, and delivery, and driving consensus among analytics, domain PMs, and business leaders on shared business definitions and KPIs.
- Connect Planning, Merchandising, Product Creation, and Sourcing through shared, governed data assets, so a change in one domain — a buy adjustment, a bill of materials update, a shift in demand — is visible and actionable in the others.
Fan & Customer Impact (Obsessed with Fans)
- Partner with Merchandising, Planning, Product Creation, and Sourcing leaders to understand the decisions they make and design data assets and BI experiences that make those decisions faster and better.
- Build working fluency in the functions you support: merchandising and planning (integrated business planning, demand forecasting, assortment and buy planning, allocation and replenishment, inventory optimization, pricing and markdown); product creation and development (product line management, line planning, bill of materials and materials planning, costing, product lifecycle management, digital assets, licensing); and sourcing strategy and costing (vendor selection, target costing, landed cost estimates, capacity and material availability).
- Move business partners from static reporting toward self-service BI, conversational analytics, and automated briefings built on certified, trusted data, measuring success through adoption, decision quality, and business impact.
- Enable adjacent teams through trusted data: well-governed product, bill of materials, materials, cost, and demand data gives Sourcing and downstream Supply Chain teams earlier visibility into material needs and demand shifts, supporting speed to market and a more agile supply chain.
- Ensure every data asset is documented with business definitions, lineage, and certified quality standards, and capture the policies, SOPs, and institutional know-how of merchants and planners in a form agents can retrieve — making both discoverable and reusable across analytics, enterprise applications, and AI.
Innovation & Problem Solving (Limitless Entrepreneurial Spirit)
- Define and execute the roadmap for making merchandising and planning data AI-ready through semantic enrichment, metadata standards, and quality certification, contributing consistent definitions (sell-through, weeks of supply, in-stock rate, forecast accuracy) and domain entities and relationships to the enterprise semantic layer and knowledge graph that give AI agents business context.
- Partner with engineering to identify, productize, and scale AI capabilities and agentic workflows in the domain — such as conversational analytics for merchants and planners, forecast exception surfacing, and cost and bill of materials anomaly detection — establishing governance, validation, and feedback mechanisms, including evaluation criteria, test datasets, and human approval points where decisions carry business risk, that keep AI outputs trusted, explainable, and decision-grade.
- Enable citizen application development by giving business teams governed, well-documented data and shared definitions they can safely build on, and help determine when a citizen-built solution is ready to be productized.
- Stay current on emerging AI technologies and translate new capabilities into practical product opportunities.
Ownership & Execution (Determined & Relentless Mindset)
- Define, build, and govern a portfolio of data products — such as Item and Product, Bill of Materials and Materials, Cost, Demand Signals, Inventory Availability, and Vendor Capacity — treating each as a managed product with documented consumers, SLAs, and evolution roadmaps.
- Build governance into the lifecycle of every data asset — ownership, access policies (including what data and actions AI agents can reach), metadata, certification, and data contracts with embedded quality and freshness checks — so data can be shared reliably across domains as source systems change.
- Translate ambiguous business problems into clear requirements, epics, and success metrics; run structured intake and prioritization; and bring recommendations, not just problems, to senior stakeholders.
- Lead the modernization of merchandising and planning reporting — not a lift-and-shift, but a fresh look at requirements with each team — and track adoption so unused assets are retired and valuable ones improve.
AI & DIGITAL CAPABILITY
We are building a future-ready organization. This role is expected to:
- Apply AI and technology to improve efficiency, quality, and outcomes
- Use data and digital tools to inform decisions and enhance performance
- Demonstrate curiosity and adaptability in adopting new technologies and ways of working
- Contribute to a culture of innovation and continuous improvement
Required Qualifications
CAPABILITIES & EXPERIENCE YOU BRING
- 5–8 years of product management experience with depth in data products, BI and analytics platforms, semantic layers, or AI-enabled data solutions, including ownership of strategy, roadmap, prioritization, launch, and adoption across cross-functional teams.
- Experience treating data as a product with defined consumers, SLAs, quality dimensions, and success metrics, including defining or contributing to semantic layers, business glossaries, or KPI frameworks.
- Experience incorporating AI into product strategy, with familiarity with LLM-powered analytics, conversational interfaces, or AI agents, and a clear understanding of the building blocks that make data AI-ready: semantic layers, metadata, knowledge graphs, retrieval, and evaluation practices.
- Working knowledge of merchandising and planning (integrated business planning, demand and inventory planning, assortment and buy planning), product creation and development (product line management, bill of materials, materials, costing, digital assets), and sourcing strategy and costing. Licensing experience is a plus.
- Strong technical acumen including proficiency in SQL, data warehouse and semantic modeling concepts, ETL/ELT patterns, and APIs, with familiarity with cloud data platforms (Snowflake preferred) and BI tools such as MicroStrategy, Tableau, or Power BI.
- Exceptional written and verbal communication skills, with demonstrated success building consensus across Product, Engineering, Analytics, and business teams and presenting strategy, trade-offs, and recommendations to senior audiences.
- Experience as a senior individual contributor with high autonomy, comfortable influencing without direct authority and navigating competing priorities across retail, eCommerce, consumer products, or merchandising and planning technology.
Education
Bachelor's degree in Computer Science, Information Systems, Business, or a related field. An advanced degree is a plus but not required.
WORK LOCATION
- This role may be based in Tampa, FL, Atlanta, GA, or Remote - US, subject to company eligibility requirements.
At Fanatics, we operate with a BOLD mindset - We Build Championship Teams, we're Obsessed with Fans, we embrace a Limitless Entrepreneurial Spirit, and we approach every challenge with a Determined and Relentless Mindset. If you're ready to contribute to a dynamic, fast-paced environment that thrives on collaboration and growth, we want you to be part of our team.
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.
Fanatics Commerce is a leading designer, manufacturer, and seller of licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. It operates a vertically-integrated platform of digital and physical capabilities for leading sports leagues, teams, colleges, and associations globally – as well as its flagship site, www.fanatics.com.
Fanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA).
At Fanatics Commerce, we infuse our BOLD Leadership Principles in everything we do:
- Build Championship Teams
- Obsessed with Fans
- Limitless Entrepreneurial Spirit
- Determined and Relentless Mindset
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.
Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties.
At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset.
Role Overview
Fanatics Tech is executing one of the most ambitious supply chain transformations in sports retail, rebuilding the technology backbone across product creation, merchandising, planning, inventory, sourcing, and fulfillment — and at the center of that transformation is data. As Senior Product Manager, Merchandising & Planning Data Products & AI, you will own the strategy and roadmap for the data assets and BI experiences that power Merchandising, Planning, and Product Creation, and connect those domains through shared, trusted data for both people and AI. This is a senior individual contributor role operating with a high degree of autonomy, reporting to the Director of Product Management and partnering with data and engineering leaders, domain PMs, and business stakeholders. The Senior Product Manager, Merchandising & Planning Data Products & AI delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights.
How Will You Drive Impact
Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes.
Team & Leadership Impact (Build Championship Teams)
- Partner closely with data engineering, architecture, analytics, and domain product leaders to align merchandising and planning data roadmaps with the broader planning and supply chain transformation, keeping cross-functional dependencies visible as source systems evolve.
- Serve as the primary product voice for merchandising and planning data and BI, partnering with engineering as co-owner of roadmap, prioritization, and delivery, and driving consensus among analytics, domain PMs, and business leaders on shared business definitions and KPIs.
- Connect Planning, Merchandising, Product Creation, and Sourcing through shared, governed data assets, so a change in one domain — a buy adjustment, a bill of materials update, a shift in demand — is visible and actionable in the others.
Fan & Customer Impact (Obsessed with Fans)
- Partner with Merchandising, Planning, Product Creation, and Sourcing leaders to understand the decisions they make and design data assets and BI experiences that make those decisions faster and better.
- Build working fluency in the functions you support: merchandising and planning (integrated business planning, demand forecasting, assortment and buy planning, allocation and replenishment, inventory optimization, pricing and markdown); product creation and development (product line management, line planning, bill of materials and materials planning, costing, product lifecycle management, digital assets, licensing); and sourcing strategy and costing (vendor selection, target costing, landed cost estimates, capacity and material availability).
- Move business partners from static reporting toward self-service BI, conversational analytics, and automated briefings built on certified, trusted data, measuring success through adoption, decision quality, and business impact.
- Enable adjacent teams through trusted data: well-governed product, bill of materials, materials, cost, and demand data gives Sourcing and downstream Supply Chain teams earlier visibility into material needs and demand shifts, supporting speed to market and a more agile supply chain.
- Ensure every data asset is documented with business definitions, lineage, and certified quality standards, and capture the policies, SOPs, and institutional know-how of merchants and planners in a form agents can retrieve — making both discoverable and reusable across analytics, enterprise applications, and AI.
Innovation & Problem Solving (Limitless Entrepreneurial Spirit)
- Define and execute the roadmap for making merchandising and planning data AI-ready through semantic enrichment, metadata standards, and quality certification, contributing consistent definitions (sell-through, weeks of supply, in-stock rate, forecast accuracy) and domain entities and relationships to the enterprise semantic layer and knowledge graph that give AI agents business context.
- Partner with engineering to identify, productize, and scale AI capabilities and agentic workflows in the domain — such as conversational analytics for merchants and planners, forecast exception surfacing, and cost and bill of materials anomaly detection — establishing governance, validation, and feedback mechanisms, including evaluation criteria, test datasets, and human approval points where decisions carry business risk, that keep AI outputs trusted, explainable, and decision-grade.
- Enable citizen application development by giving business teams governed, well-documented data and shared definitions they can safely build on, and help determine when a citizen-built solution is ready to be productized.
- Stay current on emerging AI technologies and translate new capabilities into practical product opportunities.
Ownership & Execution (Determined & Relentless Mindset)
- Define, build, and govern a portfolio of data products — such as Item and Product, Bill of Materials and Materials, Cost, Demand Signals, Inventory Availability, and Vendor Capacity — treating each as a managed product with documented consumers, SLAs, and evolution roadmaps.
- Build governance into the lifecycle of every data asset — ownership, access policies (including what data and actions AI agents can reach), metadata, certification, and data contracts with embedded quality and freshness checks — so data can be shared reliably across domains as source systems change.
- Translate ambiguous business problems into clear requirements, epics, and success metrics; run structured intake and prioritization; and bring recommendations, not just problems, to senior stakeholders.
- Lead the modernization of merchandising and planning reporting — not a lift-and-shift, but a fresh look at requirements with each team — and track adoption so unused assets are retired and valuable ones improve.
AI & DIGITAL CAPABILITY
We are building a future-ready organization. This role is expected to:
- Apply AI and technology to improve efficiency, quality, and outcomes
- Use data and digital tools to inform decisions and enhance performance
- Demonstrate curiosity and adaptability in adopting new technologies and ways of working
- Contribute to a culture of innovation and continuous improvement
Required Qualifications
CAPABILITIES & EXPERIENCE YOU BRING
- 5–8 years of product management experience with depth in data products, BI and analytics platforms, semantic layers, or AI-enabled data solutions, including ownership of strategy, roadmap, prioritization, launch, and adoption across cross-functional teams.
- Experience treating data as a product with defined consumers, SLAs, quality dimensions, and success metrics, including defining or contributing to semantic layers, business glossaries, or KPI frameworks.
- Experience incorporating AI into product strategy, with familiarity with LLM-powered analytics, conversational interfaces, or AI agents, and a clear understanding of the building blocks that make data AI-ready: semantic layers, metadata, knowledge graphs, retrieval, and evaluation practices.
- Working knowledge of merchandising and planning (integrated business planning, demand and inventory planning, assortment and buy planning), product creation and development (product line management, bill of materials, materials, costing, digital assets), and sourcing strategy and costing. Licensing experience is a plus.
- Strong technical acumen including proficiency in SQL, data warehouse and semantic modeling concepts, ETL/ELT patterns, and APIs, with familiarity with cloud data platforms (Snowflake preferred) and BI tools such as MicroStrategy, Tableau, or Power BI.
- Exceptional written and verbal communication skills, with demonstrated success building consensus across Product, Engineering, Analytics, and business teams and presenting strategy, trade-offs, and recommendations to senior audiences.
- Experience as a senior individual contributor with high autonomy, comfortable influencing without direct authority and navigating competing priorities across retail, eCommerce, consumer products, or merchandising and planning technology.
Education
Bachelor's degree in Computer Science, Information Systems, Business, or a related field. An advanced degree is a plus but not required.
WORK LOCATION
- This role may be based in Tampa, FL, Atlanta, GA, or Remote - US, subject to company eligibility requirements.
At Fanatics, we operate with a BOLD mindset - We Build Championship Teams, we're Obsessed with Fans, we embrace a Limitless Entrepreneurial Spirit, and we approach every challenge with a Determined and Relentless Mindset. If you're ready to contribute to a dynamic, fast-paced environment that thrives on collaboration and growth, we want you to be part of our team.
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.
Fanatics Commerce is a leading designer, manufacturer, and seller of licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. It operates a vertically-integrated platform of digital and physical capabilities for leading sports leagues, teams, colleges, and associations globally – as well as its flagship site, www.fanatics.com.
Fanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA).
At Fanatics Commerce, we infuse our BOLD Leadership Principles in everything we do:
- Build Championship Teams
- Obsessed with Fans
- Limitless Entrepreneurial Spirit
- Determined and Relentless Mindset
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.
See All 86 Remote Senior AI Product Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Senior AI Product Manager Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Retail
- Education
- Insurance
- Automotive
What Employers Look For
The qualifications that appear most often in remote senior AI product manager jobs.
- 5+ years of product management experience with at least 2 years on AI or ML products
- Demonstrated experience shipping production AI features, models, or platforms to real users
- Ability to write and interpret technical specifications alongside machine learning engineers
- Proficiency with product analytics tools and model performance evaluation frameworks
- Experience working cross-functionally with data science, MLOps, and design teams
- Bachelor's degree in computer science, engineering, or a related technical field
Tips for Your Remote Senior AI Product Manager Job Search
Document your AI product decisions publicly
Remote hiring teams can't observe you in the office, so your written work becomes your audition. Publish case studies, PRDs, or retrospectives that show how you scoped, prioritized, and shipped AI features. Concrete artifacts signal remote readiness faster than a resume alone.
Apply early to remote roles that fit
Migrate Mate lists remote senior ai product manager openings from companies hiring across the U.S. in one place, so you can find roles that match your background and apply directly without sifting through non-remote results.
Signal async fluency in every application
Remote employers screen for candidates who communicate clearly in writing without real-time back-and-forth. Use your cover letter and take-home exercises to show structured thinking, concise framing of tradeoffs, and the ability to move decisions forward asynchronously using tools like Notion, Linear, or Loom.
Target remote-first AI teams specifically
Companies built as remote-first organizations from the start have hiring processes, onboarding, and product workflows designed for distributed senior product managers. Prioritize those over traditional companies offering occasional remote flexibility, where the senior ai product manager role often becomes harder without in-person context.
Remote Senior AI Product Manager Jobs: Frequently Asked Questions
How do I get a remote senior ai product manager job?
Remote senior ai product manager roles go to candidates who can demonstrate deep AI product ownership and independent execution without in-person oversight. Remote-first companies and distributed teams screen heavily for asynchronous written communication, the ability to align cross-functional stakeholders over text and video, and a history of shipping AI features end to end. A portfolio of documented product decisions, PRDs, and measurable outcomes gives you a clear edge over equally qualified candidates who lack that paper trail.
Which companies hire remote senior ai product managers?
Employers currently hiring remote senior ai product managers include ServiceNow, EPAM Systems, and NVIDIA, per current remote listings on Migrate Mate as of November 2026. Remote openings for this role are most common at remote-first software companies, AI infrastructure firms, and distributed teams in fintech and healthtech where product leadership does not require a physical presence.
Can you get a remote senior ai product manager job with no experience?
Yes, but remote entry into this specific role is harder because distributed teams expect senior ai product managers to operate with minimal hand-holding from day one. Early-career candidates have the most success with remote-first startups that are still building their AI product function and need someone who can grow into the role. Showing a side project, open-source contribution, or documented product experiment with AI tooling can substitute for formal experience when the work is concrete and verifiable.
Do you need a degree for remote senior ai product manager jobs?
Not always. Remote employers hiring senior ai product managers weigh demonstrated product ownership, technical fluency with AI systems, and a history of measurable outcomes more heavily than a specific credential. A portfolio of shipped AI features, clear PRDs, and evidence of cross-functional leadership often carries more weight than a degree when the results are well-documented and the candidate can articulate tradeoffs clearly.
Which industries hire the most remote senior ai product managers?
Most remote senior ai product manager openings sit in Technology & Software, Retail, and Education, per current remote listings on Migrate Mate as of November 2026. These sectors hire senior ai product managers remotely because their product and engineering teams are already structured as distributed organizations where async collaboration is the default.
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