Next League is seeking an AI Product Manager to lead the strategy, design, and delivery of applied AI solutions across a portfolio of sports, entertainment, and league clients.  We are looking for someone on the east coast.

This role bridges AI platforms and agent capabilities with real business needs — turning ambiguity into shipped pilots, scalable workflows, and measurable outcomes. You will work directly with client stakeholders to identify high-impact opportunities, lead structured discovery, launch pilots, and oversee custom AI product development. This is a product and client leadership role focused on applied AI, workflow transformation, and business impact. Clients include professional teams, leagues, major sports properties, and national governing bodies.

Projects may span:

• Performance marketing optimization and content generation
• Fan-facing experiences (e.g., conversational interfaces, rules engines, personalization)
• Revenue acceleration and CRM automation
• Executive insight dashboards and workflow copilots
• Enterprise AI enablement and governance foundations

Essential Duties and Responsibilities - The following and other duties may be assigned as necessary:

AI Strategy & Opportunity Identification

• Partner with client executives to define AI vision, roadmap, and measurable business outcomes
• Identify and prioritize opportunities where AI can improve revenue, marketing performance, fan engagement, operations, or decision-making
• Translate ambiguous business challenges into structured AI initiatives with clear success metrics

Client Delivery & Pilot Execution

• Lead discovery workshops and workflow mapping sessions
• Build and prioritize AI use-case backlogs
• Design and launch rapid pilots (typically 2–6 weeks) with clear evaluation criteria
• Develop executive-ready demos and business cases
• Package repeatable assets including prompt libraries, evaluation rubrics, templates, and rollout frameworks

Custom AI Product Development

• Own product requirements for AI-driven solutions such as:
• Copilots and internal assistants
• AI agents and automation workflows
• Insight dashboards and reporting tools
• Fan-facing conversational and rules-based systems
• Integrated CRM and marketing workflows
• Write PRDs, user stories, acceptance criteria, and test plans
• Partner with engineering and technical teams to ensure scalable, secure implementation
• Drive adoption and iteration based on business performance (revenue impact, time savings, engagement lift, workflow efficiency)

Stakeholder Leadership & Adoption

• Operate as a trusted consultative partner across multiple client accounts
• Communicate complex AI concepts to non-technical stakeholders with clarity and credibility
• Lead change management, enablement, and responsible AI rollout practices
• Establish lightweight governance standards around tool usage, privacy, and human-in-the-loop safeguards

Qualification Requirements  - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

• 5+ years of experience in product management, consulting, digital strategy, analytics, or AI solution delivery
• Demonstrated experience applying AI tools to solve real business challenges
• Proven ability to lead client-facing discovery, pilot delivery, and cross-functional execution
• Strong product instincts — able to move from idea → scoped initiative → shipped outcome
• Experience writing product requirements and managing backlogs
• Exceptional communication and storytelling skills
• Strong consultative presence and stakeholder management ability
• Knowledge of responsible AI practices, governance considerations, and enterprise data handling

Preferred Experience

• Hands-on experience with leading AI platforms such as:
• ChatGPT / OpenAI APIs
• Claude
• Microsoft Copilot (M365 / Copilot Studio)
• Google Gemini / Vertex AI
• AWS Bedrock
• Azure AI Foundry
• Familiarity with AI agents, copilots, RAG systems, and workflow automation
• Experience with automation tools such as n8n or Zapier
• Experience integrating AI into enterprise environments including:
• Slack / Microsoft Teams
• Gmail / Calendar
• CRM systems (Salesforce, HubSpot, Dynamics 365)
• Marketing or ticketing platforms
• Comfort with core system concepts: APIs, permissions, retrieval/search, event tracking
• Experience in sports, entertainment, leagues, media, or performance marketing environments

Who Will Thrive in This Role

• Product leaders who enjoy working directly with clients
• Strategic thinkers who can balance innovation with practical execution
• Professionals excited about shaping AI’s impact across sports and fan engagement