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