Lead Product Manager – Marketing Hub MCP

FanDuel•New York, NY

5h•Hybrid

About The Position

FanDuel is seeking a Lead Product Manager to drive the strategy, development, and execution of agentic AI-powered capabilities across marketing operations. In this role, you'll own the full product lifecycle of an innovative, AI-driven marketing automation system that leverages AI and API capabilities to orchestrate internal and external vendor platforms for marketing campaigns. You will translate business objectives into compelling product strategies, lead cross-functional teams, manage complex vendor integrations, and champion the adoption of agentic AI principles to unlock new efficiency and scale in FanDuel's marketing engine. This is a high-visibility role that sits at the intersection of product strategy, marketing technology, data, platform operations, and AI innovation. You bring both ambition and pragmatism: you think big about what agentic AI can enable for marketing at FanDuel, but you're grounded in the realities of technology, execution, vendor relationships, and organizational change. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

Requirements

7+ years of product management experience, with proven success in marketing technology platforms, martech operations, product lifecycle management, or SaaS product strategy
5+ years demonstrating deep expertise in product development lifecycle best practices: discovery, requirements definition, roadmap prioritization, cross-functional delivery, and post-launch optimization
3+ years of hands-on experience with marketing technology ecosystems, including exposure to martech stacks, API integrations, data pipelines, CDP platforms, or marketing automation systems
2+ years managing external vendor or partner relationships, including contract negotiation, vendor performance management, and third-party integration oversight
Experience in high-scale consumer digital products and/or marketplaces strongly preferred
Working knowledge of Model Context Protocol (MCP) or agent-to-agent (A2A) architectures; ability to evaluate how MCP-based systems solve martech workflow challenges
Familiarity with agentic AI frameworks and understanding of how agents orchestrate multi-step marketing workflows across vendors, products, and platforms
Experience with prompt engineering and LLM application development (or equivalent exposure in AI-first product roles) with the ability to think clearly about AI model behavior, limitations, and guardrails
Technical curiosity and comfort with vendor evaluation frameworks for AI/automation tools; ability to translate between engineering and non-technical stakeholders
Demonstrated fluency in modern AI tools to enhance product management effectiveness, including research synthesis, PRD drafting, experimentation design, data analysis, and insight generation
Privacy and compliance awareness: working knowledge of data privacy regulations (CCPA, GDPR, state privacy laws) and ability to ensure AI-driven marketing capabilities respect user data rights, consent frameworks, and regulatory requirements
Demonstrated ability to lead without direct authority across Product, Engineering, Design, Marketing, and Operations in a matrixed environment
Proven track record of building clarity in ambiguous contexts: defining roles, establishing accountability (RACI), codifying handoff protocols and playbooks
Strong stakeholder management: ability to align executives, peers, and individual contributors around shared product vision and trade-off decisions
Data-driven mindset with comfort building business cases, tracking KPIs, and iterating strategy based on evidence
Excellent communication: written and verbal skills with preference for clarity and conciseness; ability to distill complexity into actionable narratives
Bias for action: you'd rather test a rough prototype with stakeholders today than debate the "perfect" approach in meetings.

Nice To Haves

Familiarity with operating model assessments, RACI matrix design, or organization design frameworks
Knowledge of phase-gate product lifecycle models or similar governance frameworks
Background in responsible AI, AI governance, or guardrails for autonomous systems
Experience scaling product operations or building shared services in fast-growing organizations
Knowledge of sports and/or experience working within a heavily regulated industry is a plus

Responsibilities

Define and execute the product roadmap for agentic campaign ideation, execution orchestration, and measurement intelligence across the central marketing platforms
Own the full product lifecycle—from discovery and requirements definition through launch, monitoring, and continuous optimization
Lead collaboration across Product, Engineering, Marketing Operations, and Commercial teams to ensure successful delivery and adoption of AI-powered capabilities
Establish a clear vision for how MCP-based agentic systems can streamline campaign workflows, reduce manual handoffs, and measurably improve campaign performance and team velocity
Translate complex technical concepts (MCP, agentic AI frameworks, vendor APIs) into clear business narratives and actionable product requirements
Manage integration strategy and relationships with internal platforms (CDP, analytics) and external vendors (marketing automation, creative AI, attribution), ensuring seamless data flow and compliance
Define success metrics (KPIs, OKRs) for AI-driven campaign capabilities, including adoption, efficiency gains, campaign lift, and time-to-market improvements
Champion best practices: document handoff protocols, define phase gate entry/exit criteria, establish dependency risk frameworks, create reusable playbooks

Benefits

Amazing benefits above and beyond the basics
Array of health plans to choose from (some as low as $0 per paycheck)
Programs for fertility and family planning
Mental health support
Fitness benefits
Generous paid time off (PTO & sick leave)
Annual bonus opportunities (based on performance)
Long-term incentive opportunities (based on performance)
401k with up to a 5% match
Commuter benefits
Pet insurance
Medical insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
Short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation
Paid personal time off
14 paid company holidays
Paid sick time in accordance with all applicable state and federal laws
Reasonable accommodations for qualified individuals with disabilities