Responsibilities

• Roadmap & Strategy : Define and execute the product roadmap for agentic campaign ideation, execution orchestration, and measurement intelligence across the central marketing platforms
• End-to-End Ownership : Own the full product lifecycle—from discovery and requirements definition through launch, monitoring, and continuous optimization
• Cross-Functional Leadership : Lead collaboration across Product, Engineering, Marketing Operations, and Commercial teams to ensure successful delivery and adoption of AI-powered capabilities
• Vision & Direction : 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
• Translation & Requirements : Translate complex technical concepts (MCP, agentic AI frameworks, vendor APIs) into clear business narratives and actionable product requirements
• Vendor Integration Strategy : Manage integration strategy and relationships with internal platforms (CDP, analytics) and external vendors (marketing automation, creative AI, attribution), ensuring seamless data flow and compliance
• Success Metrics : Define success metrics (KPIs, OKRs) for AI-driven campaign capabilities, including adoption, efficiency gains, campaign lift, and time-to-market improvements
• Operating Model Excellence : Champion best practices: document handoff protocols, define phase gate entry/exit criteria, establish dependency risk frameworks, create reusable playbooks

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: youd rather test a rough prototype with stakeholders today than debate the "perfect" approach in meetings.

Preferred

• 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
• Don’t check all the boxes? That’s okay! We encourage you to still apply if you feel like you possess an adjacent skill set and are interested in learning more about this position.

Benefits

• We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits.
• We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards .
• Benefits differ across location, role, and level.