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WPP Media

AI-native global media services network

Director – AI & Agent Governance

Product ManagementConfirmed live in the last 24 hours
Full-time$100k - $230k

About the Job

Requirements

  • A bachelor's degree or equivalent professional experience in business, technology, communications, project management, product management, or a related discipline.
  • Five to eight years of relevant experience in product management, project management, program management, product operations, technology transformation, or comparable complex operational work.
  • Experience managing a product, program, portfolio, roadmap, backlog, or complex cross-functional workstream from planning through delivery.
  • Ability to bring structure, prioritization, and accountability to ambiguous environments where processes and operating models are still developing.
  • Strong stakeholder management skills and experience influencing senior leaders, technical teams, subject matter experts, and cross-functional partners.
  • Experience managing competing requests, assessing strategic priorities, and recommending which initiatives should progress.
  • Ability to understand artificial intelligence, AI agents, data sources, workflows, application programming interfaces, and related emerging technology concepts.

Responsibilities

  • Own and maintain the agent roadmap for Google’s global account, prioritizing initiatives based on strategic value, user need, business impact, and available resources.
  • Establish and manage the end-to-end agent lifecycle, from initial intake and development through approval, launch, testing, maintenance, optimization, and retirement.
  • Monitor the agent ecosystem across relevant enterprise AI and workspace environments to understand newly created agents, their purposes, usage, dependencies, and position within broader workflows.
  • Inventory, categorize, and rationalize the agent portfolio, identifying duplicate or overlapping solutions and coordinating consolidation, optimization, or retirement where appropriate.
  • Manage intake and prioritization processes for new agent requests, ensuring competing needs are assessed consistently and progressed through clear decision points.
  • Coordinate approval processes for agents that use new data sources, application programming interfaces, or comparable system connections, maintaining communication and follow-through across required stakeholders.
  • Establish ongoing testing and monitoring practices that assess agent safety, accuracy, reliability, data traceability, and performance after launch.
  • Coordinate the dedicated agent-building team’s roadmap, ensuring its capacity is focused on high-value work and that development priorities remain aligned with business needs.
  • Partner with the agentic design forum or council and product teams to capture user experience issues, product feedback, platform enhancements, and workflow improvement opportunities.
  • Build strong working relationships across Google, Data and Technology Services, WPP Media, subject matter expert, and agency teams to drive decisions, accountability, and progress.

Desired Qualifications

  • Knowledge of governance, responsible AI, quality assurance, model evaluation, data traceability, or operational risk management.
  • Experience with enterprise AI platforms, workflow automation, digital transformation, product operations, or technology ecosystems.
  • Familiarity with Google Workspace, Gemini, comparable AI platforms, application programming interfaces, or model context protocol connections. Proprietary WPP Media platforms can be learned in the role.

About the Company

WPP Media

AI-native global media services network

WPP Media is a global media services arm that manages more than $60 billion in annual advertising investments for leading brands. It operates across a network of established agencies (Mindshare, Wavemaker, EssenceMediacom) and combines media planning, data, production, and commerce through its proprietary WPP Open platform. Its Open Intelligence data model uses real-time behavioral signals to drive predictive, faster, and smarter marketing campaigns. The company positions itself as an AI-native media collective, consolidating capabilities under a single technology stack to improve efficiency and scale for advertisers. Its goal is to help clients buy and optimize media more effectively by leveraging integrated data, advanced analytics, and automated execution at scale.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2003

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