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Sr. Product Manager, Agentic Workflow & AI Assistant

WPP·US·New York, New York, United States·senior
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WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP's Data & Technology Solutions is the unified global data products and technology team. WPP Open is our AI platform for marketing, connecting marketing professionals, data, tools and AI in a single place. The Product Manager, Agentic Workflow & AI Assistant owns the strategy for how AI agents orchestrate multi-step work within WPP Open. This spans the Canvas (visual workflow builder), agent orchestration patterns, and the marketing-specific AI assistant experience. This is where agentic AI moves from "single agent doing one thing" to "agents collaborating on complex workflows" — the highest-value, most transformative capability in the pillar. You are: A product manager with experience in workflow automation, orchestration, or process-builder products (think: Zapier, n8n, Temporal, or enterprise workflow tools). Comfortable with multi-agent architectures — you understand how agents can be chained, parallelised, and orchestrated. Experienced in conversational AI or assistant products — you understand the UX of human-AI collaboration. A strong systems thinker who can design for both simple (2-step) and complex (multi-agent, mult