Principal Product Manager - Agentic Governance, Marketing & Advertising

The opportunity   Help shape how AI transforms the way enterprises deliver customer experiences!   CX Coworker is Adobe’s agentic AI layer across the Customer Experience portfolio, designed to help practitioners turn business intent into action across Adobe applications, within their organization’s governance controls.   We have a fantastic opportunity to lead product strategy and discovery for CX Coworker Customer Pods!   These time-limited co-development engagements pair enterprise customer practitioners with focused, cross-functional Adobe teams spanning product, engineering, design, and customer-facing functions. Together, they explore priority business problems, prototype agentic workflows, and validate product hypotheses in the customer's environment. The collaboration creates a direct feedback loop between customer experimentation and Adobe's product teams, helping inform our broader product strategy.   As a Principal Product Manager, you’ll connect hands-on customer findings with Adobe’s broader product strategy. You’ll align customer and Adobe collaborators on the problems worth solving. You will guide prioritization across engagements and work with core product teams to develop reusable capabilities from validated solutions. Success means more than delivering a compelling customer pilot: it means identifying what should scale, influencing cross-product investment decisions, and building a repeatable path from customer experimentation to trusted, broadly valuable product experiences.   The role spans Adobe Experience Platform (AEP), relevant AEP & Apps products, and Adobe CX Enterprise Coworker.   What you'll do   • Own the discovery, prioritization, and productization of agentic customer workflows validated through Customer Pods, translating customer co-innovation into scalable Coworker and AEP product investments.   • Turn ambiguous customer problems into clear product direction, requirements, prototypes, and acceptance criteria. Partner with engineering and design on feasibility, architecture trade-offs, and execution while maintaining a hands-on connection to the customer experience.   • Identify platform gaps required to enable scalable agentic workflows, including missing APIs, permissions models, governance controls, workflow primitives, and product capabilities. Partner with platform and application teams to define requirements and prioritize foundational investments.   • Own the AI evaluation framework across Pods, defining workflow success and task completion metrics, error rates, human intervention rates, and adoption metrics. Partner with engineering and design to establish evaluation datasets, quality thresholds, and instrumentation.   • Lead the definition of strategic workflows across AEP, RTCDP, AJO, and CJA / Analytics, such as turning an analytical insight into an audience, activating a customer journey, and measuring its impact. Prioritize opportunities with repeatable value across customers and industries.   • Align Coworker and application product leaders on shared outcomes, roadmap dependencies, and investment trade-offs. Build evidence-based cases and distinguish scalable product opportunities from customer-specific implementation work.   • Shape product requirements for trustworthy AI-assisted and autonomous workflows. Partner with engineering, security, privacy, and governance teams on human approvals, permissions, evaluation, monitoring, and safe recovery when tasks cannot be completed.   • Drive the path from customer validation to productization with core product teams. Synthesize learning across Pods into reusable workflow templates, prioritized platform gaps, and explicit recommendations on what to scale, iterate, or stop.   • Influence customer and Adobe executives through clear p