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 product narratives, investment recommendations, and candid trade-offs. Partner with product marketing and field leaders to turn validated outcomes into enablement and compelling customer value stories. 

What you'll need to succeed 

• 8+ years of product management or equivalent product leadership experience, with a track record of defining and delivering complex enterprise software products from discovery through launch, adoption, and measurable business impact.  

• Deep customer empathy and experience leading enterprise design partnerships or co-development programs. Earn executive trust, navigate competing priorities, and turn individual customer needs into broadly valuable product decisions.  

• Strong domain expertise in customer data platforms, journey orchestration, marketing technology, or analytics, with depth in at least one area and a demonstrated ability to define connected experiences across products.  

• Technical fluency in data ingestion, schemas, identity, APIs, integrations, and governance. Engage architects and engineering leaders on platform trade-offs, scalability, and extensibility, connecting technical decisions to customer and business outcomes.  

• Practical experience shaping AI-powered products or workflows, with sound judgment about agentic capabilities, evaluation, reliability, human oversight, and enterprise deployment constraints. 

• Proven ability to lead through influence across organizational boundaries and build alignment among senior product, engineering, design, and customer-facing leaders without relying on formal authority.  

• Strong strategic and analytical judgment. Develop compelling cases, make investment trade-offs with incomplete information, and balance near-term customer outcomes with long-term platform value.  

• Excellent English communication paired with strong executive presentation abilities. You can articulate a clear vision, lead difficult prioritization discussions, and move confidently between portfolio strategy and detailed product decisions. 

Bonus 

• Hands-on familiarity with AEP, RTCDP, AJO, CJA, or Adobe Analytics, and experience delivering use cases across more than one of these products. 

• Experience productizing AI workflows, reusable integrations, or capabilities first validated with enterprise design partners. 

• Experience establishing customer co-development programs or product operating models that scale across teams and regions. 

• Experience with enterprise privacy, consent, security, and regulated-industry requirements. 

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.