About This Role

Adobe GenStudio is reimagining how marketing teams operate by leveraging GenAI to transform content creation distribution and optimization across performance marketing & demand generation growth and content marketing.

As Director of Product Management for GenStudio Content Intelligence you will define and drive the strategic vision for insights analytics and intelligence capabilities that span the entire GenStudio Applications. You will be responsible for building AI-powered systems that help marketers understand content performance campaign effectiveness audience engagement and creative attributestransforming raw data into actionable intelligence that drives better marketing outcomes.

This is a highly visible cross-functional leadership role that requires deep empathy for marketing challenges strong product instincts and the ability to leverage GenAI to solve problems that have historically plagued enterprise marketing teams.

Why This Role Matters

Marketing teams are drowning in data but starving for insights. Attribution is broken. Creative decisions are disconnected from performance data. Measurement takes too long and requires too much expertise. GenAI gives us an unprecedented opportunity to solve these problemsto make insights instant intuitive and intelligent.

This role will shape how millions of marketers understand whats working why its working and what to do next. Youll be at the intersection of creativity and analytics helping bridge the gap between art and science in marketing.

What Youll Do

Strategic Vision & Roadmap

• Define and own the multi-year product strategy for Content Intelligence across all GenStudio modules

• Identify opportunities where GenAI can transform how marketers derive insights from their content and campaignsfrom automated performance analysis to predictive recommendations

• Build alignment across GenStudio product teams to ensure consistent cohesive insights experiences

• Partner with Adobes AI Research team to identify new use cases that be brough to market.

Cross-Module Intelligence Platform

• Design intelligence capabilities that work seamlessly across various marketing functions including marketers and creatives

• Define unified metrics frameworks attribution models and measurement standards that enable cross-channel analysis

• Build systems that connect content creation decisions to business outcomes closing the loop between creative production and performance

• Ensure insights are contextual timely and actionable regardless of which module a user is working within

GenAI-Powered Insights Innovation

• Leverage GenAI to automate insight generation anomaly detection and performance diagnostics

• Develop capabilities that analyze creative attributes (messaging visuals tone) and correlate them with performance

• Build natural language interfaces that democratize data accessenabling marketers to ask questions and get answers without SQL or BI tools

• Create AI systems that proactively surface insights recommend optimizations and predict campaign outcomes

Enterprise Customer Focus

• Deeply understand the measurement and attribution challenges facing large enterprise marketing organizations

• Design for the complexity of enterprise marketing ecosystemsmultiple brands regions agencies and tech stacks

• Balance the needs of diverse personas: CMOs seeking strategic insights campaign managers optimizing tactics and data analysts conducting deep dives

• Partner with Customer Success and Sales to understand customer pain points and validate solutions

Cross-Functional Leadership

• Collaborate with Engineering and AI/ML teams to build scalable reliable intelligence infrastructure

• Work with Design to create intuitive beautiful experiences that make complex data accessible

• Partner with other GenStudio product leaders to ensure insights are embedded throughout workflows

• Engage with Adobes broader Analytics and Experience Cloud teams to leverage shared capabilities

Team Development & Thought Leadership

• Build mentor and lead a team of product managers focused on different aspects of Content Intelligence

• Establish best practices for how we think about measurement experimentation and learning in GenAI-powered products

• Represent Adobes vision for marketing intelligence at industry events with customers and in thought leadership

What You Need to Succeed

Required Experience

• 10 years in product management with at least 5 years focused on analytics insights measurement or business intelligence products

• 5 years in a leadership role managing product managers or leading complex cross-functional initiatives

• Deep understanding of marketing operations campaign management and the measurement challenges facing modern marketing organizations

• Experience building products for enterprise customers with complex multi-stakeholder buying processes

• Track record of defining product strategy building roadmaps and shipping successful products

• Strong technical acumenability to have detailed discussions with engineers and data scientists about architecture ML models and data pipelines

GenAI Fluency

• Demonstrated ability to identify high-value use cases for GenAI in analytical and insights workflows

• Understanding of LLM capabilities limitations and best practices for building reliable AI-powered products

• Experience thinking through trust transparency and explainability in AI-driven recommendations

Core Competencies

• Strong systems thinkingunderstanding how changes in one area impact the broader ecosystem

• Excellent communication and storytelling skillscan make complex concepts accessible to diverse audiences

• Experience with experimentation platforms and A/B testing methodologies

• Background in data science analytics engineering or business intelligence

• Comfortable with ambiguity and rapid iteration in emerging product categories

• Bias for action and resultsable to balance long-term vision with near-term execution

Nice to Have

• Proven understanding of digital marketing channels attribution models and campaign measurement methodologies. Familiarity with marketing technology ecosystems.

• Knowledge of how creative attributes and content characteristics impact marketing performance

• Understanding of how large enterprises approach marketing measurement governance and optimization

• Experience as a marketing practitioner or in marketing operations roles