Group Product Manager, Adobe Experience Platform Data Services & Agents

About the Role

Key Responsibilities

• Guide the vision for AEP Data Services & Agents for Data: Define and direct the product strategy to unify data services and enable agent-powered data workflows within Adobe Experience Platform.
• Advance unstructured data capabilities: Build scalable systems to ingest, process, and semantically enrich unstructured and conversational data sources (e.g., documents, chat logs, support tickets, reviews).
• Unlock intelligence through signal extraction: Deliver data services and agents that identify and apply critical signals—such as customer intent, sentiment, and behavior—from structured and unstructured sources.
• Accelerate synthetic data creation: Partner with Adobe Research and Engineering to enable secure, scalable synthetic data generation for model training and testing, ensuring high-quality and confidential data.
• Expand data partnerships: Strengthen Adobe’s ecosystem by enabling native data sharing and partner integrations with hyperscalers, ISVs, and industry-specific platforms to broaden and enrich AEP’s Knowledge Base.
• Develop the Agentic Data ecosystem: Shape the roadmap for Agents for Data, empowering customers and partners to build, personalize, and orchestrate data-centric agents with natural language and reasoning capabilities.
• Prioritize investments: Drive initiatives that deliver measurable customer value, align with business growth, and reinforce Adobe’s market leadership.
• Lead and grow the PM team: Mentor and scale a high-performing group of product managers, fostering collaboration across engineering, research, design, and go-to-market functions.

Requirements

• Bachelor's or higher degree (or equivalent experience) in Computer Science, Data Science, Engineering, or a related technical field.
• 10+ years of product management leadership experience, including scaling enterprise data platforms and leading PM teams.
• Deep expertise in data platforms, unstructured data processing, signal extraction, and synthetic data generation.
• Solid understanding of Generative AI and data/ML ecosystems, with experience in developing scalable extensible platforms.
• Proven track record of fostering ecosystem growth, enabling third-party integrations, and driving strategic data collaborations.
• Demonstrated ability to define product roadmaps that balance long-term innovation with near-term execution, delivering measurable customer and business outcomes.
• Excellent collaboration and communication skills; adept at influencing engineering, research, product, and executive partners.
• Passion for turning enterprise data into actionable insights that power customer experiences.

Nice to Have

• Experience with developing scalable, extensible platforms in AI and data ecosystems.
• Experience working with hyperscalers, ISVs, and industry-specific platforms.
• Knowledge of conversational AI, natural language processing, and reasoning-driven automation.

Qualifications

• Educational background in Computer Science, Data Science, Engineering, or related field.
• Extensive experience in product management leadership, especially in enterprise data platforms.

Benefits & Perks

• Competitive salary range of $153,600 -- $297,700 annually, varies by location and experience.
• Potential eligibility for long-term incentives in the form of a new hire equity award.
• Work location in San Jose HQ with 2-3 days a week in office.