We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! We are seeking a skilled and motivated Senior Product Manager to join our team in Noida. The PM will be responsible for defining, prioritizing, and delivering high-quality digital experiences on Adobe’s AEP/ RTCDP. You will collaborate with engineering, design, marketing, AI, and partner teams to meet customer needs and business goals.
About AEP/RTCDP
Adobe Real-Time CDP (RTCDP), built on AEP, is an industry-leading customer data platform that enables enterprises to unify, govern, and activate customer data in real time across online and offline channels. It combines real-time and batch ingestion using a flexible data model (XDM), identity resolution, and AI-driven segmentation to power actionable customer profiles at scale — allowing brands to deliver timely, relevant, and personalized experiences while meeting enterprise-grade privacy, security, and data governance requirements.
Role Overview
We are looking for a Senior Product Manager to help define and scale the next generation of Adobe Experience Platform and Real-Time CDP capabilities, with a focus on the data foundation — Sources, Data Collection, Catalog, Profile, Identity, Segmentation, and Activation — that powers every downstream use case from personalization to Paid Media to AI/RAG. You will join the AEP/RTCDP Product Management team and drive products that sit at the core of customer experience, enabling ingestion, personalization and activation for some of the world’s largest brands. In this role, you will partner with engineering, design, AI, and go-to-market teams to operationalize and accelerate value across ingestion, management, and real-time activation.
What You’ll Do
- Shape the Future of the Data Foundation and Real-Time Customer Data – Define product strategy and proposals that enable enterprises to ingest, unify, govern, and activate customer data in real time, delivering measurable business impact in partnership with product, engineering, and go-to-market teams.
- Lead Competitive and Market Analysis – Research industry trends in customer data platforms, real-time data processing, data ingestion and management, intelligent activation, and AI-ready data foundations to inform roadmap priorities and maintain Adobe’s leadership.
- Define and Deliver Roadmaps – Partner with engineering and architecture teams to build and execute a roadmap that advances AEP and RTCDP capabilities across Sources, Data Collection, Catalog, profile unification, identity, segmentation, activation, and scalability. Define and track KPIs that prove business value for customers.
- Translate Customer Needs into Requirements – Convert complex enterprise use cases and jobs-to-be-done into clear, scalable product requirements, with a focus on data ingestion workflows, Edge profile and segmentation use cases, and real-time activation.
- Power AI and Paid Media Use Cases – Collaborate with AEP AI teams to ensure the data layer supports advanced use cases including high-quality data availability for Knowledge Base construction and RAG (Retrieval-Augmented Generation) workflows. Work closely with ecosystem partners (Paid Media networks, AdTech platforms) to streamline data onboarding and activation flows and ensure high-fidelity data exchange.
- Collaborate Across the Adobe Ecosystem – Work closely with other product managers, architects, and engineering leaders to deliver integrated solutions across Adobe Experience Cloud, including AEP, RTCDP, AJO, and Target.
- Drive Adoption, Insight, and Customer Impact – Engage with customers, field teams, and early adopters to validate solutions, iterate quickly, and ensure capabilities deliver high reliability, performance, and time-to-value at enterprise scale. Develop frameworks to measure product health and customer adoption, and translate complex telemetry into clear, actionable roadmaps for engineering and design teams.
Qualifications
- Education & Experience
- Bachelor’s degree in Business, Computer Science, Data Science, or equivalent experience; MBA or advanced degree preferred.
- Overall 8–12 years of work experience, with 6+ years of product management experience, ideally in a SaaS or enterprise software environment. Experience in Data Platform product is a strong preference
- Technical & Domain Expertise
- Strong understanding of Customer Data Platform concepts – profiles, identities, events, attributes, audiences, activation.
- Experience with data ingestion and management concepts – Sources, streaming/batch pipelines, datasets, catalog, and data quality.
- Experience with real-time and batch data processing systems.
- Familiarity with event-driven architectures.
- Familiarity with cloud platforms, APIs, and integration patterns.
- Preferably some exposure to AI/ML concepts focused on measurement, statistical analysis, or RAG/Knowledge Base workflows.
- Skills & Competencies
- Proven ability to define product vision and translate complex technical capabilities into clear business value.
- Excellent storytelling, communication, and product evangelization skills — can inspire adoption and drive cross-team collaboration across engineering, design, AI, and business teams, including senior leadership.
- Experience building lightweight prototypes (e.g., using Figma, Lovable, Cursor) to demonstrate ideas.
- Strong analytical and problem-solving skills with a data-driven mindset; comfortable using analytics tools to derive insights and define actions.
- Proven ability to lead, collaborate, and prioritize across multiple projects in a dynamic, matrixed, and geographically distributed environment, including managing morning and night calls as needed.
- Preferred
- Experience with Adobe Experience Cloud products (AEP, RTCDP, AJO, Target, etc.).
- Experience driving end-to-end value realization initiatives and building frameworks for data-driven product development.
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.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
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[email protected] or call +1 408-536-3015.
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 .
