The Opportunity

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The Enterprise Marketing Data Engineering team at Adobe is transforming the convergence of data, AI, and marketing for advanced B2B interactions. Our objective is to construct the data and AI framework underpinning Adobe Experience Platform (AEP), Real-Time Customer Data Platform (RTCDP), and Customer Journey Analytics (CJA) to enable accurate audience segmentation.

Become part of the Enterprise Marketing Data Engineering AI Intern team working on AI-based agents for new marketing products. Explore building marketing data ecosystems, using generative AI for quick insights, and crafting scalable data pipelines and models for actionable enterprise AI.

Collaborate with engineers and data scientists on modern technologies like Databricks, Spark, AEP, Python, and extensive data modeling to contribute to Adobe’s marketing technology evolution.

All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.  

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What You’ll Do

· Collaborate with senior engineers to develop and optimize data pipelines powering marketing products driven by artificial intelligence.

· Engage in tasks related to Adobe Experience Platform (AEP) and Real-Time CDP for the structuring and handling of extensive data sets.

· Support the development of AI-based agents that bring to bear large language models to interpret, query, and analyze marketing data.

· Support data quality, transformation, and enrichment processes within Adobe's marketing data ecosystem.

· Develop prototypes illustrating how AI can boost marketing performance, personalization, and data accessibility.

· Analyze large datasets to identify trends, relationships, and opportunities for improving marketing outcomes.

· Document data flows, experiment results, and engineering guidelines to support knowledge sharing within the team.

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What You Need to Succeed

· Enrolled full-time in Computer Science or related field, expecting graduation Dec 2026 – Jun 2027.

· Ability to participate in a full-time internship between May–September 2026.

· Familiarity with Python, SQL, and data processing frameworks (e.g., PySpark, Spark, or Databricks).

· Foundational understanding of AI/ML concepts, data modeling, or ETL pipeline development.

· Experience with cloud platforms (Azure, AWS, or GCP) and/or data visualization tools (Power BI, Tableau, etc.).

· Strong analytical thinking, problem-solving, and communication skills.

· Eagerness to understand the impact of AI on enterprise marketing and a drive to construct practical solutions.

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