About the Company: Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 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!

About the Role: Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 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!

Key Responsibilities: • Data Collection/Telemetry: Lead data collection efforts using tools like Adobe WebSDK and Adobe Launch, ensuring accurate tracking of user interactions and product performance. Collaborate with engineering teams to ensure smooth data flow and integrity. • AI/ML Application: Leverage AI and machine learning algorithms to automate data collection workflows, data validation of telemetry, predict trends, uncover insights, and optimize product features. • Product Optimization: Provide data-driven recommendations to optimize Adobe’s Experience Cloud products, applying AI/ML models for continuous improvement. • Cross-Functional Collaboration: Work with product, engineering, and marketing teams to turn business needs into data-driven solutions. • End-to-End Project Ownership: Independently manage analytics projects, ensuring that data insights are implemented effectively to drive business impact. • Storytelling & Communication: Present data insights clearly to both technical and non-technical stakeholders to inform product and business decisions.