Principal Technical Program Manager @ Adobe
Our CompanyChanging 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! The OpportunityAdobe Experience Platform Agent Orchestrator is the technology underpinning Adobe’s agentic framework — powering the building and coordination of Adobe Experience Platform Agents. It also enables collaboration with third-party agents to solve complex problems and aid decision-making. Built on Adobe Experience Platform, these agents empower your teams to focus on strategy, creativity, and driving high-impact outcomes. You will represent the Agent Orchestrator team internally across product and cross-functional initiatives, define priorities, bring clarity, and lead continuous agile development. Successful candidates will have a strong technical background and a passion for delivering high-quality software and AI-powered capabilities through effective and efficient engineering processes.What you'll doCoordinate and lead engineering, AI/ML platform development, and operational efforts across multiple teams and regions to deliver scalable, intelligent experiences.Drive the execution of programs involving AI/ML model integration, data pipelines, inferencing infrastructure, and performance optimization.Collaborate closely with Product, Data Science, and Engineering to translate customer needs into high-impact AI capabilities.Demonstrate adept conflict resolution and negotiation abilities.Efficiently manage interdependencies, monitor potential issues and risks, and formulate contingency plans.Drive alignment and execution for both traditional software components and machine learning model lifecycles.Communicate effectively with both technical and non-technical team members, including insights into architecture and model… Apply To This Job