Senior ML/AI Engineering Manager, GenAI Experiences

Our 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!

The Opportunity  

We are seeking an experienced Senior ML/AI Engineering Manager (M50) to lead the Experience ML/AI squad within GenAI Experiences. This role owns delivery of the ML strategy that moves AI Assistant from a reactive experience (driven primarily by agents) to real-time contextual intelligence, predictive workflow understanding, and safe natural-language UI control across Experience Cloud.  

This is a uniquely Experience focused role. We start from user outcomes—how products feel, work, and deliver value—and back into the right mix of ML techniques using UI context and user behavior/workflow signals to build proactive, grounded intelligence across Experience Cloud  

This is intentionally scoped for a senior leader who operates beyond a single project or model. Success requires setting strategy and one-year objectives, delegating across direct reports, and making complex tradeoffs where in-depth knowledge of organizational goals and product constraints is required — consistent with M50 expectations.  

You will lead execution across six persistent ML workstreams (the organizational unit of delivery), ensuring clear ownership, cross-team dependencies, and reusable ML foundations:  

Page & UI Semantic Understanding and Manipulation  

User Behavior, Intent & Workflow Analytics  

Heterogeneous Object & Graph Modeling  

NL Interaction with Cross Product New Services via Agents  

Edge Inference & Model Optimization  

Human-in-the-Loop Control & Learning  

Key Responsibilities  

• Set strategy and one-year objectives for the Experience ML program 

• Operationalize ML Execution and Quality Standards 

• Scale impact by both with and without headcount-only scaling (improving operating models, tooling, automation, and reuse across roadmaps and workstreams).  

• Remain hands-on enough to unblock: review strategic PRs/designs, guide technical choices, and help the team navigate tradeoffs  

• Communicate with senior leadership (Sr. Director/VP partners) to drive alignment on workstreams, resourcing approach, and strategic tradeoffs  

Qualifications  

• A Bachelor’s degree or equivalent experience in a relevant technical or scientific field such as Computer Science, Information Science, Human-Computer Interaction, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Physics, Cognitive Science, or Psychology. Master’s degree or PhD a plus, particularly in areas related to machine learning, human-centered AI, applied statistics, or computational sciences, but not required.