Senior ML/AI Engineering Manager, GenAI Experiences

We are seeking an experiencedSenior ML/AI Engineering Manager (M50)to lead theExperience ML/AIsquad 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 auniquely 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 whooperatesbeyond a single project or model.Success requires setting strategy and one-yearobjectives, delegating across direct reports, and making complex tradeoffs where in-depth knowledge of organizational goals and product constraints is— 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-yearobjectivesfor 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 tounblock: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

• ABachelor’sdegree 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 PhDa plus, particularly in areas related to machine learning, human-centered AI, applied statistics, or computational sciences, butnot.

• 10+ years of engineering experience with strong technical depth; experienceshipping production systemsthat require high reliability and strong operational rigor.

• 6+ years of engineering management experience, including leading senior engineers and/or managers; ability to set direction and delegate across complex domains consistent with high visibility scope.

• Experience building ML systems thatmodelinguser behavior/workflows/data (e.g.event streams, interfaces as data, page semantics) andto inferintent and drive proactive UX — beyond traditional “system metrics/logs only” ML.

• Excellent communication and influence skills across technical and non-technical partners, including executive alignment on tradeoffs and investment.

Nice to Have

• Experience withon-device / edge ML constraints(latency, memory, privacy), and/or model optimization for client environments (the roadmap emphasizes client-side models and “edge inference & optimization”).

• Experience withknowledge graphs / heterogeneous modelingapproaches for cross-product grounding and reuse.

• Experiencebuilding human-in-the-loop systems(annotation, feedback, calibration, explainability, interruption management).

• Experience building UI and user experience workflows