senior software engineering Engineering Manager hybrid 10+ yrs Bachelor's · Posted Mar 16, 2026
$178,900 – $351,225
USD per year

About this role

Adobe is hiring a senior-level Engineering Manager in the software engineering function based in San Jose, CA. The posting calls out experience with Express, Machine Learning, LLMs and roughly 10+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $178,900–$351,225 per year.

Role
Engineering Manager
Function
software engineering
Level
senior
Track
hybrid
Employment
Full-time
Location
San Jose, CA
Experience
10+ years
Education
Bachelor's degree
Department
Engineering and Product
Posted
Mar 16, 2026
AI Summary
Lead ML/AI strategy and execution for Experience Cloud, managing six workstreams focused on contextual intelligence, predictive workflows, and natural-language UI control. Set annual objectives, delegate across direct reports, and make complex technical tradeoffs. Requires 10+ years engineering experience with 6+ years managing senior engineers, plus deep ML systems expertise.

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Job description

from Adobe careers

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  

This is an excerpt. Read the full job description on Adobe careers →
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