Engineering Manager, Express AI Foundations

Adobe

Quick summary

Work type
On-site
Location
San Jose
Salary
$200,200–$289,900 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $245k
$165k most similar roles pay here $303k

This role pays more than 68% of similar roles. Most pay $184,850–$246,150 — the shaded band above. At the midpoint, this role pays about $245k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 317 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 317 roles with salary data.

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At a glance

TL;DR · Engineering Manager, Express AI Foundations

As an Engineering Manager at Adobe Express’s AI Foundations team, you will lead a diverse group of engineers building the scalable AI infrastructure that powers creative tools for millions of users. Your role involves setting technical direction and ensuring high-quality delivery across Agentic AI, Imaging AI, Motion AI, and Personalization AI projects. You’ll collaborate closely with product management, research, and cross-functional teams to integrate advanced AI models into production systems while maintaining a strong focus on responsible AI practices. Additionally, you will manage the growth of your team by setting clear expectations, providing regular feedback, and fostering an inclusive culture that supports career development at all levels. Ideal candidates have 3-5 years of engineering management experience with a solid background in distributed systems, AI/ML infrastructure, and large-scale service development.

What you'll do

  • Own end-to-end delivery of AI infrastructure workstreams from planning through production.
  • Set and communicate a coherent technical roadmap, balancing immediate delivery with long-term architecture.
  • Collaborate with product management to decompose high-level requirements into concrete technical tasks.
  • Drive prioritization across competing demands, ensuring clear rationale for team alignment.
  • Manage and grow a team of 6–10 engineers, providing regular coaching and career development support.

What we're looking for

  • 3-5 years of engineering management experience with a track record in complex infrastructure projects.
  • Strong technical foundation in distributed systems, AI/ML infrastructure, and large-scale service development.
  • Experience owning team execution end-to-end, including structured prioritization and dependency management.
  • Clear communication skills to translate technical trade-offs into business terms for stakeholders.
  • Demonstrated ability to grow engineers through coaching, feedback, and supporting career progression.
  • Working fluency in modern AI/ML concepts like LLM orchestration and prompt engineering.
  • Familiarity with MLOps practices including feature stores, model registries, and evaluation pipelines.

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