Director of Engineering, Machine Learning & AI Products

Adobe

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$265,700–$384,675 / yr
Posted
45 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $250k
This role $325k
$170k most similar roles pay here $408k

This role pays more than 88% of similar roles. Most pay $211,200–$287,947 — the shaded band above. At the midpoint, this role pays about $325k versus about $250k 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 218 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 216 roles with salary data.

Most-posted roles

View all roles at Adobe

At a glance

TL;DR · Director of Engineering, Machine Learning & AI Products

Director of Engineering – Machine Learning & AI Products leads a high-caliber machine learning engineering organization focused on developing AI-native, production-ready products for external clients. This leader manages the entire lifecycle of sophisticated AI systems, moving beyond proofs-of-concept to build scalable, reliable, and customer-facing solutions. Key responsibilities include overseeing system architecture, model integration, performance monitoring, and incident response while collaborating with product teams to define vision and differentiation. The role requires extensive expertise in machine learning, software engineering, and production architecture to solve complex technical challenges for external customers. Candidates must possess strong leadership skills to mentor senior engineers and scale the team from four to over twenty members. The work involves navigating the complexities of large-scale AI systems within domains such as marketing technology, sales technology, or customer experience platforms to ensure enterprise-grade reliability and operational success.

What does a Engineering Director earn?

Median $307000 from 31 postings across 22 companies.

See salary data

What you'll do

  • Deliver end-to-end production-ready AI/ML solutions that move beyond proof-of-concept to scalable, customer-facing systems.
  • Lead technical discussions on system architecture, model integration, performance, and operational readiness.
  • Collaborate with Product Management to define product vision and ensure differentiation from general-purpose LLM capabilities.
  • Scale and manage a high-caliber ML engineering organization from 4 to over 20 engineers.
  • Mentor senior engineers and leaders while managing performance, career development, and succession planning.
  • Act as the primary technical voice for customers regarding roadmap discussions and production issue resolution.
  • Ensure operational excellence through monitoring, incident response, and rigorous testing of all released products.
  • Establish scalable engineering processes that balance rapid iteration with enterprise-grade reliability.

What we're looking for

  • Over 15 years of experience in software engineering.
  • Extensive expertise in machine learning or systems driven by artificial intelligence.
  • Proven history of delivering and managing AI/ML products in production environments.
  • Strong business and commercial exposure with leadership of customer-facing, revenue-impacting AI/ML products.
  • Experience with ML system build, production architecture, and real-world operational challenges.
  • Demonstrated success leading, mentoring, and scaling senior technical teams.
  • Ability to engage with product partners to debate technical and product tradeoffs.
  • Experience working directly with external customers to understand production realities.

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