Senior Manager Engineering

Adobe

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Quick summary

Work type
On-site
Location
San Jose, CA
Employment
Full-time
Posted
39 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $212k
$135k $278k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $176,937–$246,150.

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 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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At a glance

TL;DR · Senior Manager Engineering

The Senior Manager Engineering – Meta Factory will lead the engineering teams responsible for the Meta Factory, a core component of the Adobe Unified Platform. This role involves owning engineering execution for the agent harness, agent definitions, execution loop, evaluation systems, self-improvement capabilities, and skills framework. You will build and lead a high-performing team to develop runtime, tool integrations, context management, and control mechanisms. The position requires technical depth in AI/ML systems, including LLM APIs, agent frameworks, and cloud platforms such as AWS or Azure. You will solve the technical problem of creating a model-independent system that helps autonomous agents understand goals, use tools, and evaluate outcomes. Success requires architecture judgment to identify fragile agent behavior and manage build-versus-buy evaluations for the agentic stack.

What does a Engineering Manager earn in California?

Median $279400 from 84 postings across 24 companies.

See salary data

What you'll do

  • Own engineering execution for the Meta Factory platform, including the agent harness and execution loop.
  • Lead the development of runtime, tool integrations, context management, and control mechanisms.
  • Build and lead a high-performing engineering team to deliver reliable and scalable AI systems.
  • Design feedback systems that enable agents to evaluate work and improve over time.
  • Conduct build-versus-buy evaluations to determine which capabilities to develop internally or adopt externally.
  • Apply the latest agentic standards and AI engineering practices to the Meta Factory stack.

What we're looking for

  • Experience building and scaling engineering teams that deliver AI, developer platform, or infrastructure systems.
  • 5+ years of people management experience.
  • 2+ years of experience leading teams that deploy AI applications in production.
  • Technical depth in AI/ML systems, including LLM APIs, agent frameworks, and cloud platforms like AWS or Azure.
  • Proficiency in modern software engineering practices.
  • Architecture judgment to review designs, evaluate tradeoffs, and identify production risks.
  • Experience developing engineers and supporting career growth.
  • Clear communication skills to explain technical concepts and align stakeholders.

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