Principal Product Manager, AI for Engineering

Adobe

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WASan Francisco, CASan Jose, CANew York, NY
Employment
Full-time
Posted
39 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $204k
$137k $272k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $177,250–$230,250.

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 · Principal Product Manager, AI for Engineering

The Principal Product Manager - AI for Engineering will lead the evolution of the engineering platform into a builder and efficiency platform. This role involves owning the agentic development platform end-to-end, including setting the vision, aligning teams, and driving measurable outcomes. You will identify use cases to streamline engineering workflows, translate findings into a clear roadmap, and deliver autonomous development solutions. Key responsibilities include building a shared source for agentic workflows, MCP servers, session management, evals, and observability. The ideal candidate possesses a strong technical foundation in platform architecture, AI/ML concepts, and systems thinking. You must demonstrate proficiency with LLM-based agents, agentic tooling, and observability to solve the business problem of scaling software development in a world where agent-generated code is the norm.

What does a Product Manager earn in Washington?

Median $224500 from 114 postings across 23 companies.

See salary data

What you'll do

  • Identify engineering use cases for agentic workflows and translate them into a clear platform roadmap.
  • Define and deliver an agentic-first, autonomous development solution for engineers.
  • Build a shared source for agentic workflows, MCP servers, session management, evals, and observability.
  • Establish a scalable technical foundation for a production environment where agent-generated code is the norm.
  • Translate contributor ideas into impactful product features and measurable improvements in developer efficiency.
  • Align executives and team members on critical platform outcomes and measurable goals.
  • Evangelize the platform by championing next-generation AI trends and technologies.

What we're looking for

  • 7+ years of product management experience.
  • At least 3 years of experience in roles spanning platform, infrastructure, or developer-facing products.
  • Demonstrated proficiency with and genuine enthusiasm for AI technology.
  • Strong technical foundation to engage credibly on platform architecture, AI/ML concepts, and systems thinking.
  • Track record of motivating change through influence across engineering, business, and cross-functional partners.
  • Hands-on familiarity with agentic tooling and concepts such as LLM-based agents, MCP, evals, and observability (preferred).

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