Principal Product Manager

Adobe

Quick summary

Work type
On-site
Location
San Francisco
Salary
$194,800–$282,100 / yr
Posted
26 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $238k
$146k most similar roles pay here $297k

This role pays more than 81% of similar roles. Most pay $160,775–$226,900 — the shaded band above. At the midpoint, this role pays about $238k versus about $194k 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 177 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 177 roles with salary data.

Most-posted roles

View all roles at Adobe

At a glance

TL;DR · Principal Product Manager

We are seeking a Principal Product Manager to join our team responsible for developing and maintaining the runtime and control plane for agents in Adobe CX Enterprise, transforming large language models into enterprise tools grounded in Adobe’s data. This role involves owning the core platform components such as the agent loop, tool protocols (MCP, A2A), skills, knowledge grounding, and ensuring trust & safety guarantees. You will define evaluation metrics, feedback loops, and developer surfaces for both skill developers and agentic app developers, while collaborating with engineering leads to balance building proprietary solutions versus adopting from open ecosystems. Ideal candidates have over seven years of experience in AI platforms or similar infra products, fluency in modern agentic stack technologies like Claude Code and Cursor, and a strong background in defining platform contracts and technical interfaces.

What you'll do

  • Own the runtime agentic core loop and define tool protocols, skills, and knowledge grounding.
  • Design the override and feedback loop for agent evaluation and improvement in production.
  • Drive developer surface development for Agent Developers and Agentic App Developers.
  • Decide on architectural choices between building internally or adopting from open ecosystem.
  • Partner with Applied Science and ML Eng to create agent quality benchmarks predicting customer outcomes.

What we're looking for

  • 7+ years of experience in PM roles with deep expertise in AI platforms, developer tools, or infrastructure products.
  • Fluent understanding and practical experience with MCP, skills, harness patterns, agent loops, tool use, context engineering, and evaluation.
  • Experience using Claude Code, Cursor, or similar agentic development environments to inform technical opinions.
  • Ability to design and enforce contracts and interfaces for platform stability and precision in terminology.
  • Strong communication skills across executive memos, engineering specs, and customer documentation.
  • CS or engineering background preferred; hands-on coding ability is beneficial but not required.

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