Principal Product Manager, Research and AI - Data

Adobe

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Jose, CANew York, NYSan Francisco, CA
Salary
$194,800–$282,100 / yr
Posted
60 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $238k
$152k most similar roles pay here $296k

This role pays more than 71% of similar roles. Most pay $181,300–$245,937 — the shaded band above. At the midpoint, this role pays about $238k versus about $214k 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.

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At a glance

TL;DR · Principal Product Manager, Research and AI - Data

Principal Product Manager, Research and AI - Data joins the Research and AI team to develop foundational generative AI models and applications for images, video, and more. This technical role focuses on defining and owning the data product roadmap, including end-to-end pipelines to scale training data for next-generation generative capabilities. The successful candidate will build systems to prioritize data acquisition, manage processing workflows, and translate modeling requirements into actionable data programs. Key responsibilities include establishing feedback loops with engineering and applied science teams, building institutional knowledge regarding data decisions, and ensuring commercial safety through legal collaboration. To succeed, the candidate must possess deep technical expertise in data pipelines, model training, quality metrics, and evaluation frameworks. The role requires experience in AI/ML or data-intensive environments to solve complex problems related to multimodal generative capabilities and proprietary data advantages like reward models.

What does a Product Manager earn in California?

Median $223300 from 163 postings across 44 companies.

See salary data

What you'll do

  • Define and own the end-to-end data product roadmap for scaling training data in generative models.
  • Build systems to prioritize data acquisition and processing based on downstream model performance needs.
  • Translate customer requirements into concrete, actionable data programs for engineering and science teams.
  • Establish feedback loops between modeling teams and data engineers to bridge the gap between evaluation and data strategy.
  • Document institutional knowledge regarding data decisions to enable faster iteration on model behavior.
  • Monitor and communicate data health metrics to relevant stakeholders at appropriate intervals.
  • Collaborate with legal teams to ensure all data programs meet commercial safety requirements.
  • Identify opportunities to build proprietary data advantages, such as reward models.

What we're looking for

  • Bachelor’s degree in computer science, engineering, or equivalent experience.
  • 7+ years of product management experience in AI/ML or data-intensive environments.
  • Technical depth regarding data pipelines, model training, quality metrics, and evaluation frameworks.
  • Ability to translate complex technical requirements for non-technical collaborators.
  • Experience with generative AI.
  • Experience building tools for creatives and designers.

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