Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Adobe

Principal Product Manager, Research and AI - Data

Adobe

Principal PM driving data roadmap for generative AI at Adobe. Overseeing data acquisition and processing to enhance model performance across various media.

Posted 5/17/2026full-timeSan Jose • California, New York • 🇺🇸 United StatesLead💰 $148,100 - $282,100 per yearWebsite

About the role

Key responsibilities & impact
  • Define and own the data product roadmap, including the end-to-end pipeline to significantly scale training data in generative models.
  • Build systems and processes to increase value from data: prioritize what we acquire, how we process it, and ensure it maps directly to downstream model performance needs.
  • Translate between modeling requirements and data reality – transform customer asks into concrete, actionable data programs.
  • Partner closely with data engineering and applied science to build feedback loops that close the gap between model evaluation and data approach.
  • Build institutional knowledge around data decisions - what was included, why, how it was processed - so the team can reason about model behavior and iterate faster.
  • Make data health visible to the right collaborators at the right time.
  • Partner with legal and collaborators to ensure data programs meet needs around commercial safety.
  • Find opportunities to build proprietary data advantages such as reward models.

Requirements

What you’ll need
  • Bachelor’s degree in computer science, engineering, or equivalent experience.
  • 7+ years of product management experience, with a significant portion in AI/ML or data-intensive environments.
  • Strong technical depth to hold conversations about data pipelines, model training, quality metrics, and evaluation frameworks.
  • Ability to translate between technical and non-technical collaborators.
  • Detailed thinking to build for scale.
  • Proactivity and comfort with ambiguity to refine problem statements and move fast without waiting for perfect information.
  • Attitude centered on balancing value, coverage, quality distributions, and downstream impact.
  • Great partner collaboration to build trust with engineering, science, legal, and leadership.
  • Bonus Qualifications: Experience with generative AI.
  • Experience building tools for creatives and designers.

Benefits

Comp & perks
  • health insurance
  • retirement plans
  • paid time off
  • flexible work arrangements
  • professional development opportunities

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data product roadmapdata pipelinesmodel trainingquality metricsevaluation frameworksgenerative AIdata processingdata programsfeedback loopsproprietary data advantages
Soft Skills
translation between technical and non-technical collaboratorsdetailed thinkingproactivitycomfort with ambiguitybalancing valuepartner collaborationbuilding trustiterative reasoningproblem statement refinementactionable data programs
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in engineeringequivalent experience