Principal Product Manager, Research and AI

Adobe Adobe · Enterprise · San Jose, CA +2

Principal Product Manager for Enterprise-focused generative AI, focusing on multimodal models (imaging, video, audio) for content production. Responsibilities include strategy, roadmap, customer engagement, and translating research into production-ready solutions with a focus on quality, customization, and governance.

What you'd actually do

  1. Collaborate with Enterprise teams and leadership to establish a vision while guiding roadmap creation and prioritization
  2. Set strategy, plan implementation, and coordinate day-to-day execution of multimodal generative model capabilities
  3. Interact directly with Enterprise customers to grasp workflows, governance constraints, and quality standards
  4. Collaborate closely with research and engineering to convert innovation into production-ready Enterprise solutions
  5. Provide a sharp quality eye in day-to-day model feedback while building scalable evaluation frameworks for performance and brand consistency

Skills

Required

  • 7+ years of product management experience
  • Experience building or scaling AI or ML-powered products in Enterprise or creative production contexts
  • Experience owning fine-tuning and model adaptation strategies end-to-end, from data sourcing through performance evaluation
  • Deep user orientation with demonstrated experience synthesizing direct customer input into product direction
  • Solid understanding of the generative AI market landscape and competitive dynamics
  • Strong ability to work collaboratively across research, engineering, and Enterprise partners

Nice to have

  • Experience with generative AI
  • Experience building tools for creatives and designers

What the JD emphasized

  • High standards for generative quality
  • Experience building or scaling AI or ML-powered products in Enterprise or creative production contexts
  • Experience owning fine-tuning and model adaptation strategies end-to-end, from data sourcing through performance evaluation

Other signals

  • leading enterprise-focused generative AI across imaging, video, and audio
  • setting the strategy, planning implementation, and coordinating the ongoing delivery of multimodal model capabilities
  • convert modern multimodal research into practical, high-quality solutions
  • customization strategies such as brand adaptation and fine-tuning approaches
  • ensure model capabilities match customer workflow needs, quality standards, governance requirements, and business goals