Principal Product Manager, Genai Landscape Intelligence

Adobe Adobe · Enterprise · San Jose, CA +2

Principal Product Manager to lead Adobe's Firefly Scientific Evaluation Team, focusing on understanding, tracking, and leveraging the third-party generative AI landscape. This role involves direct engagement with AI model providers, conducting rigorous evaluations, and translating insights into actionable strategy for product teams.

What you'd actually do

  1. Maintain a comprehensive, always-current view of the third-party generative AI landscape across image, video, audio, vector, 3D, and document modalities.
  2. Develop and continuously refine a structured evaluation framework that maps model capabilities to specific user needs and creative workflow stages.
  3. Track model releases, capability changes, pricing shifts, and licensing terms across all major and emerging 3P providers.
  4. Build and maintain direct relationships with 3P AI model providers, attending briefings, early-access programs, and industry events.
  5. Author and distribute high-quality intelligence reports — including landscape overviews, model spotlights, and head-to-head comparisons — consumed by senior leadership and product teams.

Skills

Required

  • 8+ years of product management experience
  • at least 3 years at the Principal or equivalent senior-IC level
  • Deep, hands-on familiarity with the generative AI ecosystem
  • Demonstrated experience conducting rigorous comparative model evaluations or competitive analysis
  • Proven track record of producing high-quality written intelligence or research artifacts
  • Strong external relationship-building skills
  • comfortable representing Adobe in direct partner and vendor conversations
  • Experience working cross-functionally with engineering, design, legal, and business development partners

Nice to have

  • Prior experience in an AI research, applied science, or technical PM role within a creative software or media technology company
  • Familiarity with creative professional workflows
  • Experience with structured data analysis or lightweight tooling (e.g., Python, SQL, no-code platforms)
  • Background in competitive intelligence, market research, or technology analyst roles

What the JD emphasized

  • Deep, hands-on familiarity with the generative AI ecosystem
  • Demonstrated experience conducting rigorous comparative model evaluations or competitive analysis
  • Proven track record of producing high-quality written intelligence or research artifacts

Other signals

  • evaluating third-party GenAI models
  • developing evaluation frameworks
  • tracking model releases and capabilities
  • publishing intelligence reports
  • consulting on 3P model integration