Principal Product Manager, GenAI Landscape Intelligence
$194,800–$282,100 year
On-siteSan Francisco, California, United States or San Jose, California, United States
Job Summary
Maintain a comprehensive, always-current view of the third-party generative AI landscape across image, video, audio, vector, 3D, and document modalities by tracking model releases, capability changes, pricing shifts, and licensing terms. Develop and refine a structured evaluation framework that maps model capabilities to specific user needs and creative workflow stages. Build direct relationships with 3P AI model providers through briefings, early-access programs, and industry events while conducting primary research via hands-on model testing and benchmarking. Author high-quality intelligence reports including landscape overviews and head-to-head comparisons, distributed on a regular cadence to senior leadership and product teams. Serve as an embedded advisor to Firefly and Creative Cloud product teams, providing concrete, data-backed recommendations on third-party model integration opportunities.
Required Qualifications
- 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 consumed by executive and cross-functional audiences
- Strong external relationship-building skills
- Experience working cross-functionally with engineering, design, legal, and business development partners
Desired Qualifications
- 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 across design, photography, video, illustration, or similar subject areas
- Experience with structured data analysis or lightweight tooling (e.g., Python, SQL, no-code platforms) to support intelligence synthesis
- Background in competitive intelligence, market research, or technology analyst roles
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