Principal Product Manager, Research - AI Safety

Adobe Adobe · Enterprise · San Jose, CA +3

Principal Product Manager to lead the development of commercial AI safety systems, defining strategy and driving execution of frameworks and protections for Adobe's generative AI ecosystem. This role involves collaborating with AI Safety, research, legal, and engineering teams to ensure trustworthiness and commercial viability.

What you'd actually do

  1. Define and lead the roadmap for commercial safety systems throughout Adobe's model environment, collaborating with AI Safety, research, legal, and product leadership
  2. Translate safety research and innovations into production-ready systems and features
  3. Develop scalable evaluation frameworks and analyze data to grasp and convey tradeoffs between safety protections and generative quality
  4. Engage with customers and internal collaborators to understand governance requirements and compliance needs
  5. Track the evolving AI safety and regulatory landscape to build our product response

Skills

Required

  • 7+ years of product management experience
  • Experience shipping AI or ML-powered products
  • Comfort navigating ambiguous, fast paced legal and technical environments
  • Strong cross-functional instincts; you'll collaborate across research, engineering, legal, and policy
  • Strong focus on metrics; capable of measuring tradeoffs and applying data to guide decisions, particularly when safety and generation experience are in conflict
  • Customer-first approach with a track record of building scalable systems grounded in real user needs

Nice to have

  • Experience with AI safety, content moderation, or trust and safety systems
  • Experience collaborating with legal or policy teams
  • Background in generative AI

What the JD emphasized

  • shipping AI or ML-powered products
  • Comfort navigating ambiguous, fast paced legal and technical environments
  • Strong focus on metrics; capable of measuring tradeoffs and applying data to guide decisions, particularly when safety and generation experience are in conflict
  • AI safety
  • regulatory landscape

Other signals

  • Develop scalable evaluation frameworks
  • Track the evolving AI safety and regulatory landscape
  • Translate safety research and innovations into production-ready systems