Principal Product Manager

Microsoft Microsoft · Big Tech · Bengaluru, KA, IN · Product Management

Principal Product Manager for Microsoft AI's Trust and Safety team, focusing on AI-powered products for business growth and monetization. The role involves shaping the future of ads integrity, anticipating emerging abuse vectors like synthetic media and agentic attacks, and building platform-level safety solutions. Requires expertise in Trust, Safety, Integrity, or Fraud Prevention, driving multi-year strategies, and influencing cross-organizational change. The role operates within Microsoft AI (MAI), which handles Copilot, Bing, Edge, and other AI-first products, emphasizing collaboration with Product, Engineering, and Research.

What you'd actually do

  1. Drive building world-class AI experiences and platforms that will allow Microsoft AI to keep consumers safe and deliver sustainable business growth.
  2. Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations.
  3. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
  4. Translate business goals into strategy, user experience and technical requirements in close collaboration with UX, Data Science, Engineering, AI research, and Product Marketing teams.
  5. Define goals and performance indicators, set up and oversee experiments, measure success with data and research.

Skills

Required

  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
  • 8+ years of experience in product management, with at least 1+ years focused on Trust & Safety, abuse prevention, or security-related products.
  • Experience leading products built on AI/ML systems from the ground up.
  • Background in driving multi-year strategic initiatives in complex, cross-functional environments.
  • Demonstrated experience aligning with senior engineering stakeholders in high-stakes, fast-moving product spaces.

Nice to have

  • Deep experience in Trust & Safety, Integrity, or Cybersecurity at a global scale impacting multi million users or dollars.
  • Advanced understanding of Agentic AI, Large Language Models (LLMs), Generative AI, and adversarial machine learning, with the ability to partner deeply with AI and Infra teams.
  • Ability to use complex data sets to identify non-obvious patterns and drive fundamental changes in product direction.
  • Experience navigating the intersection of product features, local laws, and global cultural nuances across different time zones.

What the JD emphasized

  • Trust, Safety, Integrity or Fraud Prevention expertise
  • track record of building platform-level safety, moderation, or abuse-prevention solutions
  • AI/ML systems
  • Agentic AI
  • Large Language Models (LLMs)
  • Generative AI
  • adversarial machine learning

Other signals

  • AI platform shift
  • AI-first products
  • emerging AI industry
  • AI Monetization Platform
  • Trust, Safety, Integrity or Fraud Prevention expertise
  • building platform-level safety, moderation, or abuse-prevention solutions
  • AI/ML systems
  • Agentic AI
  • Large Language Models (LLMs)
  • Generative AI
  • adversarial machine learning