Product Manager I, Ai/ml

Google Google · Big Tech · Mountain View, CA +1

Product Manager for AI/ML within Google Ads, focusing on leveraging unique data and advanced ML techniques to improve ad systems, measurement, and advertiser value, while navigating privacy and regulatory changes.

What you'd actually do

  1. Support Product Requirements Documents (PRDs) by collaborating with partner teams (e.g., engineers, Program Managers, and User Experience) during product design and development to implement the requirements.
  2. Define product roadmaps by operationalizing defined strategy.
  3. Articulate defined product goals in a way that captures attention and compels others to drive action despite obstacles and competing priorities.
  4. Validate the market size and opportunity (e.g., user-based and business); identify opportunities in the market landscape.
  5. Facilitate launches, maintenance, and retirement in collaboration with other cross-functional teams and stakeholders.

Skills

Required

  • 3 years of experience in product management or related technical role
  • 1 year of experience taking technical products from conception to launch
  • Experience developing or launching products or technologies within artificial intelligence or machine learning (AI/ML)

Nice to have

  • Master's degree in a technology or business related field
  • 2 years of experience in a business function or role
  • 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders
  • 2 years of experience in a role preparing and delivering technical presentations to executive leadership
  • 1 year of experience in software development or engineering
  • Experience building accessibility best practices and incorporating accessibility into product development methodologies

What the JD emphasized

  • applying unique data that powers the next generation of Google’s ads systems
  • apply advanced ML/modeling techniques
  • Experience developing or launching products or technologies within artificial intelligence or machine learning (AI/ML)

Other signals

  • apply unique data that powers the next generation of Google’s ads systems
  • leverage new and existing types of privacy-preserving techniques
  • ideate and apply advanced ML/modeling techniques to deliver measurement breadth and accuracy for advertisers