Product Manager, AI Garage

Google Google · Big Tech · Hyderabad, Telangana, India

Product Manager for Google's AI Garage, focusing on applying AI and agentic workflows to solve HR challenges for Google's global workforce. The role involves driving the product lifecycle from ideation to launch, collaborating with AI/ML engineers and data scientists, and translating user needs into product requirements.

What you'd actually do

  1. Drive the entire product lifecycle for AI Garage from initial ideation to final launch and subsequent product iterations to ensure successful and impactful AI deployments.
  2. Conduct user and market research to define the core AI product goal and strategy while translating insights into detailed requirements and user stories for engineers.
  3. Collaborate closely with AI/ML engineers and data scientists to prioritize key product features and guide daily development activities within a structured, fast-paced agile framework.
  4. Foster strong collaboration and clear communication between technical development teams and People Operations stakeholders to ensure complete organizational alignment across all product goals.
  5. Advocate a data-driven, user-centric approach by leveraging analytics and direct feedback to build impactful AI solutions that address the evolving needs of employees.

Skills

Required

  • product management
  • technical role
  • taking technical products from conception to launch
  • AI/ML-powered products or features
  • working with technical teams (UX, Engineers, Data scientists)
  • core concepts of Artificial Intelligence and Machine Learning (e.g., NLP, predictive modeling, Gen AI, Agent Architecture, Agent Evaluations)
  • data and analytics tools
  • analytical and problem-solving abilities

Nice to have

  • Master's degree in a technology or business related field

What the JD emphasized

  • AI Garage
  • Agentic workflows
  • Agent Architecture
  • Agent Evaluations

Other signals

  • AI Garage
  • Agentic workflows
  • AI/ML engineers
  • data scientists
  • HR stakeholders
  • Gen AI
  • Agent Architecture
  • Agent Evaluations