Product Manager, Agent and Skill Authoring, Google Ads

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

Product Manager for Agent and Skill Authoring within Google Ads' Customer Engagement team. This role focuses on driving agentic automation by owning the product vision for frameworks and tooling that enable engineers and domain experts to build, debug, evaluate, and scale multi-step AI agents. The goal is to enable portability, speed, and reliability with governance and observability, bridging GenAI technology with developer tooling for high-impact automation.

What you'd actually do

  1. Define the direction and roadmap for agentic AI within our platform, aligning with core business goals.
  2. Partner with engineering to turn product outlook into technical specifications and evaluate decisions' product impact.
  3. Master partner use cases to build platform capabilities that maximize technical user and customer value.
  4. Coordinate with design, engineering, sales, and research teams to deliver cohesive, successful product launches.
  5. Partner across Google (including DeepMind) and track emerging trends to integrate AI into the platform.

Skills

Required

  • product management
  • integrating generative AI tools or LLM interfaces into workflows
  • launching AI/LLM-based agents into a production environment

Nice to have

  • Master's degree in a technology or a business related field
  • strategic marketing
  • business operations
  • consulting
  • preparing and delivering technical presentations to senior leadership
  • software development or engineering
  • working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders

What the JD emphasized

  • own the product vision for the frameworks and tooling that allow engineers and domain experts to build, debug, evaluate, and safely scale complex, multi-step AI agents
  • Experience launching AI/LLM-based agents into a production environment

Other signals

  • drive agentic automation
  • own the product vision for the frameworks and tooling that allow engineers and domain experts to build, debug, evaluate, and safely scale complex, multi-step AI agents
  • bridge SOTA GenAI technology with developer tooling to power high-impact automation globally
  • Experience launching AI/LLM-based agents into a production environment