About The Position

The Gemini for Home Capabilities team is responsible for building the foundational intelligence capabilities that enable all of Google Home to create new Gemini-powered experiences for users and developer partners. As a Technical Program Manager of the Gemini for Home Capabilities team, you will own the software engineering schedule and product deliverables for Gemini for Home foundational intelligence capabilities. You will be working closely with the teams leveraging these capabilities to deliver new Gemini-powered experiences for Google Home users. You'll also use AI tools to streamline program management processes and enable teams to deliver high-quality features at scale. The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users’ homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.

Requirements

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience driving AI/ML technical projects in Software Development Life Cycle (SDLC).
  • Experience with generative AI and Large Language Models (LLM), infrastructure.

Nice To Haves

  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience in consumer electronics (e.g., phones, tablets, watches, etc.).

Responsibilities

  • Manage the full product lifecycle from feature concept to launch across a portfolio of programs and drive stakeholder visibility and alignment.
  • Adjust program priorities while navigating changing circumstances. Understand and manage expectations of cross-functional stakeholders.
  • Own feature request intake and development process, including engineering sprints framework. Own bug triage and prioritization process, helping developers focus on critical issues.
  • Drive software release schedules with defined milestones and integration with technical dependencies.
  • Assess the quality of features and releases through monitoring of eval data, bugs, and code changes to identify quality issues and trends. Leverage AI tools to develop streamlined program management processes.

Benefits

  • bonus
  • equity
  • benefits
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