Job Description

Minimum qualifications:

• 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.

Preferred qualifications:

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

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

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.
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google

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.