Technical Program Manager III, Generative AI Serving Efficiency, Google Cloud at Google

📍 Job Overview

Job Title: Technical Program Manager III, Generative AI Serving Efficiency, Google Cloud
Company: Google
Location: Sunnyvale, California, United States
Job Type: On-site
Category: Technical Program Management
Date Posted: August 8, 2025
Experience Level: 5-10 years
Remote Status: On-site

🚀 Role Summary

Lead cross-functional projects to deliver compute, platforms, and products supporting Google's AI-first products, research, and Cloud offerings.
Manage Generative AI Serving Efficiency program, enabling product areas to adopt the latest efficiency recommendations and optimize their serving fleet.
Collaborate with stakeholders to plan requirements, identify risks, manage project schedules, and communicate effectively across teams.
Contribute ideas, experiment, and take risks to shape the future of AI and Google Cloud.

📝 Enhancement Note: This role requires a strong technical background in program management, machine learning, and AI infrastructure to drive efficiency and innovation in Google's AI serving capabilities.

💻 Primary Responsibilities

Program Management: Develop and manage the overall program plan for Generative AI Serving Efficiencies, including communication, planning on migrations, applications of efficiency initiatives, and resource allocation.
Stakeholder Collaboration: Work with Technical Program Managers, Serving Engineers, and product area PoCs to define and prioritize feature gaps, obtain buy-in on key decisions, and facilitate collaboration between teams.
Progress Tracking: Track and manage the progress of efficiency rollouts, ensuring projects are delivered on time and within budget.
Communication: Keep stakeholders informed about the program's progress and address any concerns or issues that arise.
LLM Deployment Coordination: Facilitate collaboration and coordination between different teams involved in the LLM deployment process.

📝 Enhancement Note: This role requires strong project management skills, as well as the ability to understand and communicate complex technical concepts to both technical and non-technical stakeholders.

🎓 Skills & Qualifications

Education: Bachelor's degree in a technical field, or equivalent practical experience.

Experience: 5 years of experience in program management, with a focus on machine learning and AI infrastructure efficiencies.

Required Skills:

Program management
Machine learning
Infrastructure efficiencies
Generative AI
Cross-functional collaboration
AI infrastructure optimization
Customer focus
Technical expertise
Project management
Risk management
Stakeholder communication
Feature prioritization
Resource allocation
Efficiency initiatives
Collaboration
LLM deployment

Preferred Skills:

Experience managing cross-functional or cross-team projects
Building products and services that empower AI developers
Optimizing AI infrastructure for performance, scalability, and efficiency
Working collaboratively while being customer-focused
Passion for AI and its potential to transform the world

📝 Enhancement Note: Candidates with experience in accelerator technologies (e.g., GPU, caching, quantization, batching) and a strong understanding of AI serving infrastructure will be well-suited for this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience in program management, machine learning, and AI infrastructure efficiencies through relevant projects and case studies.
Showcase your ability to manage cross-functional teams and drive collaboration between different disciplines.
Highlight your understanding of AI serving infrastructure and generative AI through technical blog posts, presentations, or open-source contributions.

Technical Documentation:

Provide detailed project documentation, including requirements gathering, risk assessment, project plans, and post-implementation reviews.
Include any relevant code snippets, architecture diagrams, or other technical artifacts that demonstrate your technical expertise.

💵 Compensation & Benefits

Salary Range: The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Benefits:

Bonus
Equity
Benefits (including health insurance, retirement plans, and employee discounts)

Working Hours: Full-time position with standard working hours, including flexibility for project deadlines and maintenance windows.

📝 Enhancement Note: Salary estimates are based on Google's provided salary range and regional cost of living data for Sunnyvale, California.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, with a focus on AI, machine learning, and cloud services.

Company Size: Large (over 100,000 employees), with a decentralized, cross-functional structure that encourages innovation and collaboration.

Founded: 1998, with a strong commitment to research, development, and continuous learning.

Team Structure:

Cross-functional teams, including product managers, engineers, designers, and researchers.
Decentralized decision-making and a flat hierarchy, with an emphasis on autonomy and ownership.
Strong focus on collaboration and communication, both within and between teams.

Development Methodology:

Agile and iterative development processes, with a focus on rapid prototyping and user-centered design.
Cross-functional collaboration and continuous integration, with a emphasis on code reviews, testing, and quality assurance.
Regular retrospectives and post-implementation reviews to identify areas for improvement.

Company Website: Google Cloud

📝 Enhancement Note: Google's company culture is characterized by its commitment to innovation, collaboration, and user-centered design, with a strong emphasis on technical excellence and continuous learning.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Technical Program Manager, responsible for driving complex, multi-disciplinary projects and managing cross-functional teams.

Reporting Structure: Reports directly to the Google Cloud AI Platform team, with a matrixed reporting structure to other product areas and teams as needed.

Technical Impact: Responsible for defining and implementing strategies to optimize AI serving infrastructure, enabling product areas to adopt the latest efficiency recommendations and improve the performance of Google's AI-first products and services.

Growth Opportunities:

Technical leadership and mentoring opportunities within the AI Platform team and across Google Cloud.
Opportunities to work on cutting-edge AI technologies and contribute to open-source projects.
Potential to transition into a more specialized role within Google Cloud, such as a Technical Lead or Engineering Manager.

📝 Enhancement Note: This role offers significant opportunities for career growth and development within Google Cloud's AI Platform team and across the broader organization.

🌐 Work Environment

Office Type: On-site, with a modern, collaborative workspace designed to facilitate cross-functional collaboration and communication.

Office Location(s): Sunnyvale, California, with additional offices located worldwide.

Workspace Context:

Open-plan workspaces with ample natural light and comfortable seating areas.
Access to state-of-the-art technology, including high-performance workstations, multiple monitors, and testing devices.
Regular team-building events and social activities to foster a strong sense of community and collaboration.

Work Schedule: Standard working hours, with flexibility for project deadlines, maintenance windows, and on-call rotations.

📝 Enhancement Note: Google's work environment is designed to support collaboration, creativity, and innovation, with a strong focus on employee well-being and work-life balance.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A 30-minute call to discuss your background, experience, and fit for the role.
Technical Deep Dive: A 60-minute conversation focused on your technical expertise in program management, machine learning, and AI infrastructure efficiencies.
Behavioral Questions: A 60-minute discussion focused on your problem-solving skills, collaboration, and communication abilities.
Final Interview: A 60-minute conversation with the hiring manager to discuss your fit for the role and the team.

Portfolio Review Tips:

Highlight your experience in program management, machine learning, and AI infrastructure efficiencies through relevant projects and case studies.
Demonstrate your ability to manage cross-functional teams and drive collaboration between different disciplines.
Showcase your understanding of AI serving infrastructure and generative AI through technical blog posts, presentations, or open-source contributions.

Technical Challenge Preparation:

Brush up on your technical knowledge of program management, machine learning, and AI infrastructure efficiencies.
Prepare for questions about your experience managing cross-functional teams and driving collaboration between different disciplines.
Familiarize yourself with Google's development methodologies, including Agile and iterative development processes.

ATS Keywords:

Program Management
Machine Learning
AI Infrastructure Efficiencies
Generative AI
Cross-Functional Collaboration
Stakeholder Communication
Feature Prioritization
Resource Allocation
Efficiency Initiatives
LLM Deployment
Agile Development
Iterative Development
User-Centered Design
Technical Leadership
Mentoring
Collaboration
Innovation
AI-First Products
Cloud Services
AI Platform
Google Cloud

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise, problem-solving skills, and cultural fit within Google's AI Platform team and across Google Cloud.

🛠 Technology Stack & Web Infrastructure

Program Management Tools:

JIRA
Confluence
Google Workspace (Gmail, Google Docs, Google Sheets, Google Slides)

Machine Learning & AI Infrastructure Tools:

TensorFlow
PyTorch
Kubernetes
Docker
BigQuery
Cloud Storage
Cloud Functions
Cloud Pub/Sub
Cloud Monitoring
Cloud Logging

Collaboration & Communication Tools:

Slack
Google Meet
Zoom

📝 Enhancement Note: This role requires a strong understanding of Google's technology stack, including machine learning frameworks, AI infrastructure tools, and collaboration and communication platforms.

👥 Team Culture & Values

Web Development Values:

User-centered design and user experience optimization.
Collaboration and cross-functional teamwork.
Technical excellence and continuous learning.
Innovation and experimentation.
Customer focus and customer obsession.

Collaboration Style:

Cross-functional collaboration and communication, both within and between teams.
Regular team-building events and social activities to foster a strong sense of community and collaboration.
A flat hierarchy and decentralized decision-making, with an emphasis on autonomy and ownership.

📝 Enhancement Note: Google's team culture is characterized by its commitment to collaboration, innovation, and user-centered design, with a strong emphasis on technical excellence and continuous learning.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Managing complex, multi-disciplinary projects and driving collaboration between different teams and disciplines.
Defining and implementing strategies to optimize AI serving infrastructure and improve the performance of Google's AI-first products and services.
Keeping up with the latest developments in machine learning, AI infrastructure efficiencies, and generative AI.

Learning & Development Opportunities:

Technical training and development opportunities, including workshops, webinars, and online courses.
Opportunities to work on cutting-edge AI technologies and contribute to open-source projects.
Mentoring and coaching opportunities from experienced team members and industry experts.

📝 Enhancement Note: This role offers significant opportunities for technical growth and development, both within the AI Platform team and across Google Cloud.

💡 Interview Preparation

Technical Questions:

Program Management: Questions about your experience managing complex, multi-disciplinary projects and driving collaboration between different teams and disciplines.
Machine Learning & AI Infrastructure: Questions about your technical expertise in machine learning, AI infrastructure efficiencies, and generative AI.
Problem-Solving: Questions about your ability to identify and address complex technical challenges and develop creative solutions.

Company & Culture Questions:

Questions about your understanding of Google's mission, values, and culture.
Questions about your ability to work collaboratively and effectively within a cross-functional team.
Questions about your long-term career goals and aspirations.

Portfolio Presentation Strategy:

Highlight your experience in program management, machine learning, and AI infrastructure efficiencies through relevant projects and case studies.
Demonstrate your ability to manage cross-functional teams and drive collaboration between different disciplines.
Showcase your understanding of AI serving infrastructure and generative AI through technical blog posts, presentations, or open-source contributions.

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise, problem-solving skills, and cultural fit within Google's AI Platform team and across Google Cloud.

📌 Application Steps

To apply for this Technical Program Manager III, Generative AI Serving Efficiency, Google Cloud position:

Submit your application through the Google Careers website.
Customize your resume and portfolio to highlight your experience in program management, machine learning, and AI infrastructure efficiencies.
Prepare for the interview process by brushing up on your technical knowledge and practicing your problem-solving skills.
Research Google's mission, values, and culture to ensure a strong fit for the role and the team.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Technical Program Manager III, Generative AI Serving Efficiency, Google Cloud