Technical Program Manager III, Infrastructure Resource Analytics

1 Month ago • 5-5 Years • Artificial Intelligence • $156,000 PA - $229,000 PA

Job Summary

Job Description

As a Technical Program Manager III at Google Cloud, you will lead complex, multi-disciplinary projects focusing on infrastructure resource analytics. You'll collaborate with technical leads, define roadmaps, drive execution of programs for efficiency and sustainability, build dashboards to track KPIs, and partner with engineering and product management. The goal is to deliver measurable efficiencies for Google's fleet, identifying areas for improvement and influencing project funding decisions. This role requires strong data analysis skills (SQL, Python, etc.), experience managing cross-functional projects, and excellent communication skills to interact with both technical and non-technical audiences.
Must have:
  • Bachelor's degree in technical field or equivalent experience
  • 5+ years program management experience
  • Experience leading software engineering or infrastructure programs
  • Data analysis, data science, or scripting experience (SQL, Python, etc.)
  • Cross-functional project management experience
Good to have:
  • Experience in hardware and software efficiencies for data centers
  • Experience with machine learning platforms and systems
  • Excellent communication, analytical, and problem-solving skills
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience leading software engineering or software infrastructure programs.
  • Experience with data analysis, data science, or scripting (e.g., utilizing Machine Learning, SQL, Python, Bash, Tableau, etc.).

Preferred qualifications:

  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience driving cross-functional programs in hardware and software efficiencies for data centers.
  • Experience in machine learning platforms and systems, with knowledge of design and deployment of these systems.
  • Excellent verbal and written communication and presentation skills, with the ability to interact with both technical and non-technical audiences.
  • Excellent analytical, problem-solving, negotiation, and organizational skills.

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 team's goal is to deliver measurable efficiencies for the Google fleet in partnership with engineering teams across the technical infrastructure development teams. You will drive resource efficiency and sustainability initiatives, and contribute to company-level objectives and key results. You will also identify areas for improvement, develop data-driven recommendations, and influence the pipeline of projects and funding decisions, ensuring investments are being made in impactful and strategic areas.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $156,000-$229,000 + 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 .

Responsibilities

  • Collaborate with technical leads and subject matter experts to define roadmaps for the technology areas.
  • Drive execution and landings for cross-cutting programs within Efficiency and Sustainability that deliver towards measurable impact and a more efficient use of resources in the Google fleet.
  • Build dashboards and visualizations to track key performance indicators (KPIs) related to resource efficiency and sustainability.
  • Partner with engineering and product management to define dependencies and customer engagement models to deliver outcomes and impact.

Similar Jobs

Next Level Business Services - JAvA Full Stack Developer

Next Level Business Services

New York, New York, United States (On-Site)
7 Months ago
Axon - Senior Platform Engineer

Axon

Seattle, Washington, United States (Hybrid)
1 Month ago
Turbulent - Senior DevOps Engineer

Turbulent

Montreal, Quebec, Canada (On-Site)
1 Month ago
Alation - Cybersecurity Engineer

Alation

Redwood City, California, United States (Hybrid)
1 Month ago
Treelix - Senior Software Engineer

Treelix

Aylesbury, England, United Kingdom (Hybrid)
1 Month ago
Google - Software Engineer III, AI/ML GenAI

Google

New York, New York, United States (On-Site)
1 Month ago
Google - AI Product Lead, GSA

Google

Mountain View, California, United States (On-Site)
1 Month ago
ByteDance - Research Scientist- Foundation Model, Generative AI

ByteDance

Seattle, Washington, United States (On-Site)
7 Months ago
Google - Senior Software Engineer, Visual Language and Multimodal Modeling

Google

Sydney, New South Wales, Australia (On-Site)
1 Month ago
PlayStation Global - Sr. ML Software Engineer

PlayStation Global

United States (Remote)
2 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Rackspace Technology - Google Cloud Engineer IV

Rackspace Technology

United States (Remote)
4 Months ago
Granicus - DevOps Engineer II

Granicus

Bengaluru, Karnataka, India (Hybrid)
3 Months ago
Rackspace Technology - Linux Systems Engineer IV

Rackspace Technology

India (Remote)
1 Month ago
Aristocrat Gaming - Senior Systems Reliability Engineer (SRE)

Aristocrat Gaming

Austin, Texas, United States (Hybrid)
2 Months ago
Vendavo - DevOps Engineer

Vendavo

Chennai, Tamil Nadu, India (Hybrid)
1 Month ago
ION - Senior DevSecOps Engineer, Italy

ION

London, England, United Kingdom (On-Site)
7 Months ago
Veeam Software - DevOps Engineer with CI/CD focus

Veeam Software

Bucharest, Bucharest, Romania (Hybrid)
1 Month ago
Playrix - Senior Release Support Engineer

Playrix

Portugal (Remote)
7 Months ago
NVIDIA - Senior HPC AI Cluster Engineer

NVIDIA

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)
3 Months ago
NewGlobe - Senior DevOps Engineer

NewGlobe

Lagos, Lagos, Nigeria (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

Jobs in Sunnyvale, California, United States

zones carrers  - Human Resources Business Partner - Sales

zones carrers

Auburn, Washington, United States (Hybrid)
1 Month ago
Springer Group - Publisher

Springer Group

New York, United States (Hybrid)
1 Month ago
Dmg - Senior Technical Program Manager

Dmg

Cincinnati, Ohio, United States (On-Site)
1 Month ago
Netflix - Technical Solutions Lead, Talent Analytics

Netflix

Los Gatos, California, United States (Remote)
1 Month ago
Blizzard Entertainment - Senior Software Engineer, Gameplay Tools

Blizzard Entertainment

Albany, New York, United States (Hybrid)
3 Months ago
Frontier Developments - Pipeline Technical Director

Frontier Developments

Los Angeles, California, United States (On-Site)
1 Month ago
ByteDance - Research Scientist, Multimodality

ByteDance

Seattle, Washington, United States (On-Site)
7 Months ago
Pocket Worlds - Lead Backend Engineer

Pocket Worlds

Austin, Texas, United States (Remote)
2 Months ago
Tencent - Workday Business Analyst -  HCM

Tencent

Palo Alto, California, United States (On-Site)
7 Months ago
Epic Games - Senior Engineer, Data Platform

Epic Games

Cary, North Carolina, United States (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

Canva - Senior Computer Vision Engineer - Photo AI

Canva

Prague, Czechia (Remote)
4 Months ago
Passive Logic - AI Control Theory & Optimization Scientist

Passive Logic

Salt Lake City, Utah, United States (On-Site)
5 Months ago
Krafton  - Deep Learning Engineer - LLM Game Agent

Krafton

Seoul, South Korea (On-Site)
3 Months ago
ByteDance - Research Scientist Graduate (Foundation Model Speech & Audio Generation)

ByteDance

Seattle, Washington, United States (On-Site)
1 Month ago
Inworld AI - Staff C++ Engineer

Inworld AI

Mountain View, California, United States (On-Site)
2 Months ago
Google DeepMind - Research Scientist, Language

Google DeepMind

Bengaluru, Karnataka, India (Hybrid)
8 Months ago
DNEG - Head of Machine Learning

DNEG

London, England, United Kingdom (Remote)
2 Months ago
Nextbrain - Computer Vision Engineer

Nextbrain

Bengaluru, Karnataka, India (On-Site)
6 Months ago
Ubisoft - Senior ML Data Scientist

Ubisoft

Montreal, Quebec, Canada (On-Site)
2 Months ago
Canva - Senior Computer Vision Engineer - Photo AI

Canva

Vienna, Vienna, Austria (Remote)
4 Months ago

Get notifed when new similar jobs are uploaded