Minimum qualifications:- Bachelor's degree in a relevant field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience in Machine Learning or Artificial Intelligence.
Preferred qualifications:- 5 years of experience managing cross-functional or cross-team projects.
- Experience with one or more of the following: automation, deep learning, speech recognition, TensorFlow.
- Experience managing execution and high quality product delivery.
- Ability to exercise technical judgment in solving software engineering challenges.
About the jobA 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.
As a Technical Program Manager focused on machine learning, you will use your expertise to drive innovation that enables Google's products to see, hear, and understand our users like never before.
The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
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 technology programs, defining milestones and success criteria, resource allocation, and successful on-time delivery.
- Understand Machine Learning technologies and their applications used at Google and beyond.
- Exercise technical judgment in working with large, cross-functional teams.
- Develop tools and processes to improve software engineering productivity.
- Communicate schedules, priorities, and status to all levels in the company.
