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Technical Program Manager, Applied AI
Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 2 years of experience in program management.
Preferred qualifications:
- 4 years of experience with managing technical projects.
- Experience with cross-functional stakeholder management and leadership.
- Experience in testing and launching software products.
- Excellent communication skills.
- Excellent collaboration skills, with the ability to deliver solutions in a changing environment.
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.Platforms and Devices Engineering Infrastructure and Operations (PDEIO) is responsible for engineering productivity, infrastructure, and release efficiency for Android, Chrome Browser, ChromeOS, and other products and services at Google.
In this role, you will lead cross-functional programs. You will work with Product, Engineering, and other cross-functional stakeholders to drive end-to-end programs execution for Agentic Artificial Intelligence (AI).The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
- Be responsible for program scoping, planning, creating and managing integrated schedules, setting milestones and program tracking.
- Use leadership, product and technical judgment to drive program delivery, and working with engineering teams.
- Navigate multiple work streams, functional and technical concepts, and conversations across different areas and stakeholders to drive collaboration.
- Define launch metrics for AI features for partner teams.
- Standardize the approach for data collection, training, and feedback pipelines to facilitate expansion of AI features to stakeholders.