Technical Program Manager, Geo Data Ops
1 week ago
- Bachelor's degree in a technical field, or equivalent practical experience.
- 2 years of experience in managing projects or programs.
- Experience in technical program management, change management, Artificial Intelligence and Machine Learning.
- Experience in technical program management, change management, Artificial Intelligence and Machine Learning.
- 2 years of experience managing cross-functional or cross-team projects.
- Experience collaborating and working with global teams along with excellent problem-solving and decision making skills.
- Knowledge of Gen AI technologies and applications.
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 Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.
- Work with global Program Management team to develop and deliver AI Automation projects from conception to implementation, manage the relationships across Engineering and Operations.
- Develop processes and systems to ensure AI workflow adoption and re-engineering.
- Create Operational and Product requirement documents that solve challenges through AI and Agents.
- Manage resolution of project related technical issues and engage with Engineering to determine root cause and solution.
- Experiment with AI self service automation technologies (ADK, AI Studio etc) to solve operational challenges.
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