About this role
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.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google (https://www.google.com/about/careers/applications/benefits/).
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 2 years of experience in program management.
- Experience with data pipeline development using SQL.
- Experience with business intelligence processes and tooling (e.g., dashboards).
Preferred qualifications:
- 2 years of experience managing cross-functional or cross-team projects.
- Experience in data warehousing, AI solutions, and presenting insights to senior stakeholders.
- Knowledge of data center operations or turnups, networking concepts, or component supply chains.
- Organize and streamline data pipelines through code authorship and reviews, upholding the team's data engineering standards.
- Translate complex business needs into intuitive dashboards and presentations that support networking delivery teams.
- Define, monitor, and analyze delivery performance data and metrics to produce business insights and recommendations for senior leadership.
- Deliver AI-centric solutions for the internal team and partner teams, and leverage AI to drive insights and accelerate operational decision-making.
- Identify, scope, and manage technical programs to drive cross-functional solutions that improve overall network operations and increase efficiency.