Program Manager, AI Data Operations
About the job
SummaryBy Outscal
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in Program or Project Management.
- 5 years of experience managing programs, with competing resource requirements and priorities.
- Ability to take initiative, work independently and on multiple initiatives at the same time, and effectively influence and communicate cross-functionally with all levels of management.
- Excellent verbal and written communication skills.
- Passion to advance AI.
- Understand various Google products, tools, and processes and leverage them to push machine learning based automation and increase operational efficiencies.
- Setup and manage large in-house/outsourced project execution teams, and associated processes to ensure successful completion of a program.
- Manage large projects from concept to launch, developing and coordinating realistic project estimates, plans, and/or metrics, working and communicating effectively with Engineering, Product Management, Operations, and customers.
- Monitor, measure, and communicate project progress, potential risks and delays, and team performance to globally dispersed program teams, executives and other sponsors.
- Take the lead in driving cross-office collaboration and resolving any site-related differences.
- Understand, develop, and collaborate with Engineering, and cross-product groups to find solutions to optimize and scale human computation micro-tasks on machine learning and imagery curation/moderation pipelines.
- 10 years of Program Management experience managing large-scale and dynamic programs that involve vendor managed resources.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in Program or Project Management.
- 5 years of experience managing programs, with competing resource requirements and priorities.
Preferred qualifications:
- 10 years of Program Management experience managing large-scale and dynamic programs that involve vendor managed resources.
- Ability to take initiative, work independently and on multiple initiatives at the same time, and effectively influence and communicate cross-functionally with all levels of management.
- Excellent verbal and written communication skills.
- Passion to advance AI.
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 Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.
Machine Learning (ML) is a critical area of investment for Google. We have a big opportunity to further unify developer tooling and infrastructure to meet the fast pace of innovation in an ever evolving field that is critical to many of Google’s products. AI Data operations will be the center of gravity for Google’s ML infrastructure efforts, strengthening cross-Google accountability and execution around key ML efforts. The Core ML organization is responsible for creating a cohesive, well lit path for machine learning at Google. As a Program Manager, you will lead complex, multidisciplinary programs. You will plan requirements with internal customers and usher projects through the entire project lifecycle.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Understand various Google products, tools, and processes and leverage them to push machine learning based automation and increase operational efficiencies. Setup and manage large in-house/outsourced project execution teams, and associated processes to ensure successful completion of a program.
- Manage large projects from concept to launch, developing and coordinating realistic project estimates, plans, and/or metrics, working and communicating effectively with Engineering, Product Management, Operations, and customers.
- Monitor, measure, and communicate project progress, potential risks and delays, and team performance to globally dispersed program teams, executives and other sponsors. Take the lead in driving cross-office collaboration and resolving any site-related differences.
- Understand, develop, and collaborate with Engineering, and cross-product groups to find solutions to optimize and scale human computation micro-tasks on machine learning and imagery curation/moderation pipelines.
About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
