Minimum qualifications:
- Bachelor's degree in Engineering, Computer Science or equivalent practical experience.
- 8 years of experience in program management, program operations, and program design.
Experience with data analysis in the pursuit of software quality and performance.
- Experience in AI quality assurance/AI quality control.
Preferred qualifications:
- 3 years of experience managing large-scale and dynamic programs that involve hundreds of vendor managed resources.
- Experience with project management and ability to define projects and execute within timelines and with multiple stakeholders.
- Ability to deliver projects on time and on budget.
- Ability to operate with high energy and flexibility in a fast-paced, constantly evolving team environment, and navigate through ambiguity, and work separately.
- Ability to influence and communicate cross-functionally with all levels of management and having excellent communication skills.
About the job
Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.
Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.
Artificial Intelligence and Machine Learning 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 new center of gravity for Google’s AI/ML infrastructure efforts, strengthening cross-Google accountability and execution around key AI/ML efforts. The new AI Data organization will be responsible for creating a cohesive, well path for AI/ML at Google.
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.
Responsibilities
- Led global execution teams of 500–2,000 (in-house and extended workforce), managing the full project lifecycle from concept to launch while overseeing budgeting, headcount, and resource prioritization.
- Leverage Google products and tools to scale human-computation micro-tasks and imagery curation, driving operational efficiencies through machine learning-based automation.
- Partner with engineering and product management to resolve complex technical bottlenecks and align globally dispersed teams on critical program goals and site-related differences.
- Deliver advanced analysis to uncover improvement opportunities, implementing scalable quality frameworks and methodologies that directly enhance AI model performance.
- Guide high-stakes pilots and program evolutions in fast-paced environments, ensuring successful delivery against critical launch dates through flexible thought partnership.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also
Google's EEO Policy and
EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our
Accommodations for Applicants form.
