Technical Program Manager, AI Data Operations
Job Description
- Experience managing vendor resources
- Experience with large-scale, dynamic programs
- Excellent communication and influencing skills
- Bachelor's degree in CS/Engineering or equivalent
- 5+ years program management experience
- Cross-functional project management experience
- Resource allocation and process improvement
- KPI measurement and risk mitigation
Minimum qualifications:
- Bachelor's degree in Computer Science Engineering, or equivalent practical experience.
- 5 years of experience in program management.
- Experience in Program Management on technical cross-functional projects.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- 3 years of industry experience managing large-scale and dynamic programs, including vendor managed resources.
- Experience in project management, defining projects and executing within timelines and with multiple stakeholders.
- Ability to effectively operate with high energy and flexibility in a fast-paced, constantly evolving work environment.
- Ability to influence and communicate cross-functionally with all levels of management, with excellent verbal and written communication skills.
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.
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.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Leverage Google products, tools, and machine learning automation to enhance operational efficiency, optimize human computation micro-tasks, and drive large-scale AI improvements.
- Work closely with Engineering, Product, and AI Data Infra teams to align operational priorities, optimize workflows, and drive scalable solutions.
- Own resource allocation, process improvements, knowledge management, and tooling launches while managing escalations and critical incidents.
- Drive program execution, measure key performance indicators, mitigate risks, and contribute to budgeting, forecasting, and headcount planning for AI Data operations.
