Senior Technical Program Manager, Gemini
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Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- Experience in Machine Learning Infrastructure.
Preferred qualifications:
- 8 years of experience managing cross-functional or cross-team projects.
- Experience in launching Machine Learning or Artificial Intelligence products from research to production.
- Ability to effectively operate in a dynamic, fast-paced environment and to manage multiple projects and stakeholders simultaneously.
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.
In this role, you will play a key role in accelerating Gemini from Research to Production. Partner with product managers, engineers, and leadership to define roadmaps, prioritize features, and ensure reliable delivery of high velocity launches at scale. Thrive in a fast-paced, innovative environment where your technical expertise and program management skills will directly impact Google's AI strategy.
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
- Develop and manage the overall program plan for GenAI development and deployment, including requirements gathering, risk assessment, and resource allocation
- Work closely with researchers, engineers, and other stakeholders to define and prioritize LLM features and capabilities across various workstreams (infra, data, model, eval, deployment).
- Track and manage the progress of LLM development and deployment, identifying and mitigating risks, and ensuring that projects are completed on time and within budget.
- Communicate effectively with stakeholders at all levels to keep them informed of the program's progress and to obtain their buy-in on key decisions.
- Facilitate collaboration and coordination between the different teams involved in the LLM development and deployment process.
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