Technical Program Manager III, Machine Learning Infrastructure, Cloud AI Systems
Job Summary
Job Description
- 5+ years program management experience
- Experience leading machine learning programs
- Experience building distributed systems
- Excellent communication skills
- 5+ years managing cross-functional projects
- Experience launching products to production
- Machine Learning lifecycle management expertise
- Bonus
- Equity
- Benefits
3 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in a relevant field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience in leading machine learning programs.
- Experience in building, automating and developing distributed systems.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Experience in launching products into production.
- Experience in Machine Learning life-cycle management.
- Excellent communication skills, with a data driven problem solving approach towards challenges.
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.
Gemini Serving is on the central and critical path for several GenAI application products that are underway. Gemini Serving supports in the production of following - Workspace, Duet AI, Vertex AI, APIs, Google Labs, AI Studio, YouTube, Shopping, and others.
Gemini Serving's innovation is to become the canonical serving entry-point and backend for GenAI serving workflows across 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
- Enable the production of the latest Gemini and Agentic AI Innovations.
- Partner with Google Deep mind to understand the latest innovations and implications in Google Serving.
- Collaborate with internal Google teams to evaluate Responsible Artificial Intelligence, Serving, Recitation and other needs to enable them to onboard Gemini Serving infrastructure.
- Understand technical challenges from our users and work with the teams to prioritize and enable large scale adoption.
- Scope and define all work streams and engineering work, including long term initiatives across multiple product areas.
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