Senior Technical Program Manager, Machine Learning Deployment Acceleration
About The Position
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. As a Senior Technical Program Manager for Machine Learning Deployment Acceleration, you will be accelerating Google's machine learning infrastructure deployment. You will improve processes, systems, and communications for execution across teams like Engineering, Operations, and Finance. You will drive executive and customer-facing communications, providing technical direction, and facilitating decision-making to achieve results. You will have experience in Hardware/Software product launches, enterprise applications, and customer engagement. You will lead and influence executives and manage projects in a matrixed organization. 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 team 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.
Requirements
- Bachelor's degree in a a technical field, or equivalent practical experience.
- 10 years of experience with product management, technical program management, or engineering.
- 5 years of experience with Machine Learning (ML) design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Nice To Haves
- 15 years of experience with product management, technical program management, or engineering.
- 10 years of experience managing cross-functional or cross-team projects.
- Experience with software and hardware product launches and new product introductions.
- Experience launching and managing enterprise software applications and master data systems.
- Ability to develop executive ready communications and influence cross-functional leadership including stakeholders.
Responsibilities
- Be a thought leader within Google and industry on the subject-matter domain of the respective organization.
- Establish a schedule for portfolio reviews, decision making, prioritization, and resource management, whereby improvements and the impact can be felt organization wide.
- Drive program performance gains correlated to execution velocity.
- Be a change advocate responsible for initiating and leading multiple organizations through pivots needed to address shifts in business trends and priorities.
- Lead planning framework for a program portfolio including direct influence over resourcing decisions, planning cadence, and planning stakeholders.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
