Technical Program Manager III, Machine Learning Infrastructure

YouTube is a platform where everyone can share their story, explore what they love, and connect with others through video content.
$142,000 - $211,000
Machine Learning
Mid-Level Software Engineer
In-Person
5+ years of experience
AI

Description For Technical Program Manager III, Machine Learning Infrastructure

YouTube Resource Management is seeking a Technical Program Manager III to lead their Machine Learning Infrastructure initiatives. This role sits at the intersection of technical leadership and resource management, where you'll be responsible for planning and provisioning computing resources while maintaining cost efficiency at scale. You'll work with developers, site reliability engineers, and infrastructure teams to ensure optimal resource availability and management.

The position offers an exciting opportunity to impact YouTube's infrastructure decisions, working with cutting-edge technology while managing cross-functional programs. You'll be responsible for forecasting and managing data-center growth, enhancing provisioning processes, and driving efficiency efforts. The role requires both technical expertise and program management skills, making it perfect for someone who enjoys bridging technical and business aspects.

At YouTube, the culture emphasizes inclusion and diversity, aiming to build products that serve everyone globally. The company believes in giving everyone a voice and creating a platform where stories can be shared freely. You'll be part of a team that moves at the speed of culture, working with state-of-the-art machine learning infrastructure.

The role offers competitive compensation including base salary, bonus, equity, and comprehensive benefits. You'll have the opportunity to work from either Mountain View or San Bruno, CA, collaborating with talented teams across YouTube and Google. This position is perfect for someone who wants to make a significant impact on how YouTube scales its infrastructure while maintaining efficiency and cost-effectiveness.

Last updated 4 months ago

Responsibilities For Technical Program Manager III, Machine Learning Infrastructure

  • Lead projects by working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate with cross-functional partners
  • Be a subject-matter-expert on technical and financial trade-offs in data-center resource management
  • Partner with YouTube Resource Management engineering to design and build tooling to help scale the planning process
  • Ideate efficiency opportunities to scale resources sublinear to demand growth
  • Manage reserves policy and processes to meet annual goals

Requirements For Technical Program Manager III, Machine Learning Infrastructure

Python
Java
  • Bachelor's degree in a technical field, or equivalent practical experience
  • 5 years of experience in program management
  • Experience working with data analytics tools and reporting platforms
  • Experience with Machine Learning Infrastructure

Benefits For Technical Program Manager III, Machine Learning Infrastructure

  • bonus
  • equity
  • benefits

Interested in this job?

Jobs Related To YouTube Technical Program Manager III, Machine Learning Infrastructure

Product Manager II, Trust and Safety, YouTube

Lead Trust and Safety product initiatives at YouTube, developing ML-based solutions to protect creators and viewers while ensuring platform integrity.

Product Manager I, YouTube Ads Generative AI Creatives

Product Manager position at YouTube focusing on Generative AI applications in advertising creatives, requiring 3+ years of product management experience and AI expertise.

Software Engineer III, AI/ML, YouTube

ML Software Engineer role at YouTube focusing on AI/ML infrastructure and development.

Product Manager II, Trust and Safety, YouTube

Product Manager II position at YouTube focusing on Trust and Safety, leveraging ML to protect platform users while offering competitive compensation and benefits.

Product Manager, YouTube Ads Marketplace

Lead product strategy and development for YouTube Ads Marketplace, focusing on ML-powered bidding systems and marketplace optimization.