Technical Program Manager III, Capacity Planning, Google Ads

Google • Mountain View, CA

7h

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.

Our team covers the App Ads, Google Display Ads and Display technical
Infrastructure teams. Our team is responsible for driving predictable programs
for Display/Apps, ensuring low-friction execution, efficiently managing
resources and investments, and helping teams plan for the future.

Google Ads is helping power the open internet with the best technology that
connects and creates value for people, publishers, advertisers, and Google.
We’re made up of multiple teams, building Google’s Advertising products
including search, display, shopping, travel and video advertising, as well as
analytics. Our teams create trusted experiences between people and businesses
with useful ads. We help grow businesses of all sizes from small businesses, to
large brands, to YouTube creators, with effective advertiser tools that deliver
measurable results. We also enable Google to engage with customers at scale.

Requirements

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience in capacity planning.
• Experience with machine learning.

Nice To Haves

• 5 years of experience managing cross-functional or cross-team projects.
• Experience with Display Ads.
• Experience with accelerators and auxiliary infrastructure.

Responsibilities

• Define and drive the annual resource planning process including Google Compute Units (GCU), Tensor Processing Units (TPU), and storage logs for the organization.
• Partner closely with key stakeholders including Engineering, Product Area Resource Management, Capital Engineering, Finance, and System Infrastructure Site Reliability Engineers (SREs) in technical discussions regarding resource planning for Google Compute Units (GCU) and Tensor Processing Units (TPU).
• Manage communications and escalations related to Google Compute Unit (GCU) and Machine Learning (ML) resource allocation, performance, and shifts for product teams and other partners.
• Drive strategies and execution for infrastructure programs across Display Infrastructure teams and partners.
• Drive executive reviews for monthly cost analysis of resources on the Ads Profit and Loss (P&L) statement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level