Technical Program Manager III, Field Quality, Google Pixel

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience in sustaining engineering or failure analysis for consumer electronics or hardware products.
• Experience in a technical quality role (e.g., reliability, failure analysis, field quality) for hardware products in consumer electronics, automotive, or medical device sectors.

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• Experience in electrical engineering, including debugging circuit boards, board probing, or analyzing failing power rails.
• Experience managing strategic, complex technical programs with cross-functional or cross-organizational impact.
• Experience delivering clear program communications and executive-level presentations on complex hardware topics.
• Experience navigating ambiguity and managing programs in fast-paced or unstructured hardware development environments.

About the job:

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

As a Technical Program Manager on the Pixel Field Quality team, you will act as the sustaining program advocate for our flagship programs, focusing on phones, watches, and buds. In this role, you will monitor field quality metrics to track device performance and analyze changes in field data. You will manage failure analysis investigations alongside the Early Failure Analysis (EFFA) lab to diagnose hardware issues, evaluate return rates, and ensure the successful deployment of technical fixes. You will collaborate cross-functionally with early engagement, design for quality, architecture, customer support, and manufacturing teams to manage program schedules and conduct return-on-investment (ROI) analyses. This is a highly dynamic position where you will navigate ambiguity to drive device quality, repair strategies, and warranty programs.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Responsibilities:

• Monitor and analyze field quality metrics and performance trends for consumer products to identify and address return rate deviations.
• Lead failure analysis within the early failure analysis (EFFA) lab to diagnose board-level hardware defects, investigate failing electrical power rails, and determine root causes.
• Collaborate cross-functionally with early engagement, design for quality, architecture, customer support, manufacturing, and supply chain teams to ensure technical fixes are successfully implemented.
• Manage program communications and report executive-level updates to stakeholders, translating complex failure modes into actionable technical strategies.
• Scope and drive warranty, repair, and extended warranty programs, conducting return-on-investment (ROI) analyses to support business decisions.