Technical Program Manager, Product Quality and Reliability

Technical Program Manager, Product Quality and Reliability

Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, Mechanical Engineering, Software Engineering, related technical field, or equivalent practical experience. 8 years of experience in program management. 5 years of experience managing technical programs.

Preferred qualifications: 8 years of experience managing cross-functional or cross-team projects. Experience in product quality, machine learning, compute or storage, and data center operations. Experience tracking quality trends, managing product excursions, and identifying reliability escapes using data analysis.

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.

As a Technical Program Manager for Product Quality and Reliability, you will balance strategic engineering governance with direct quality execution across a complex artificial intelligence, machine learning, and global hardware infrastructure portfolio. In this role, you will define and manage program portfolios, establish a rigorous governance structure, and lead key partner communications to streamline executive decision-making and ensure optimal resource stewardship. By implementing predictable review cadences, you will expose and mitigate critical program dependencies while identifying change management opportunities that maximize cross-functional program velocity across multiple global teams.

On the technical execution side, you will partner closely with global server operations, hardware and software engineering, supply chain, and data center teams to program manage end-to-end quality for New Product Introductions. You will lead data analysis efforts to track quality trends, proactively identify reliability escapes, and drive in-depth search root-cause investigations. Through executing robust corrective and preventive actions, you will directly influence continuous improvement initiatives and deliver high-quality hardware that enables sustainable organizational growth.

Responsibilities

Manage program end-to-end quality for Artificial Intelligence and Machine Learning New Product Introductions by developing rigorous schedules and requirements in collaboration with product, supplier, and manufacturing quality engineering teams.

Define and manage a program portfolio and governance structure that drives executive decision-making, prioritizes resource stewardship, and establishes a visible cadence to mitigate program dependencies.

Partner with global server operations, engineering, supply chain, and data center operations to lead deep-dive root cause investigations, execute corrective actions, and manage excursion support.

Lead data analysis efforts to track quality trends, identify reliability escapes, and drive continuous improvement initiatives that increase program velocity across multiple global teams.

Implement high-standard communication frameworks across a portfolio of programs to report quality status, program reviews, and strategic updates to leadership and key stakeholders.