Technical Program Manager Lead, Google Search Observability and Reliability

Google•Chicago, IL

9d•$192,000 - $278,000

About The Position

Google's projects span the globe and require managers to maintain a broad view while addressing daily engineering challenges. Technical Program Managers lead complex, multidisciplinary engineering projects, plan requirements with internal customers, manage project schedules and risks, and communicate with stakeholders ranging from executives to engineers. This role manages Engineering-specific programs and teams. As a Technical Program Management Lead for Google Search Observability and Reliability, the role leads a team of TPMs managing strategic programs across large-scale, mission-critical infrastructure. The team works to keep Google Search infrastructure reliable, observable, and fast through rapid AI transitions. The lead partners with Engineering Directors to define multi-quarter roadmaps and resolve distributed-systems dependencies, and drives reliability programs involving AI serving architectures, automated error detection, telemetry frameworks, and safe release pipelines. The role also mentors TPMs, aligns engineering and product stakeholders, and uses data-driven automation to scale operations.

Requirements

Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience in program management.
5 years of experience in a leadership role with direct reports.

Nice To Haves

8 years of experience managing cross-functional or team projects.
Experience with cross-stack systems, servers, and managing resulting complexities and dependencies.
Experience with complex systems infrastructure and building or using automation tools for program management.
Experience managing multiple, time-sensitive projects simultaneously in environments with ambiguity and moving variables.

Responsibilities

Lead, mentor, and allocate a team of Technical Program Managers supporting Search reliability, testing architectures, and observability initiatives.
Partner with Engineering Directors to drive strategic portfolio roadmaps and resolve complex architectural dependencies.
Drive business-critical reliability programs, including next-generation AI serving infrastructure, automated error detection, and continuous safe release mechanisms.
Manage external dependencies, cross-functional alignment, and executive reviews across Engineering, Product, and partner teams to achieve platform and capacity milestones.
Establish scalable program governance, review cadences, and automated data-driven tooling to accelerate delivery and optimize resource stewardship.