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Open nowFirst seen 44 hours ago

Technical Program Manager Lead, Google Search Observability and Reliability

Google3,533 open roles

Where
Mountain View, CA, USA; Chicago, IL, USA
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Your applicationOpen nowTechnical Program Manager Lead, Google Search Observability and ReliabilityGoogle · Mountain View, CA, USA; Chicago, IL, USA

  1. YouYes, apply to this one.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 27 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 44 hours ago

Google median: 27 days open

The posting

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Chicago, IL, USA.

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • 5 years of experience in leadership role with/without direct reports.

Preferred qualifications:

  • 8 years of experience managing cross-functional/team projects.
  • Experience with cross-stack systems, servers, and the resulting complexities/dependencies.
  • Experience with complex systems infrastructure.
  • Familiarity using/building AI-first automation tools for program management.

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 various Engineering-specific programs and teams.

As a Technical Program Management (TPM) Lead for Google Search Observability and Reliability, you will lead a team of TPMs managing strategic programs across large-scale, mission-critical infrastructure. Google Search manages billions of queries daily; our team ensures Search infrastructure remains exceptionally reliable, highly observable, and fast during rapid AI transitions.

In this role, you will partner with Engineering Directors across an organization of engineers to define multi-quarter roadmaps and resolve complex distributed systems dependencies. You will drive core reliability programs, including next-generation AI serving architectures, automated error detection, telemetry frameworks, and continuous safe release pipelines.

Additionally, you will mentor and grow a team of TPMs, align cross-functional engineering and product stakeholders, and leverage data-driven automation to scale operations.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Lead, mentor, and allocate a team of Technical Program Managers supporting vital Search reliability, testing architectures, and observability initiatives.
  • Partner directly with Engineering Directors across an organization 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.
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