Senior Tech Lead Manager, Agentic Platform for Search Verticals

Google LLC
Mountain View, CA, United States
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$262,000.0
Working hours
Regular working hours
Languages
English

Tech stack

Bioinformatics Computer Engineering OAuth Software Engineering Systems Architecture Google Search Large Language Models Multi-Agent Systems Information Technology Machine Learning Operations

Job description

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally., The Search Verticals team is seeking an experienced Tech Lead Manager (TLM) to lead our teams working on user experiences powered by new Agentic LLM capabilities. In this role, you will develop a system that supports both long-duration tasks with iterative planning loops and low-latency transactional execution engines.

Additionally, you will grow and foster a team of software engineers and technical leads, set quarterly goals, balance platform investments against product integration deadlines, and ensure predictable execution.

If you’re looking to evolve Search into a more interactive, agentic-powered experience for billions of users, then this might be the right opportunity for you!

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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits, * Architect and scale resilient runtime engines capable of state persistence, long-context working memory, and multi-agent collaboration for complex, long-running loops.

  • Lead the development of low-latency action execution pipelines, encompassing zero-shot tool selection, OAuth/identity managing, and API integration for short-running actions.
  • Provide technical contributions and systems design architecture review outside of standard people management responsibilities to resolve ambiguous engineering problems.
  • Establish verification systems, offline/online evaluation suites, and performance metrics to ensure agent actions are safe, accurate, and non-destructive.
  • Hire, mentor, and manage a team of Software Engineers and Tech Leads, driving resource allocation, quarterly targets, and cross-functional alignment.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Requirements

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

  • 8 years of experience with software development, including making direct technical contributions to systems architecture.
  • 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure.
  • 5 years of experience in a people management or team leadership role.
  • Experience in agentic AI systems and platforms., * Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 5 years of experience working in a complex, matrixed organization.
  • 3 years of people management experience leading software engineering teams.
  • Experience developing zero-shot tool selection, long-context working memory systems, and multi-step autonomous workflows.
  • Experience building end-user applications on LLM platforms utilizing multi-agent orchestration frameworks.

Apply for this position

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:25 min

Evaluating Google search advantages for commercial and local queries

Eric Enge · Coffee With Developers

1:51 min

Speaker background in marketing and search metrics

Klaus-M. Schremser Klaus-M. Schremser · World Congress 2026 Europe

2:49 min

Adopting OAuth best practices and removing outdated grants

Alexander Schwartz Alexander Schwartz · World Congress 2026 Europe

49 sec

Fake employee tracking tools and Google search headline rewrites

Chris Heilmann +3 · LIVE

1:39 min

Automating traditional search workflows via agentic recruitment platforms

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

1:34 min

Analyzing vulnerabilities in standard OAuth 2.0 authorization flows

Alexander Schwartz Alexander Schwartz · World Congress 2026 Europe

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