Senior Tech Lead Manager, Agentic Platform for Search Verticals

Google Inc.; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google Mountain View seeks a Senior Tech Lead Manager for the Agentic Platform for Search Verticals. You will lead teams delivering agentic AI features with long-duration tasks and iterative planning, while growing engineering leadership and balancing product deadlines.

You will drive architectural decisions, mentor engineers, and oversee cross‑functional execution across sites internationally, shaping the next generation of search experiences.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering or related field, or equivalent practical experience.
• 8 years of software development with direct contributions to system architecture.
• 7 years leading technical project strategy and ML infrastructure.
• 5 years in a people management or team leadership role.
• Experience with agentic AI systems and platforms.

Responsibilities

• Lead teams on agentic LLM capabilities and user experiences at scale.
• Set quarterly goals, balance platform investments, and align with product deadlines.
• Grow and mentor software engineers and tech leads across multiple teams.
• Contribute to system design and architecture beyond people management.
• Drive cross-functional collaboration across sites and functions.

Skills

Outcomes ownership

Problem solving

Stakeholder influence

Education

Bachelor's degree in EE/CE/CS or related field

Tools

LLM platforms

Multi-agent orchestration frameworks

Job description

Senior Tech Lead Manager, Agentic Platform for Search Verticals

corporate_fare Google place Mountain View, CA, USA

Advanced

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.

Preferred qualifications:

• 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.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. 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. Learn more about benefits at Google .

• 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.

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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

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.