Senior Tech Lead Manager, Agentic Platform for Search Verticals

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.

Responsibilities

• 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.

Minimum qualifications:

• 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.
  
  

In most instances, this position requires in-person interviews as part of the hiring process.