Technical Lead Manager, Search Ads Serving Infrastructure

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Search Ads Serving is the infrastructure and quality machinery that powers ads on all Google Search queries, including queries to Search Ads partners (e.g., eBay) and Google owned-and-operated properties. Thousands of engineers in dozens of feature and quality teams develop on this system.

The system is constantly evolving to support numerous launches, and provides APIs, testing frameworks and tools/processes to allow high developer productivity and operational excellence.

As Search is pivoting towards AI first experiences through AI Overview and AI Mode, the current focus is to evolve the Ads Serving stack and prepare it for next-gen AI/LLM capabilities.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

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

US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Play a leading role in a highly reliable infrastructure that's responsible for business growth.
• Collaborate across Ads teams to understand client teams' needs, identify opportunities, and deliver impact.
• Identify performance optimization opportunities and deliver latency/resource savings.
• Build automation systems and related tools to operate this large and critical system at scale.
• Focus on operational efficiency and excellence which requires technical experience with distributed systems, production infrastructure, and a history of delivering impact in a changing organization.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience programming in C++, Java, Go or Python.
• 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 5 years of experience with design and architecture; and testing/launching software products.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in an organization involving cross-functional, or cross-business projects.
• Expertise in large systems indexing, serving, performance tuning and with automation systems and related infrastructure.