Tech Lead Manager, Search Ads Serving Infrastructure
Google· Internet & Cloud Services· Oct 14, 2026 · 13d ago
Mountain View, CA, USA · New York, NY, USA
In office
Full-time
Lead
$141K–$219K est.
8+ years exp
Job description
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.
Search Ads Serving is the infrastructure and quality machinery that powers ads on all Google Search queries, including queries to Search Ads partners and Google owned-and-operated properties (Google Maps, YouTube Search, Discovery Feed, Google Shopping property). Thousands of engineers in dozens of feature and quality teams develop 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 at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .
• Play a leading role in a reliable infrastructure that drives 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 system at scale.
• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.
Minimum qualifications:
• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.
Preferred qualifications:
• Experience with automation systems and related infrastructure.
• Expertise in large systems (indexing, serving, performance tuning).
• Strong math background.
• Strong collaboration skills within a large team and across PAs..
• Good communication skills.
Application prep
Use the role’s language and application details while tailoring your materials.
Keywords to mirror
aillmmachine learning
- Platform
- Effort
- medium