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Google

Senior Staff Tech Lead Manager, Ads Serving Infrastructure

Mountain View, CA, United States
New York, NY, United States

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Job details

Posting language: English

Original job description

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

Minimum qualifications:

Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
8 years of experience programming in C++.
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.

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.

As a part of the Search Ads Serving team, you will build the infrastructure that powers ads on all Search queries, including queries to Search Ads partners and owned-and-operated properties (Maps, YouTube Search, Discovery Feed, and Shopping). You will join engineers across feature teams to develop this system as it evolves to support launches, providing APIs, testing frameworks, and tools to enable developer productivity and operations. As Search pivots towards Artificial Intelligence (AI) first experiences through AI Overview and AI Mode, your focus will be to evolve the Ads Serving stack and prepare it for next-generation AI and Large Language Model (LLM) capabilities. Google Ads is at the forefront of AI innovation, applying 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 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: $262000 - $364000 (USD) + 25% 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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

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Skills

Computer science
C++
Distributed computing
Data storage
Natural language processing
UI design
Leadership
Google Ads
Artificial intelligence
Machine learning
Research

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