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In office (Mountain View)
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Staff · 8+ years exp
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Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 10, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

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.

Our team's mission is to accelerate vertical journeys with great ads that drive exceptional industry value and power Google’s growth.

Vertical user journeys represent a large percentage of search usage, and established projects in Travel and Vehicles have proven that, with a vertical-focused approach, we can create compelling experiences that delight users and advertisers, and deliver substantial business value. Together with Search partner teams, Google is making major bets in many verticals - providing users with rich relevant results, unique insights, and real time info about offers, pricing, and availability, and developing rich engaging ads that feel like answers and help users discover great offers and businesses in each vertical.

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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Set the overall goal and roadmap for Vertical Ads on Maps in the coming years.
  • Provide technical guidance for the team of engineers working on Vertical Ads on Maps.
  • Develop deep technical knowledge of the system, contributing to designs and direction for the business.
  • Collaborate with the delivery of objectives and key results (OKRs) and roadmaps with Product Managers.
  • Collaborate closely with teams across Ads product area and Geo.

Qualifications

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience with design and architecture; and testing/launching software products.
  • Experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
  • Experience with API design and development for large-scale distributed systems.
  • Experience working with algorithms, data structures, analysis, and software design.

Preferred qualifications:

  • 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.
  • Experience bootstrapping a new team.
  • Experience providing technical guidance to a team of 20 or more engineers working on multiple areas concurrently.
  • Experience designing and implementing distributed systems.
  • Programming experience in Java or C++.
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