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Salary
≈ $103k – $210k per year (Estimated)
Location
In office (Boulder)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 8, 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

gTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.

The Chrome Scaled solutions team is part of the gTech Chrome and Web Ecosystem team supporting Chrome's goal of healthy, vibrant web in this increasingly agentic world. We're a group of technical experts managing the cross-product, incubation, activation and scale programs that are key to advancing the GTM goals of Chrome. By working with partners and developers, we aim to arm the ecosystem with the tools, incentives and products they need to succeed in the future of the web ecosystem.

As a Solutions Engineer for gTech Users and Products (gUP) Chrome and Web Ecosystem team, you will be enabling Chrome to be the best browser for the Agentic AI era driving technical solutions, automation, data insights and technical needs for efficient operations across new and emerging product areas like built-in AI, agentic web, identity and payments and help influence the trajectory of the entire web ecosystem by representing the ecosystem.

In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more). Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $127000 - $182000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Serve as technical subject matter expert (SME) to operationalize and evaluate AI-assisted onboarding, troubleshooting and scaling workflows for Chrome PA and ecosystem needs.
  • Serve as technical expert in critical feedback loop bringing in insights from partner, developer and user feedback channels alongside product metrics trends in collaboration with Product and Engineering to influence Chrome PA strategy and roadmap.
  • Drive knowledge dissemination, playbooks, best practices and guide engineering and product leaders as they plan their digital strategy, with clear implementation plans as it pertains to the web.

Qualifications

Minimum qualifications:

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
  • Experience troubleshooting technical issues for internal/external partners or customers.

Preferred qualifications:

  • Master’s degree in Engineering, Computer Science, Business, or a related field.
  • Experience in an investigative role such as business intelligence, data analytics, or statistics.
  • Experience working with database technologies (e.g., SQL, NoSQL).
  • Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.
  • Experience using Machine Learning and building solutions.
  • Experience working with systems (e.g., Linux, Unix, Windows).
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