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Staff Customer and Partner Solutions Engineer, gTech

Google • Operating Systems • Streaming & OTT Platforms • Bachelor's Degree • Python • JavaScript • TypeScript • SQL • C++ • 10 days ago

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Salary

≈ $123k – $240k per year (Estimated)

Location

In office (Chicago)

Seniority

Staff · 9+ years exp

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 5, 2026. Google scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Google

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.

google.com • HQ: Mountain View, United States • Digital Media • Marketing Analytics & Attribution • Streaming & OTT Platforms • Consumer Internet Groups • Foundation Models • Operating Systems • Cloud Platforms (IaaS & PaaS) • Video & Photo Sharing • Advertising • Search Engines • 11-50 employees • Est. 1998

Tech stack of Google

Backed by Y Combinator, Lightspeed Venture Partners, Union Square Ventures

About the job

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $183000 - $265000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Develop solutions as a leader, providing consulting services to our partners, building lasting relationships, and being aware of the client's needs.
Guide partners in their day-to-day challenges by being the subject matter expert, delivering innovative and scalable solutions, and troubleshooting their technical issues.
Drive efforts to propose, design, create, and present prototypes, demos, and proofs-of-concept to a wide variety of audiences, from engineers to marketing professionals.
Oversee efforts to perform implementation reviews and advocate for product features, and provide partner feedback to internal cross-functional teams.
Serve as a leader in delivering business intelligence and leveraging internal and external data sources to provide data insights to drive decision-making.

Qualifications

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
8 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
Experience troubleshooting technical issues for internal/external partners or customers.
Experience working with distributed systems.

Preferred qualifications:

Master’s degree in Engineering, Computer Science, Business, or a related field.
9 years of experience in an analytical role such as business intelligence, data analytics, or statistics.
9 years of experience working with customer-side web technologies (e.g., HTTP, HTML, JavaScript, XML, TypeScript) and database technologies (e.g., SQL, NoSQL).
9 years of experience with cloud technologies, such as architecting, developing, or maintaining cloud solutions in virtualized environments.
9 years of experience using Machine Learning and building solutions.
9 years of experience working with systems (e.g., Linux, Unix).

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