About the job

At g Tech’s Users and Products team (gUP), our mission is to help users get the most out of Google. We represent Google's users and many of our partners globally, sharing insights with the larger Google organization to enable exceptional customer and product experiences.

gUP builds innovative solutions that take user experience and engagement with Google to the next level, supporting users across products, countries, cultures, incomes, and identities. We advocate for users through partnerships with product areas at Google (and some Alphabet businesses), supporting Google’s consumer products ecosystem and enabling numerous launches for Google’s consumer products each year.

Customer and Partner Solutions Engineers (CPSE) are client-facing engineers who deliver customer solutions and technical consulting. You will anticipate, understand, and solve business challenges by building solutions. You develop prototypes for proofs of concept, advance the data infrastructure, and build web applications. Within the gUP Analytics (Data Science) team, you will be focused on developing technical solutions to enable analysts to innovate on business reporting solutions for gUP.

Google creates products and services that make the world a better place, and g Tech’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.

The US base salary range for this full-time position is $127,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Work with the Data Science team to design and implement internal applications to serve a wide range of business needs. Manage stakeholder expectations and communicate with internal teams to provide technical and business feedback as well as deliver technical solutions.

• Analyze and resolve technical problems around data infrastructure and access, reporting and tools. Interface closely with Analysts, Data Engineers, Vendors, and Support Operations teams to improve or develop new internal Google tools and data infrastructure.

• Support and improve data warehouses, dashboards, and reporting for product support data, and ensure we are adapting to the evolving requirements of data infrastructure. Identify opportunities to automate workflows across a wide variety of projects.

• Write and review technical documents.

• Write code and implement tools to improve troubleshooting efficiency and the end user experience.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent practical experience.

• 3 years of experience working with web technologies (e.g., HTML, CSS, JavaScript, or HTTP).

• 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).

• Experience in technical troubleshooting, and managing internal/external partners or customers.

Preferred qualifications

• 4 years of experience with software development, and with architectural components and system design.

• Experience with Machine Learning libraries and concepts.