Partner Solutions Engineer, gTech Users and Products

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).
  
• 3 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.

Preferred qualifications:

• Master’s degree in Engineering, Computer Science, Business, or a related field.
  
• 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).
  
• Experience in an investigative role such as business intelligence, data analytics, or statistics.

About the job

Google Search is only as good as the content it can see. A healthy Google depends on a growing corpus of information on the web as well as licensed content and elsewhere. Our team's mission is to cultivate a growing ecosystem to meet our users' evolving content needs. We do this by bringing the best content to Google Search and Discover and to train our latest DeepMind Gen AI models working closely with top UGC platforms, web publishers, content creators and licensed media partners.

If you want to be a part of evolving Google Search experience to meet fast changing user needs, this may be a role for you. We are looking for candidates who love to be at the intersection of business and technical with great investigative and communication skills and enjoy being the user/partner advocating their needs with cross-functional teams within Google.

As a Search Ecosystem Partner Solution Engineer, you will be responsible for supporting integrations with our largest external partners or internal clients. You will collaborate with teams in Search and DeepMind and Core Engineering, Partnerships, and Product Management to take emerging product solutions from incubation to scale. You will balance business and partner needs with product/process constraints, develop innovative scaling solutions, build analytics and data insights, and act as a partner and consultant to those you are working with. You will also be able to influence product strategy and prioritize projects and resources.

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.

The US base salary range for this full-time position is $123,000-$176,000 + 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

• Provide one to one technical onboarding, debugging and troubleshooting support for partners.
• Work with cross-functional (including Engineering, Product Management, Business Development) and gTech-internal stakeholders to facilitate Search product launches requiring partner/platform integrations.
• Collaborate with internal and external stakeholders to define and prioritize product features required to improve the partner onboarding experience and enable onboarding at scale. Partner with product engineering teams to accelerate the development and troubleshooting of APIs/workflows to drive business impact.
• Contribute and improve best practices around authoring workflows to increase efficiency, re-usability, and scaling via tooling, automation, and technical documentation.
• Improve product maturity from incubation to activation to scale working with gUP product operations and horizontal teams to drive operational efficiencies through vendor operations as well as agentic AI workflows and automation.