As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. ... more details
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $221,000-$314,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.
Provide direction to build and maintain strategic relationships with executive cross-functional key stakeholders in customer or partner organizations to deliver or manage quality technical solutions and services.
Leverage domain, industry expertise, and deep understanding of the user needs to strategically influence major product decisions and improve the experience and adoption of products and technologies.
Set the strategy for scaling existing or creating repeatable Generative AI solutions (e.g., best practices recommendations, tutorials, blog articles, sample code) and ensure effective documentation of repeatable solutions.
Lead collaborations with cross-product area stakeholders in their respective process lifecycle to provide technical guidance or identify possible existing or new technical solution offerings to help shape outcomes.
Build scalable reusable solutions accelerators to enable Google Cloud Platform (GCP) customers to deploy Generative AI solutions easily and with high accuracy.
Minimum qualifications:
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience in technical project management, stakeholder management, professional services, solution engineering or technical consulting, and 4 years of experience in technical leadership.
2 years of experience writing code in one or more programming languages.
1 year of experience in technical troubleshooting.
Experience building Generative AI solutions.
Preferred qualifications:
Master’s degree in Engineering, Computer Science, Business, or a related field.
3 years of experience in a leadership role.
2 years of experience building deep learning apps.
Experience scaling Generative AI apps on the Vertex AI platform or a comparable platform.
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