Minimum qualifications:
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience in technical project management, stakeholder management, professional services, solution engineering or technical consulting, and 1 year of experience in technical leadership.
- 1 year of experience in technical troubleshooting and writing code in one or more programming languages.
- Experience working with AI Platforms or AI Algorithms.
- Master's degree in Engineering, Computer Science, or related technical fields.
- Experience with community involvement, volunteering, mentorship or other work that shows commitment to betterment of others.
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About the job
In this role, you will work with our product and engineering teams.
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 $142,000-$211,000 + 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 .
Responsibilities
- Apply data-driven management skills and be able to work in a rapidly changing environment.
- Collaborate cross-functionallywith Google Cloud AI teams (e.g., product, engineering, sales, professional services, learning, etc.).
- Solve customer use cases using Cloud AI conversational products to drive broad customer adoption, creates reusable assets (e.g., code, toolkit, training), and deliver training for new product features or solutions for customers, partners, and field teams.
- Discuss functional, technical, and basic commercial topicswith customer stakeholders(e.g., developers, line managers)and empathize, shape, and influence them.
- Work with customer stakeholders as a trusted advisor and provide expert guidance on critical solution decisions.