Technical Solutions Engineering Manager, AI/ML, Google Cloudor
Google · Bengaluru, Karnataka, India
- On site
- Full-time
- ₹2,500,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Lead AI/ML technical solutions engineers at Google Cloud.
- Troubleshoot complex AI/ML issues on Google Cloud.
- Collaborate with engineering and product teams.
- Drive product stability and performance improvements.
- Advocate for customer needs and product enhancements.
About the role
About Google Cloud
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. 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.About the Role
As a Technical Solutions Engineering Manager, you will lead a team specializing in AI/ML product support for Google Cloud. Your team will troubleshoot complex technical issues, improve product reliability, and collaborate with Engineering and Product teams to drive enhancements. You will ensure operational excellence, develop team expertise, and contribute to AI/ML support strategy.Responsibilities
- Identify opportunities and build solutions to improve support or empower customers to solve issues by using self-service tools and documentation.
- Lead a team of engineers providing technical support for AI/ML products on Google Cloud.
- Drive issue resolution, focusing on technical troubleshooting and root cause analysis.
- Collaborate with Engineering and Product teams to improve AI/ML product stability and performance.
- Identify and escalate key product issues and trends based on support cases.
Minimum Qualifications
- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 13 years of experience troubleshooting and advocating for customers' needs, and triaging technical issues.
- 5 years of experience in people management.
- Experience with AI/ML models, frameworks, and cloud-based deployments
Preferred Qualifications
- 8 years of experience in technical consulting on supporting enterprise customers with service-level objective and service-level agreement requirements.
- 3 year of experience managing a technical, customer-facing team.
- Experience with managing hosted services/SaaS including knowledge of one or more of the following programming/scripting languages: Java, C, C++, .NET, Go, Python, shell, Perl, JavaScript.
- Experience in troubleshooting and supporting applications such as web services, data storage, databases, data pipelines, computing, commerce engines, with Linux/Unix operating systems.
- Experience managing Enterprise customer relationships and advocating for issues or needs.
Equal Opportunity Statement
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .Key skills/competency
- Technical Solutions Engineering Manager
- AI/ML
- Google Cloud
- People Management
- Customer Support
- Technical Consulting
- SaaS Management
- Troubleshooting
- Product Development
- Enterprise Relationships
Skills & topics
- Technical Solutions Engineering Manager
- AI/ML
- Google Cloud
- Engineering Management
- Customer Support
- Technical Consulting
- SaaS
- Troubleshooting
- Cloud Computing
- Leadership
How to get hired
- Tailor your resume: Highlight your 13+ years of technical experience, 5+ years of management, and AI/ML expertise for this Technical Solutions Engineering Manager role.
- Showcase leadership: Emphasize your experience managing technical, customer-facing teams and driving issue resolution in your application.
- Demonstrate technical depth: Detail your proficiency with AI/ML models, cloud deployments, and troubleshooting various applications and operating systems.
- Research Google Cloud: Understand their mission, products, and the impact of AI/ML solutions to align your qualifications with their needs.
- Prepare for interviews: Expect questions on technical problem-solving, team leadership, customer advocacy, and AI/ML specific challenges.
Technical preparation
Master AI/ML concepts and Google Cloud services.,Practice troubleshooting complex technical issues.,Familiarize with Python, Java, C++, Go, JavaScript.,Understand cloud-based deployments and SaaS.
Behavioral questions
Describe a time you led a team through a crisis.,How do you handle conflicting priorities with stakeholders?,Share an experience advocating for customer needs.,How do you foster team expertise and collaboration?
Frequently asked questions
- What are the preferred working locations for the Technical Solutions Engineering Manager, AI/ML role at Google?
- The preferred working locations for this role are Bengaluru, Karnataka, India, and Hyderabad, Telangana, India. Candidates will have the opportunity to share their preferred location during the application process.
- What are the minimum educational requirements for the Technical Solutions Engineering Manager position at Google Cloud?
- A Bachelor’s degree in Science, Technology, Engineering, or Mathematics, or equivalent practical experience, is the minimum educational requirement for this role.
- How much experience is required for the people management aspect of the Technical Solutions Engineering Manager job?
- The role requires a minimum of 5 years of experience in people management. Preferred qualifications also mention 3 years of experience managing a technical, customer-facing team.
- What specific AI/ML experience is needed for this Google Cloud engineering management role?
- Candidates should have experience with AI/ML models, frameworks, and cloud-based deployments. This includes troubleshooting and supporting applications related to data storage, pipelines, and computing.
- What kind of technical skills are preferred for the Technical Solutions Engineering Manager role at Google?
- Preferred technical skills include experience with hosted services/SaaS, knowledge of programming languages like Java, C++, Python, Go, and experience troubleshooting applications on Linux/Unix operating systems.
- How does Google Cloud support equal opportunity for applicants?
- Google is committed to equal employment opportunity and is an affirmative action employer. They consider qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status, and also consider criminal histories consistent with legal requirements.
- What is the primary focus of the Technical Solutions Engineering Manager role at Google Cloud?
- The primary focus is to lead a team that provides technical support for AI/ML products on Google Cloud, troubleshooting complex issues, improving product reliability, and collaborating with product and engineering teams.
- Does Google Cloud offer accommodations for applicants with disabilities?