Jobs

Practice Customer Engineer, Cloud AI Platform, Google Cloud
placeBengaluru, Karnataka, India; Gurugram, Haryana, India
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Wellness benefits
•Top Tier compensation with equity
•Flexible PTO policy
•Remote work flexibility
•Parental leave program
•Health, dental, and vision coverage
Required Skills
Apache Spark
SQL
Airflow
About the job
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
In this role, you will partner with Technical Business teams to differentiate Google Cloud to the customers. You will serve as the technical expert on integrating Generative Artificial Intelligence (AI) into enterprise environments, moving beyond simple chat interfaces to architecting secure and data connected solutions. You will engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will blend market knowledge and technical engagement to prove the value of the Google Cloud AI portfolio.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.
Responsibilities
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Drive the technical win for workloads within Gemini enterprise to ensure adoption, supporting the business cycle from technical evaluation through customer ramp. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
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Combine sales strategies with development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
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Provide technical consultation to customers on enterprise AI integration patterns, acting as a technical advisor and building customer relationships.
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Work with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. Work within product and engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues.
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Travel to customer sites, conferences, and other related events as needed, acting as a public advocate for Google Cloud.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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10 years of experience with cloud native architecture in a customer-facing or support role.
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Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like RAG, Text-to-SQL, and semantic search.
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Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.
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Experience with search systems including retrieval, ranking, and search quality tuning.
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Experience with presenting to technical stakeholders and executive leaders.
Preferred qualifications
- Experience with i PaaS, Application Programming Interface (API) gateways, or Enterprise Service Buses (ESBs) in a cloud environment.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
3.7
25 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
68%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
63,375 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total / year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
Interview Experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer Rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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