
Organizing the world's information and making it universally accessible.
Cloud Consultant, AI/ML, Professional Services, Google Cloud
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Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of Cloud AI solutions, be a trusted advisor to decision makers throughout the engagement.
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Design solutions and manage the development and deployment of cloud based machine learning solutions according to complex customer requirements and implementation best practices.
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Work with internal specialists, Product, and Development teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
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Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
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Travel 15% of the time for client engagements.
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Bachelor's degree in Computer Science, or equivalent practical experience.
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5 years of experience delivering technical solutions, product management, or similar.
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Experience in one or more discipline areas such as training custom AI/ML models, building agentic solutions, or MLOperations..
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Experience with technical client service (e.g. consulting).
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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
10 reviews
4.5
10 reviews
Work-life balance
3.2
Compensation
4.3
Culture
4.1
Career
4.2
Management
3.8
82%
Recommend to a friend
Pros
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
Cons
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
Salary Ranges
57,503 data points
Junior/L3
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L3
0 reports
$176,704
total per 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
Latest updates
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