
Organizing the world's information and making it universally accessible.
Principal Engineer, Geo Makers
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Architect technical alignment across Geo, Cloud, and Google Deep Mind tech stacks to ensure the infrastructure remains indispensable to developers and enterprises building next-generation AI products.
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Work on technical challenges in agentic workflows, AI grounding, and geospatial analytics, integrating Google’s foundational models – such as Gemini and Gen Media.
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Serve as a cornerstone of our senior IC community, fostering a culture of mentorship and strategic influence that elevates technical excellence across Google.
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Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline, or equivalent practical experience.
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15 years of experience working as a technical software engineering leader.
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Experience with technical innovation within cross-functional engineering environments.
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5 years of experience in data, analytics, or AI/ML products, services, and solutions for cloud.
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Experience in deploying products and services that conform to the standards of safety, privacy, and regulatory requirements.
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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
Mid/L4
Mid/L4 · Accessibility Analyst
1 reports
$214,500
total per year
Base
$165,000
Stock
-
Bonus
-
$214,500
$214,500
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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