Jobs
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Own the technical goal and end-to-end architecture for Artificial Intelligence solutions, and help shape the direction for next-generation Artificial Intelligence efforts.
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Drive efforts from initial ideation, experimentation, and prototyping to build robust, scalable production systems, including close collaboration with partners for integration.
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Lead the team in building necessary evaluations and infrastructure to deliver high-quality solutions, driving end-to-end quality and development for new Critical User Journeys, and analyzing experiments.
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Build, mentor, and scale the team of engineers, promoting a culture of excellence, rapid prototyping, and high-quality execution.
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Partner with the product team and stakeholders to convert Critical User Journeys into concrete technical requirements, and build collaborations across partner teams to deliver on high-impact solutions.
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Bachelor’s degree or equivalent practical experience.
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8 years of experience in software development.
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3 years of experience in a technical leadership role.
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2 years of experience in a people management or team leadership role.
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Experience with machine learning infrastructure.
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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
57,502 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
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Director
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$176,704
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Bonus
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$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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