Jobs
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Lead and scale a global engineering organization, fostering a culture of innovation among senior leadership.
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Define and execute the technical roadmap for Drive’s AI transformation.
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Partner with product and sales to accelerate Drive’s commercial subscription growth, building a competitive pure-play storage offering for the enterprise market.
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Maintain the high performance of a 2-billion-user platform while evolving its architecture to support new AI modalities and cloud-to-desktop integration.
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Cultivate a high-performing team and foster enhanced collaborative relationships with GDM teams to demonstrably improve the velocity and overall quality of product delivery.
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Bachelor’s degree in Computer Science or equivalent practical experience.
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15 years of experience in engineering leadership.
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5 years of experience in the integration of LLMs.
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3 years of experience architecting and deploying GenAI-driven features within global consumer-facing products.
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Experience leading globally-dispersed engineering teams of 300+.
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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
L9
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Intern
Director
Junior/L3 · Associate Product Manager 2 (APM2)
0 reports
$183,233
total per year
Base
-
Stock
-
Bonus
-
$155,748
$210,718
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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