Jobs
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Drive the end-to-end life-cycle of Google Drive GenAI projects by gathering technical requirements, assessing risks, and managing milestones. Prioritize features alongside product and engineering teams, leveraging a deep understanding of algorithms and GenAI strategy to lead technical discussions and pseudo-coding initiatives.
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Partner with engineering and product management to define drive-specific requirements, dependencies, and resource schedules. Identify technical bottlenecks, implement risk mitigations, and resolve complex issues to ensure the successful delivery of high-demand Google Drive directives.
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Exercise independent judgment to develop program recommendations that translate into actionable plans.
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Implement process improvements by identifying, developing, and implementing process improvements to help the team scale.
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Demonstrate technical knowledge and thought leadership in algorithms and GenAI strategy to enhance project efficiency and distill complex technical concepts into actionable steps for engineers and leadership.
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Bachelor's degree in a technical field, or equivalent practical experience.
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5 years of experience in program management.
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Experience with software development program management.
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Experience with Generative AI Models.
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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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