
Organizing the world's information and making it universally accessible.
Product Manager II, Generative AI, Google Cloud
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Work with partner teams (e.g., Engineers, Program Managers, UX) during product design and development to implement the requirements to turn Product Requirements Documents (PRDs) into Objectives and Key Results (OKRs) for one or more teams.
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Define product roadmaps by operationalizing strategy.
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Develop and secure buy-in for a product goal that identifies, defines, and supports the overall product narrative and direction, achieving an outcome that is greater than the sum of its parts.
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Validate the market size and opportunity (e.g., user-based, strategic opportunity, business growth).
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Drive launches, maintenance, and retirement in collaboration with other cross-functional teams and stakeholders.
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Bachelor's degree or equivalent practical experience.
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5 years of experience in product management or related technical role.
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2 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc).
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Experience with the domain area of Generative AI or Large Language 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
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
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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
L9
Mid/L4
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Senior/L5
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VP
Intern
Director
L3
L4
L5
Junior/L3 · Associate Product Manager 2 (APM2)
0 reports
$183,233
total per year
Base
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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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