
Organizing the world's information and making it universally accessible.
Product Manager II, Databases and Analytics, Google Cloud at Google
Compensation
$156,000 - $229,000
About the role
-
Work with partner teams (e.g., engineers, Pg Ms, UX) during product design and development to implement the requirements to turn PRDs into 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 vision 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, revenue).
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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 developing or launching products or technologies within databases, analytics, big data, or a related area.
Benefits and perks
•Parental Leave
Required skills
Amplitude
SQL
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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
Latest updates
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