Jobs
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Establish the strategy and business requirements for AI-powered talent products, including understanding and supporting multiple user role types (managers, leaders, HR, etc.).
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Identify and prioritize opportunities to make talent products and solutions optimally helpful across a wide range of individual user journeys.
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Build and evolve high-potential AI prototypes into scalable, enterprise-grade solutions that meet the needs of a global workforce.
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Convert ambiguous user needs and high-level strategy into concrete business requirements, functional specifications, and user journey maps for tech Product Managers, UX, and Engineering, while fostering partnerships.
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Oversee products and serve as trusted advisor and spokesperson from ideation through implementation, ensuring a feedback-rich environment that allows for rapid strategy pivots based on user data.
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Bachelor's degree or equivalent practical experience in Business Administration, Product Management, Human Resources, a related field, or equivalent practical experience.
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10 years of experience in product strategy, product management, business administration, HR strategy, talent management, or management consulting.
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Experience working across HR and product teams on programs.
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Experience building AI-powered tools for employees or consumers.
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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
Staff/L6
Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total per year
Base
-
Stock
-
Bonus
-
$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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3d ago
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