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Google
Google

Organizing the world's information and making it universally accessible.

Product Manager, YouTube Studio Platform Experience

RoleProduct
LevelLead
WorkOn-site
TypeFull-time
Posted1 month ago
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About the job

We are the team that builds the essential toolkit for millions of creators worldwide, powering everything from their daily workflows in YouTube Studio to their community interactions and Channel Pages. Our mission is to not only support the products creators rely on today but to invent the future with cutting-edge, AI-powered tools that unlock new insights and creative possibilities. We are also building a future where help is intelligent, proactive, and seamlessly integrated into the creator's journey. From AI-powered help centers to ensuring creator account health, we are dedicated to providing assistance at every turn. We manage creator success, collaborate on strategic projects across all of YouTube to ensure the next generation of creators has everything they need to build, grow, and thrive.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Responsibilities

  • Responsible for managing the core of YouTube Studio.

  • Define Design System and Information Architecture for the app across web and mobile.

  • Implement the platform allowing teams across YouTube to deploy their features.

  • Be responsible for ensuring the app as a whole remains cohesive.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience

  • 3 years of experience in product management, or a related technical role.

Preferred qualifications

  • Experience building and launching customer-facing Large Language Models (LLM) products, demonstrating an understanding of product life-cycle management.

  • Experience in innovating and implementing product solutions to introduce workflow or cost efficiencies (e.g., through tooling or other product solutions).

  • Experience in generative AI.

  • Ability to leverage customer/user support data to identify product opportunities and drive improvements in key metrics.

  • Excellent investigative skills to lead teams in generating actionable product insights from support data, identifying core issues, and prioritizing solutions.

  • Excellent influence and executive communication skills, with the ability to build relationships with cross-functional partners, including Vice President (VP)-level stakeholders.

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About Google

Google

Google

Public

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

Junior/L3

L6

L7

L8

L9

Mid/L4

Principal/L7

Senior/L5

Staff/L6

VP

Intern

Director

L3

L4

L5

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