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Google
Google

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

Product Manager, YouTube Creator Support

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About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Our mission is to not only perfect the products creators rely on today but to invent the future with 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 drive creator success, collaborating on strategic projects across all of YouTube to ensure the next generation of creators has everything they need to build and grow.

Responsibilities

  • Redefine how YouTube provides support to its global community of creators. Lead a portfolio of high-impact initiatives that will shape the future of creator support powered by AI.

  • Be responsible for driving the Agentic strategy for YouTube support.

  • Develop tools for building AI agents on top of the latest and most modern Gemini agentic infrastructure to allow support teams with and without engineering knowledge to develop AI agents.

  • Develop tools to assist human agents in customer support centers.

  • Develop solutions and agents for the most critical support user journeys. Ensure security for both human and AI agent driven support.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

Preferred qualifications

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

  • Experience building and launching customer-facing Large Language Model (LLM) products, and understanding of product lifecycle management.

  • Ability to leverage customer/user support data to identify product opportunities and drive improvements in key metrics (e.g., escalation volume, cost per user, first-time resolution, TRT, AHT, CSAT).

  • Excellent communication skills, with the ability to build strong relationships with cross-functional partners and stakeholders.

  • Excellent problem-solving skills to generate actionable product insights from support data, identifying core issues, and prioritizing scalable solutions.

전체 조회수

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전체 지원 클릭

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전체 Mock Apply

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전체 스크랩

0

Google 소개

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

10개 리뷰

4.5

10개 리뷰

워라밸

3.2

보상

4.3

문화

4.1

커리어

4.2

경영진

3.8

82%

지인 추천률

장점

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

단점

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

연봉 정보

57,503개 데이터

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)

0개 리포트

$183,233

총 연봉

기본급

-

주식

-

보너스

-

$155,748

$210,718

면접 후기

후기 9개

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense