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트렌딩 기업

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채용Google

Group Product Manager, AI Edge

Google

Group Product Manager, AI Edge

Google

·

On-site

·

Full-time

·

2w ago

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.

In this role, you will be the strategic business and product leader charting Google's leadership in this fast emerging market. You will operate with high autonomy and leverage Google's infrastructure and AI research capabilities. You will own the portfolio focused on AI Edge and agentic workflows, empower a high-performing team of product managers, partner with global cross-functional leaders, and influence executive strategy to drive a differentiated portfolio.

Additionally, you will shape the paradigm shift for edge compute, define how autonomous agents interact, process data securely at the edge, and orchestrate complex tasks. You will have the unique mandate to operate at the pace of innovation expected by our customers with the resources and scale of Google to define the differentiated AI Edge portfolio and enable agentic interactions and transactions.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $240,000-$334,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Partner with leadership to drive alignment, secure investment, and define the long-term strategic outlook for the AI Edge portfolio.

  • Build, scale, and lead a team of product managers. Define the organizational structure and foster a culture of high performance and rapid innovation.

  • Establish the operating rhythm for the AI Edge portfolio. Empower your team of product managers to drive end-to-end execution while you unblock strategic dependencies, and ensure cross-portfolio cohesion.

  • Own the business outcomes and strategic monetization models for the AI Edge portfolio. Partner deeply with global Sales, Marketing, and Partnerships leadership to define category-creating GTM motions, capture significant market share, and drive business generation outcomes.

  • Shape Google's stance within the broader AI and developer ecosystem, driving strategic partnerships and ensuring deep DevOps affinity for our edge orchestration frameworks.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 10 years of product management experience, including building, scaling, and driving commercial success for enterprise platforms, cloud, SaaS, or edge computing products.

  • 5 years of experience managing, mentoring, and developing teams of product managers.

  • 3 years of experience developing or launching edge platforms or technologies within AI or agent AI workloads.

Preferred qualifications

  • Master's degree in a technology or business related field.

  • Experience building, owning, and landing business generation growth through innovative products, monetization, and go-to-market strategies.

  • AI fluency with open-source and foundational models, agentic protocols, edge compute infrastructure, and content delivery networks.

  • Understanding and technical fluency with agentic protocols (e.g., MCP, A2A) and AI orchestration frameworks (e.g., Lang Chain, Llama Index) to drive business strategy, partnership decisions, and DevOps ecosystem affinity.

  • Ability to influence C-level executives and drive alignment across cross-functional organizations.

  • Ability to synthesize highly complex, deeply technical concepts into compelling business narratives for both internal leadership and external market positioning.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

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

4.5

10개 리뷰

워라밸

3.2

보상

4.3

문화

4.1

커리어

4.2

경영진

3.8

82%

친구에게 추천

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

L3

L4

L5

L6

L7

L8

L9

Mid/L4

Principal/L7

Senior/L5

Staff/L6

VP

Intern

Director

Junior/L3 · Associate Product Manager 2 (APM2)

0개 리포트

$183,233

총 연봉

기본급

-

주식

-

보너스

-

$155,748

$210,718

면접 경험

9개 면접

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