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求人Google

Product Marketing Manager, Industry and Applied AI

Google

Product Marketing Manager, Industry and Applied AI

Google

·

On-site

·

Full-time

·

2w ago

About the job

Whether you're on a consumer product (like Gmail, Search, Maps, Chrome, Android) or a business product (Google Ads, Ad Sense, Google Marketing Platform, Analytics), you take part in a complete marketing experience as you lead every facet of the product's journey. From determining positioning, naming, competitive analysis, feature prioritization and external communications, you help shape the product and help it grow a consumer base. This means you work with a cross-functional team across Sales, corporate communications, legal, webmasters, product development, engineering and more. In this role, you'll be involved with product marketing strategy from beginning to end.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

The US base salary range for this full-time position is $142,000-$205,000 + 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

  • Own and manage projects for the end-to-end Go-to-Market (GTM) strategy for applied AI product launches. Define target audiences, create differentiated messaging, and develop the Bill of Materials (BOM) to drive adoption.

  • Coordinate across Sales, Branding, and Events teams to ensure launch activities are aligned with the approved marketing plan and timeline.

  • Support the broader business strategy by identifying market trends and customer insights that inform short-to-medium-term marketing priorities.

  • Build clear, high-impact message houses that translate AI capabilities into business value for business decision-makers.

  • Implement marketing campaigns for existing features to increase lead generation and feature usage.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 6 years of experience in marketing working across one or more marketing fields (i.e. growth, product marketing, brand marketing, social).

  • Experience managing cross-functional or cross-team projects.

Preferred qualifications

  • Bachelor’s degree in Marketing, Business, Communications, Computer Science, or Engineering, or in a related technical field.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Googleについて

Google

Google

Public

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

10,001+

従業員数

Mountain View

本社所在地

$1,700B

企業価値

レビュー

3.7

25件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

3.4

キャリア

3.9

経営陣

2.8

68%

友人に勧める

良い点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

改善点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

給与レンジ

57,502件のデータ

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0件のレポート

$176,704

年収総額

基本給

-

ストック

-

ボーナス

-

$150,298

$203,110

面接体験

9件の面接

難易度

3.4

/ 5

期間

14-28週間

内定率

44%

体験

ポジティブ 0%

普通 56%

ネガティブ 44%

面接プロセス

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense