トレンド企業

Google
Google

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

AI Sales Specialist, Google Cloud

職種営業
経験ミドル級
勤務地Melbourne VIC, Australia
勤務オンサイト
雇用正社員
掲載3ヶ月前
応募する

福利厚生

ストックオプション

無制限休暇

Remote Work

健康保険

Learning Budget

必須スキル

Python

Apache Spark

TensorFlow

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a AI Sales Specialist, you will lead the enterprise transition from AI exploration to strategic production. You will sit at the intersection of technical depth and commercial strategy, helping customers navigate the journey from initial pilots to scalable systems that generate measurable Return on Investment (ROI).

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.

Responsibilities

  • Guide customers through the pilot-to-production journey. Distinguish between model Application Programming Interfaces (API) and full platform value, and drive scalable decisions.

  • Shift conversations to business cases. Model and platform Total Cost of Ownership (TCO), explain inference cost scaling, and articulate the ROI of build vs buy decisions.

  • Navigate the value patterns such as business generation (e.g., customer experience), efficiency (e.g., automation), and decision augmentation (e.g., insight).

  • Position AI agents within the context of the industry. Explain how data proximity, governance, and operational coherence (e.g., MLOps) on Vertex AI create a competitive advantage.

  • Leverage a team of Field Sales Representative (FSR) and Customer Engineers, and activate partners to scale industry-specific plays and accelerate implementation. Assess agreement maturity. Commit to defendable numbers based on technical reality and executive sponsorship.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 10 years of experience in enterprise technology sale.

  • 3 years of experience in cloud, data, analytics, or AI/ML.

Preferred qualifications

  • Experience selling Large Language Models (LLMs), agents, or generative technologies.

  • Experience in the regulatory and operational data challenges of specific industries (e.g. FSI, Retail, Telco, Manufacturing).

閲覧数

0

応募クリック

0

Mock Apply

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

10件のレビュー

4.5

10件のレビュー

ワークライフバランス

3.2

報酬

4.3

企業文化

4.1

キャリア

4.2

経営陣

3.8

82%

知人への推奨率

良い点

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

改善点

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

給与レンジ

57,503件のデータ

Junior/L3

Mid/L4

Junior/L3 · Account Manager

955件のレポート

$235,140

年収総額

基本給

$138,750

ストック

$55,227

ボーナス

$41,164

$148,728

$383,799

面接レビュー

レビュー9件

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