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Google
Google

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

AI Sales Specialist, Google Cloud

직무영업
경력미들급
위치Melbourne VIC, Australia
근무오피스 출근
고용정규직
게시3개월 전
지원하기

복지 및 혜택

스톡옵션

무제한 휴가

원격 근무

의료보험

교육비 지원

필수 스킬

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).

전체 조회수

0

전체 지원 클릭

0

전체 Mock Apply

0

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

Mid/L4

Junior/L3 · Account Manager

955개 리포트

$235,140

총 연봉

기본급

$138,750

주식

$55,227

보너스

$41,164

$148,728

$383,799

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