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AI Sales Specialist, Google Cloud

Google

AI Sales Specialist, Google Cloud

Google

placeMelbourne VIC, Australia

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Top Tier compensation with equity

Flexible PTO policy

Annual team offsites

Remote work flexibility

Health, dental, and vision coverage

Learning and development stipend

Required Skills

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).

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About Google

Google

Google

Public

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

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work Life Balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

63,375 data points

Junior/L3

Mid/L4

Junior/L3 · Account Manager

955 reports

$235,140

total / year

Base

$138,750

Stock

$55,227

Bonus

$41,164

$148,728

$383,799

Interview Experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer Rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview Process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense