Full-Time

Customer Engineer

Data and AI, Google Cloud

Posted on 4/15/2025

Google

Google

10,001+ employees

Global technology company specializing in internet services

No salary listed

Senior

Company Historically Provides H1B Sponsorship

Melbourne VIC, Australia + 1 more

More locations: Sydney NSW, Australia

Candidates can choose their preferred working location from Melbourne VIC, Australia or Sydney NSW, Australia.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Data Science
Product Management
Machine Learning
Data Analysis
Google Cloud Platform
Connection
Connection
Connection
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Requirements
  • Bachelor's degree or equivalent practical experience.
  • 6 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience in technical sales or consulting in cloud computing, data analytics, Big Data, Artificial Intelligence or Machine Learning.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Responsibilities
  • Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
  • Share data analytics and machine learning expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering with product management to prioritize solutions impacting customer adoption to Google Cloud.
  • Identify business and technical requirements, conduct technical discovery and architect client solutions to meet gathered requirements.
  • Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
  • Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and Request for Information responses.
Desired Qualifications
  • Experience in building Machine Learning solutions and leveraging specific Machine Learning architectures.
  • Experience in data and information management as it relates to big data trends and issues within businesses.
  • Experience architecting and developing software or infrastructure for scalable, distributed systems.
  • Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.
  • Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, competitive dynamics, and customer buying behavior.
  • Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.

Google is a global technology company known for its search engine, which processes billions of queries daily and provides personalized results based on user data. The company generates revenue primarily through its advertising platforms, AdWords and AdSense, allowing businesses to target specific audiences. In addition to search, Google offers productivity tools like Google Workspace, cloud storage through Google Cloud, and hardware products such as the Google Pixel phone. Its goal is to organize the world's information and make it universally accessible and useful.

Company Size

10,001+

Company Stage

IPO

Headquarters

Mountain View, California

Founded

1998

Simplify Jobs

Simplify's Take

What believers are saying

  • Google's investment in SandboxAQ integrates quantum computing with AI for advanced analytics.
  • The Wiz acquisition strengthens Google's cloud security, attracting more enterprise clients.
  • Google's involvement in Cassava Technologies expands digital infrastructure in emerging markets.

What critics are saying

  • The Wiz acquisition may face regulatory scrutiny, delaying integration.
  • Investment in Anthropic could increase competition in the AI space.
  • Funding SandboxAQ exposes Google to risks in the evolving quantum computing industry.

What makes Google unique

  • Google's search engine offers personalized results using advanced data analytics.
  • The acquisition of Wiz enhances Google's cloud security and multicloud capabilities.
  • Google's investment in Anthropic advances its generative AI technologies for personalized user experiences.

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Benefits

Hybrid Work Options

Remote Work Options

Performance Bonus

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↑ 0%

2 year growth

↑ 0%
Reuters
Apr 4th, 2025
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