G

Google

Runs Search and YouTube and builds Gemini AI

Database Customer Engineer - Multiple Teams

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeBeijing, ChinaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience.
  • 10 years of experience in the enterprise software or cloud space.
  • Experience with one or more database technologies, such as MySQL, Redis, MongoDB, PostgreSQL, Oracle, SQL Server, or graph databases.
  • Experience with relational and NoSQL database technologies, including positioning databases for a customer's application use case.
  • Experience writing, reading, and debugging code in Java, JavaScript, Python, or Go.
  • Ability to communicate fluently in Mandarin and English to support client relationship management in the region.

Responsibilities

  • Identify and qualify business opportunities, identify customer technical objections, and develop strategies to resolve technical blockers.
  • Lead customer discovery workshops to assess existing application environments, workloads, and goals for moving to Google Cloud Platform databases.
  • Support technical relationships with Google customers through product and solution briefings, proof-of-concept work, and coordination and prioritization of solutions that affect customer adoption of Google Cloud.
  • Share best practices for promoting databases among accounts and account teams.
  • Serve as a subject matter expert on the Google database portfolio and develop solution initiatives and materials for internal stakeholders and partners.
  • Engage with customers to explain the Google databases portfolio and help design and optimize their data management environments using Google Cloud databases.
  • Help ensure the technical and commercial readiness of solutions, including creating assets for go-to-market teams.
  • Provide field feedback to Product and Engineering teams to inform product direction.

Desired Qualifications

  • Experience in customer-facing pre-business or professional consulting in data and information lifecycle management, including translating customer business needs into cloud-centric solutions.
  • Experience with data management architectures, including storage subsystems, high availability, backup and recovery, disaster recovery, performance, scalability, security, monitoring, and database management.
  • Experience helping customers design and build applications using open-source or cloud-native databases.
  • Experience with data migration strategies and moving production systems in on-premises or data center environments, or in cloud migration scenarios.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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