Customer Engineer, Google Cloud Platform, Smb (english, Japanese)

Google Google · Big Tech · Tokyo, Japan

Customer Engineer for Google Cloud Platform, focusing on SMB clients in Tokyo. This role involves being the technical expert for sales, designing and implementing custom solutions for partners using Google Cloud. Responsibilities include understanding customer technical needs, advocating for Google Cloud products, prototyping integrations, and recommending architectures. The role requires experience with cloud infrastructure, digital native customers, technical presentations, and familiarity with data and AI, including generative AI and agentic AI solutions.

What you'd actually do

  1. Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
  2. Share in-depth Google Cloud expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
  3. Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
  4. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
  5. Acquire new logos, create and build customer relationships from scratch, and establish yourself as a trusted advisor on their long-term technology and business decisions.

Skills

Required

  • cloud infrastructure engineering
  • on-premise infrastructure engineering
  • virtualization
  • containerization platforms
  • digital native customers
  • technical presentations
  • data and AI
  • generative AI
  • agentic AI solutions
  • English
  • Japanese

Nice to have

  • MBA or Master's degree in Computer Science or a related field
  • WAN/internet-related technologies and architectures
  • SaaS, PaaS, IaaS
  • cloud productivity suites
  • architecting and developing software or infrastructure for scalable and secure distributed systems
  • relational databases
  • NoSQL databases
  • Big Data technologies
  • containers

What the JD emphasized

  • Experience in data and AI, including generative AI and agentic AI solutions and environments.