NextRaiseNextRaiseFind jobs
Sign inSign up free
Jobs / Sales Engineer in Singapore
2 days ago
Apply with autofill
Apply with autofill
Google·SaaS·2 days ago
2 days ago

AI Outcome Customer Engineer, Google Cloud (Thai)

SingaporeFull-timeSenior · 7+ yearsSales Engineer

Sign up free to see how well your resume matches this role.

Boost your chances at Google

How you compare FREE

?
Your scoreYour score: not yet known
→
45
Top 10%Top 10%: 45 out of 100

Top 10% of NextRaise users matched against Sales Engineer roles in Singapore.

Must-have skills for this role

  • cloud infrastructure
  • ai/ml model deployments
  • thai language
  • java

PDF or DOCX · no account needed

Apply faster with autofill FREEThe NextRaise extension autofills your application in one click.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Partner with Account teams and Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
  • Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
  • Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
  • Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
  • Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.

What they're looking for

  • Bachelor’s degree or equivalent practical experience.
  • 7 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience with technical delivery strategies and interfacing with product or engineering organizations.
  • Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
  • Experience reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript), and in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
  • Ability to communicate in Thai fluently, to support client relationship management in this region.

Nice to have

  • Experience diving deep into novel technical problems, deciphering ambiguity, diagnosing bugs, and emerging with credible architectural solutions.
  • Experience orchestrating specialized technical resources to execute complex builds.
  • Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
  • Excellent executive communication skills, capable of translating deep technical integration issues into business impact.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

As an AI Outcome Customer Engineer, you work as an enterprise architect, technical debugger, engineering liaison and technical delivery manager. You will bridge the gap between pre-sales agreement shaping and post-sales execution. Entering the agreement cycle during the technical evaluation phase for strategic AI accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery. Aligned with our Forward Deployed Engineering (FDE) organization, you will architect how these technical assets actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints).

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities:

  • Partner with Account teams and Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
  • Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
  • Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
  • Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
  • Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 7 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience with technical delivery strategies and interfacing with product or engineering organizations.
  • Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
  • Experience reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript), and in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
  • Ability to communicate in Thai fluently, to support client relationship management in this region.

Preferred qualifications:

  • Experience diving deep into novel technical problems, deciphering ambiguity, diagnosing bugs, and emerging with credible architectural solutions.
  • Experience orchestrating specialized technical resources to execute complex builds.
  • Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
  • Excellent executive communication skills, capable of translating deep technical integration issues into business impact.
SaaS

Company

GoogleSaaS
Singapore

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Google's careers site·first seen 17 Sept 2026·last verified 17 Sept 2026·How we source jobs

Similar jobs

  • Staff Solution Engineer at CoupangSingapore; Singapore, Singapore–match not yet calculated
  • Cloud & AI Solution Engineer - AI Applications at MicrosoftJakarta, Singapore–match not yet calculated
  • Customer Engineer, AI Security, Google Cloud at GoogleSingapore–match not yet calculated
  • Test Solutions Engineer at Micron TechnologyMSB, Singapore–match not yet calculated
  • AI Outcome Customer Engineer at GoogleSingapore–match not yet calculated

Browse more jobs

  • Sales Engineer jobs in Singapore
  • Solutions Architect jobs in Singapore
  • Technical Account Manager jobs in Singapore
  • Technical Writer jobs in Singapore
  • Sales Engineer jobs in United States
  • Sales Engineer jobs in United Kingdom