Remote job
Customer Engineer, APAC
Job details
About this role
Role overview
Serve as a technical partner to enterprise prospects and customers across the Asia-Pacific region, helping them evaluate and adopt AI and machine-learning services. The role centers on pre-sales discovery, solution design, demonstrations, and proof-of-concept work, with additional onboarding, account health, and initial technical support as the regional team grows.
Responsibilities
- Lead discovery conversations to understand customers’ AI architecture, use cases, integration needs, model requirements, data residency, and compliance considerations. - Design tailored demonstrations and manage proof-of-concept environments that address specific customer problems. - Partner with sales colleagues through the sales cycle, answering technical questions and contributing to proposals, customer meetings, reviews, and executive briefings. - Explain technical trade-offs, respond to objections, and support discussions about service levels and implementation timelines. - Share customer requests, competitive gaps, and regional market needs with product and engineering teams. - Support customer onboarding and adoption, monitor technical blockers, and troubleshoot API or code-level issues during APAC hours, coordinating deeper investigations with global teams.
Requirements
- At least five years in a sales engineering, customer engineering, solutions engineering, or solutions architecture role for B2B software, APIs, or infrastructure. - Hands-on technical experience with software development, APIs, or cloud infrastructure, including reading code and debugging integrations. - Strong presentation and problem-solving skills, with the ability to explain complex topics to varied audiences and design solutions under pressure. - A customer-focused approach and readiness to contribute across pre-sales, adoption, account health, and initial support. - Ability to work independently as a regional contributor and coordinate with a distributed team, including planned overlap with U.S. colleagues.
Nice to have
Experience supporting AI, machine learning, large language model, or machine-learning platform sales.