Digital Solution Engineer Singapore Singapore Singapore

Job description

Own the technical strategy for assigned customers across the customer adoption journey from discovery through technical to close, MVP, pilot, and production adoption and scaling phases. Lead architecture-led customer conversations across Azure AI, application innovation, data platforms, developer tools, cloud operations, governance, and security topics. Deliver demos, whiteboarding sessions, architecture workshops, proof of concepts, and technical validations that demonstrate clear business value and a sensible path to production for customers. Translate customer product goals, business priorities, and technical complexity into decision criteria, success plans, implementation roadmaps, and measurable outcomes. Identify and remove technical blockers including architecture gaps, security concerns, capacity and quota constraints, migration risks, integration challenges, and operational readiness issues. Partner with account executives, specialists, and customer success teams to support pipeline creation, opportunity progression, technical win documentation, milestone hygiene, and forecast quality. Capture reusable patterns, lessons learned, field feedback, and customer insights so we can scale our business consistently across the globe. Experience in technical pre-sales, solution engineering, cloud architecture, software engineering, technical consulting, or an equivalent customer-facing technical role. Demonstrated ability to influence technical and business stakeholders, including CTOs, founders, engineering leaders, architects, and product leaders. Hands-on understanding of cloud architecture and modern application design, including security, reliability, scalability, integration, and operations. Practical experience with AI, data, analytics, application modernization or developer platform solutions on Azure or comparable cloud platforms. Experience creating demos, prototypes, POCs, pilots or MVPs that lead to technical decisions and production adoption. Strong communication, storytelling, and collaboration skills; ability to drive consensus without direct authority. Bachelor's degree in computer science, engineering, information technology, or a related field, or equivalent practical experience. Experience working with startups, SMBs, SaaS, marketplace, venture-backed or product-led-growth customer scenarios. Understanding of AI governance, Responsible AI, security, compliance, model evaluation, observability, cost management, and FinOps. Ability to support technical sales motions across complex territories, multiple stakeholders, and fast-moving customer priorities. Experience with competitive positioning and objection handling in AI, cloud platform, data, or developer tool markets. Spoken and written Mandarin fluency is a nice-to-have but not strictly required.