Top Tech Jobs & Startup Jobs in Singapore

Own product areas for an AI-focused neobank across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify financial workflows; and use data, research, feedback, and production issues to drive continuous product improvement.

Lead application engineering for an AI-powered email product across backend, mobile, and desktop platforms. Design reliable AI workflow systems, APIs, orchestration, retries, fallbacks, and failure handling. Make architectural decisions, lead a small senior engineering team, mentor engineers, and establish strong observability, monitoring, testing, security, and operational practices. Partner with ML leadership to convert model capabilities into scalable, reliable product experiences while balancing latency, cost, reliability, and user experience.

Lead the engineering strategy and execution for an AI-powered email application across backend, mobile, and desktop platforms. Design reliable AI workflow systems, APIs, orchestration, retries, fallbacks, and failure handling. Lead a small senior engineering team through architecture, code reviews, mentorship, and technical decisions. Establish observability, monitoring, testing, and operational excellence while partnering with ML leadership to deliver scalable, reliable product experiences.

Lead the engineering strategy for an AI-powered email application across backend, mobile, and desktop platforms. Design reliable AI workflows involving orchestration, state, tool use, retries, fallbacks, and failure handling. Build production APIs, make architectural trade-offs, establish observability and testing foundations, and partner with ML leadership. Lead a small senior engineering team through technical reviews, mentorship, and hands-on development while improving system reliability, latency, scalability, and user experience.

Owns the end-to-end product strategy and execution for AI-powered systems, translating model capabilities, technical constraints, and user needs into measurable requirements and product decisions. Partners closely with ML, backend, and client engineering teams on system design, evaluation, experimentation, reliability, safety, and user experience. Establishes quality standards, identifies failure modes, prioritizes roadmaps, and drives rapid iteration for predictable, useful, and trusted AI products.

Own product areas within BJAK’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product strategy, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use data, research, feedback, and production insights to launch, monitor, and iteratively improve products.

Lead technical direction and hands-on execution for major software products and systems. Design scalable backend, frontend, API, database, and infrastructure solutions; write and review code; make architecture trade-offs; resolve production issues; improve testing, security, observability, and development practices; lead critical initiatives; and mentor engineers across distributed international teams.

Own product areas for AI stockbroking and other financial services, from identifying user problems through roadmap definition, feature launches, and post-launch iteration. Partner with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, establish success metrics, analyze feedback and performance, and balance speed, usability, business impact, compliance, and operational complexity.

Own technical direction and hands-on execution for major products and systems. Design and build scalable, reliable solutions across backend, frontend, APIs, databases, and infrastructure. Lead architecture decisions, coding, prototyping, code reviews, debugging, production problem-solving, and technically critical initiatives. Improve engineering quality, mentor engineers across teams, and translate ambiguous product challenges into clear technical plans. Collaborate effectively across distributed international teams and time zones.

Lead technical direction and hands-on execution for major software products and systems. Design scalable backend, frontend, API, database, and cloud solutions; write and review code; resolve production issues; guide architecture and trade-offs; improve engineering quality; lead critical initiatives; and mentor engineers across teams.