Top Tech Jobs & Startup Jobs in Singapore

Build and ship Android and/or iOS features for a finance super app. Design smooth mobile flows for insurance, payments and financial services, integrate APIs, handle edge cases and production issues, improve app performance and reliability, and collaborate with product, design and backend teams to deliver high-quality mobile experiences.

Design, build and ship native iOS features in Swift for a finance super app. Implement clean user flows for payments, insurance and financial services, integrate backend APIs, improve performance and reliability, use analytics and on-device AI where beneficial, and collaborate with product and design.

Build and ship native Android features in Kotlin for a finance super app. Design clean user flows, integrate backend APIs, improve performance and reliability, debug production issues, and apply analytics and on-device ML where it improves UX.

Build end-to-end customer-facing and internal features for a finance super app: web flows, backend APIs, admin tools, dashboards, and operational systems. Integrate APIs, handle data flows, improve production reliability, iterate using analytics and feedback, and reduce manual work through tooling. Collaborate with product, design, mobile and operations teams to launch and support products across insurance, payments, savings, investing and travel.

Own and translate business goals into clear product requirements, manage backlog and sprints, work with engineering/design/QA/operations, test and ensure product quality, track bugs and post-launch fixes, and keep stakeholders informed.

Lead product direction and roadmaps for major finance super-app areas; guide PMs, designers and engineers across squads; translate regulatory and operational constraints into pragmatic product decisions; drive launch quality, post-launch learning and continuous improvement.

Own product areas within a finance super app: define problems, scope, metrics and roadmap; work with engineering, design, data, operations and compliance; launch, monitor and iterate; simplify complex financial products into usable journeys.

As an Applied AI Engineer, you will develop AI features, improve model behavior, debug production issues, and collaborate on systems that deliver reliable AI solutions.

Responsible for developing and deploying production-grade machine learning systems, optimizing pipelines, and collaborating with engineering teams. Focus on deep learning and scalable inference systems.

The VP of Engineering leads application strategy for AI chat products, managing teams and ensuring quality and reliability across platforms.