Top Tech Jobs & Startup Jobs in Singapore

Own product areas within AI stockbroking and other financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; use research, feedback, metrics, and production issues to guide decisions; launch features, monitor performance, and drive iteration while balancing speed, customer experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use data, feedback, research, and production insights to iterate on products and improve business and customer outcomes.

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

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use data, research, feedback, experiments, and production issues to improve products, monitor performance, and drive iterations while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas within AI Investing and other financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, and performance data to launch, monitor, and continuously improve products while balancing speed, user experience, business impact, compliance, and operational complexity.

Owns technical direction and execution for major products and systems. Responsibilities include designing scalable systems, writing production code, leading architecture decisions, solving complex engineering problems, improving quality across testing, security, and observability, driving initiatives from design through production, and mentoring engineers across teams. The role is fully remote and requires strong English communication in a distributed international environment.

Owns technical direction and execution for major products, systems, and engineering initiatives. Designs scalable systems across backend, frontend, APIs, databases, and infrastructure; codes hands-on; leads architecture decisions; translates ambiguous product needs into technical plans; improves testing, security, observability, and development practices; resolves production issues; and mentors engineers across teams.

Own AI Finance product areas 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 complex financial journeys; and use data, research, feedback, and production issues to drive continuous improvement.

Own AI Investing product areas across financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; launch features; monitor performance; and iterate using data, feedback, research, and production insights.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, roadmaps, metrics, scope, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; launch features; monitor performance; and drive iterative improvements using data, feedback, research, and production insights.