Top Technology Jobs & Startup Jobs in Sydney

Own product areas for an AI neobank across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams; and use research, feedback, experiments, and performance data to improve products. The role requires strong execution, prioritization, writing, stakeholder management, and independent decision-making.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related 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, experiments, and production insights to drive continuous improvement.

Own product areas within AI Investing and other financial services, defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Launch features, monitor performance, use research and feedback to guide iterations, and balance speed, customer experience, business impact, compliance, and operational complexity.

Own product areas across financial services, including stockbroking, investing, payments, savings, and insurance. Define customer problems, product direction, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, research, feedback, and production insights.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define product direction, user problems, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; use research, feedback, experiments, and performance data to iterate products and balance customer, business, compliance, and operational needs.

Own AI stockbroking product areas across financial services, defining user problems, 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, evaluate, and iteratively improve products while balancing customer experience, business impact, compliance, and operational complexity.

Own AI Investing product areas across financial services by defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate using data, research, feedback, and production insights. The role requires strong ownership, prioritization, writing, stakeholder management, and execution in a fast-moving remote environment.

Own product areas within an AI neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, 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, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and drive continuous improvement using data, research, feedback, and production insights.

Own product areas within AI stockbroking and broader financial services. Define user problems, roadmaps, success metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; use research, feedback, metrics, and production insights to improve decisions; launch features, monitor performance, and drive iterations.