Top Technology Jobs & Startup Jobs in Sydney

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; 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 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, feedback, research, and production issues to drive post-launch improvements and trade-offs.

Own product areas within an AI-focused neobank, defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features, monitor performance, and iterate using data, research, feedback, and production insights. The role requires strong ownership, prioritization, stakeholder management, product judgment, and execution with limited guidance.

Own product areas across KIRA’s AI Stockbroking and broader 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; use research, feedback, experiments, and performance data to improve products; and drive post-launch iteration and business impact.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product direction, metrics, roadmaps, and launches; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial journeys; and use data, feedback, experiments, and production insights to drive continuous improvement.

Own product areas for KIRA’s AI Investing and broader financial services offerings. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, ship features quickly, monitor performance, and iterate using data, research, feedback, and production insights.

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 technical direction and execution for major products and systems. Design scalable, reliable architectures across backend, frontend, APIs, databases, and infrastructure while remaining hands-on with coding, prototyping, reviews, debugging, and production support. Lead architecture decisions, resolve complex engineering problems, improve quality and development practices, drive critical initiatives from design to production, and mentor engineers across distributed international teams.

Own technical direction and execution for major products and systems. Design scalable, reliable architectures across backend, frontend, APIs, databases, and infrastructure; remain hands-on through coding, prototyping, reviews, debugging, and production support. Lead architecture decisions, resolve complex engineering problems, improve quality and operational practices, deliver critical initiatives, and mentor engineers across distributed international teams.