Top Tech Jobs & Startup Jobs in Dublin

The Staff Software Engineer will own technical direction and execution for major products and systems. Responsibilities include designing scalable and reliable architectures, writing production code, leading architecture decisions, solving complex technical problems, improving engineering quality, and mentoring engineers. The role requires hands-on software development experience, strong system design skills, and the ability to lead initiatives from concept through production in a distributed global team.

Own the end-to-end strategy, roadmap, backlog, technical design, and outcomes for an AI-powered finance product. Balance money-movement correctness, reliability, security, regulatory requirements, and user experience while partnering with engineering, compliance, operations, treasury, finance, and design. Define responsible AI use cases, evaluation methods, human oversight, and failure handling. Drive launches through partner and regulatory gates and ensure financial data remains accurate, traceable, and trustworthy.

The Principal Software Engineer will own technical direction and execution for major products and systems. Responsibilities include designing scalable systems, writing production code, making architecture decisions, solving complex engineering problems, improving quality through testing, security, observability, and mentoring engineers across teams. The role is fully remote and requires collaboration across international teams and time zones.

Lead product direction, roadmaps, priorities, standards, and success metrics for major AI neobanking app areas. Guide PMs, product owners, designers, and engineers across multiple squads, balancing user experience, data, engineering, regulatory, operational, and business needs. Drive launch quality, post-launch learning, and continuous improvement across financial products including insurance, payments, savings, investing, and travel.

Lead product direction, roadmaps, standards, and success metrics for major areas of KIRA’s AI neobank app. Guide PMs, product owners, designers, and engineers across multiple squads while balancing UX, data, engineering, regulatory, operational, and business needs. Drive launches, product quality, post-launch learning, prioritization, and continuous improvement across financial services including insurance, payments, savings, investing, and travel.

Lead product direction and outcomes for major areas of KIRA’s AI Investing App. Own strategy, priorities, roadmaps, product standards, metrics, launch quality, and continuous improvement across multiple squads and financial-service workstreams. Guide PMs, product owners, designers, and engineers while balancing UX, data, engineering, regulatory, operational, and business constraints. Mentor product teams, simplify complex financial products, and drive fast, measurable, user-focused execution in a high-growth environment.

Lead product direction and execution for major areas of KIRA’s AI Finance App across insurance, payments, savings, investing, travel, and related financial services. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple workstreams or squads. Guide product managers, product owners, designers, and engineers while balancing user experience, data, engineering, regulatory, operational, and business considerations.

Own product areas for KIRA’s AI stockbroking and financial services applications. 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, ship features quickly, monitor performance, and iterate using data, research, feedback, and production insights.

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

Own AI Investing product areas across financial services, defining user problems, product direction, scope, metrics, roadmaps, and launches. Partner with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use research, feedback, metrics, experiments, and production insights to improve products, balance trade-offs, and drive rapid iteration with high ownership.