Jobs at Xero

Manages a distributed team of three data scientists while personally leading North American marketing measurement. Responsibilities include campaign and event measurement, churn analysis, funnel effectiveness, AI-driven insight generation, and agentic analytics. The role requires translating complex analysis into actionable recommendations, partnering with marketing teams, coaching across time zones, and establishing sustainable delivery practices.

Lead the architecture and development of secure, scalable payment platform services, including payment orchestration, fraud and risk capabilities, multi-provider integrations, bill payments, and high-throughput systems. The role involves hands-on production coding, technical leadership, mentoring, cross-functional collaboration, and advancing AI-enabled engineering workflows.

Design, build, and operate scalable distributed systems for millions of users. Modernize monolithic systems, improve CI/CD and testing practices, make major architectural decisions, develop technical solutions, and mentor engineers. Collaborate with product owners and designers in an agile hybrid environment while maintaining high standards for software quality, reliability, and technical excellence.

Own the API, data-access, permissions, and payment platform underlying Xero Bills. Lead accounts payable automation, AI agent capabilities, replatforming, multi-persona experiences, risk and compliance decisions, product strategy, commercial outcomes, and cross-functional execution. The role requires shipping reliable APIs and AI products in error-intolerant domains while balancing customer needs, technical architecture, regulatory requirements, and payment economics.

Own the strategy and roadmap for Xero’s merchant and transaction payments-risk capabilities. Build scalable systems for KYB/KYC, underwriting, fraud detection, monitoring, disputes, chargebacks, reserves, holds, payout risk, and loss management. Partner with Engineering, Data, Risk, Compliance, and Operations to translate policy into product controls, decisioning workflows, and customer experiences. Use risk and loss data to balance fraud prevention, financial exposure, conversion, friction, and operating costs across processors, payment methods, and markets.

Lead the design, delivery, and operation of agentic AI workflows and applications from discovery through production. Partner with business teams to automate complex workflows, integrate AI with enterprise platforms, and establish reusable patterns, guardrails, evaluation frameworks, and monitoring. Collaborate with product owners and subject-matter experts, translate business needs into technical solutions, and coach teams to improve AI fluency and adoption.

Engineer AI-enabled automation, integrations, workflows, and guardrails across Xero’s Atlassian, Google Workspace, Slack, and internal AI ecosystem. Own production systems, solve complex technical challenges, improve reliability, contribute to architecture and engineering standards, maintain documentation, and support or mentor teammates. The role requires hands-on scripting, API and integration design, cloud productivity systems expertise, security awareness, and strong communication in a hybrid Vancouver-based team.

Lead end-to-end design and delivery of reporting features and platform improvements. Build reliable, high-performance, data-heavy customer-facing reporting experiences, mentor engineers, drive testing, observability, and continuous improvement, and collaborate with product, design, and platform teams.

Build and maintain reliable, scalable cloud-based APIs and services across the full stack. Improve engineering practices, use AI tools to boost productivity, participate in on-call rotations, and collaborate with product and design to deliver quality software.

Lead the design, delivery, and operationalisation of agentic AI workflows and agents from discovery to production. Build integrations with enterprise systems, reusable automation patterns, and monitoring frameworks while partnering with stakeholders and evangelising safe, auditable AI automation across the business.

Lead architecture and refactor monolithic systems into scalable distributed platforms. Drive technical solution design, improve CI/CD and TDD practices, mentor engineers, and maintain high-quality software using C#, .NET, React, AWS, and Kubernetes in a hybrid Vancouver team.

Lead and mentor a software engineering team to deliver roadmaps with high code quality and system health. Champion AI-native workflows, drive architectural modernization, improve developer experience, decouple legacy systems, and collaborate cross-functionally with Product and Design to deliver predictable outcomes.

Lead cross-team technical strategy and architecture for large-scale cloud-native systems. Drive CI/CD automation, microservice refactoring, SLOs, technical frameworks, and operational metrics. Mentor lead engineers, improve engineering practices, and balance technical debt with product delivery to enable secure, scalable solutions for small-business customers.

The Lead Engineer will solve engineering problems, modernise systems, enhance the developer experience, and mentor other engineers while building high-quality software.

Lead refactoring of monolithic systems into distributed, scalable architectures. Influence architecture and design, improve CI/CD and developer experience, implement automated testing and TDD, mentor engineers, and deliver high-quality, highly available software for millions of users.

Design, build, and operate scalable backend services for accounting core systems. Migrate monolith to microservices, solve database scalability issues, implement resilient distributed systems, automate processes and CI/CD, apply test-driven practices, and collaborate across teams while mentoring peers and engaging stakeholders.