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Lead global sales operations transformation by embedding AI-enabled reporting and CRM improvements, building analytics infrastructure, streamlining data flows, designing operating rhythms and governance, and delivering scalable, process-driven commercial insights to senior leaders to boost go-to-market performance.

The Engineering Manager will lead software delivery teams, champion AI workflows, resolve technical challenges, and enhance engineering practices to meet business goals.

The Engineering Manager will lead a team to deliver high-quality software, balancing delivery and operational excellence while fostering team growth and adopting AI-native workflows.

Build relationships with accounting firms and advise them on adopting Xero’s cloud accounting platform. Use accounting expertise to understand practice challenges, recommend digital strategies, guide firms toward greater efficiency, and support partner outcomes. Work autonomously within an assigned territory while developing a career in SaaS sales and advisory services.

Manage and grow accounting and bookkeeping partners across New Zealand. Develop territory plans, increase adoption of Xero products and payment services, host educational events and webinars, deepen online strategies, and use Salesforce to monitor relationship health and mitigate churn. Build long-term relationships with senior stakeholders while identifying upgrade opportunities and serving as a trusted advisor.

Lead people analytics for HR, building trusted workforce scorecards, dashboards and KPI definitions. Translate Workday, survey and reward data into actionable insights, embed metrics into planning and forecasting, lift HR data literacy, and partner with HR, Finance and engineering to deliver shared people analytics outcomes.

Lead technical initiatives to enhance engineering excellence, mentor teams, simplify challenges, and advocate for cloud-native architectures and DevOps practices.

Lead a distributed data engineering team to design, build, and maintain core data models and real-time data flows on an AWS/Snowflake platform. Balance strategic architecture and hands-on delivery, manage risks and dependencies, establish SLOs and DataOps practices, and coach senior engineers to improve platform quality and performance.

Lead product strategy and execution for the reconciliation review experience (Auto Bank Rec). Define roadmap, success metrics, and evaluation frameworks; partner with engineering, ML, and UX to shift to management-by-exception; build dashboards and data-driven insights; and expand reconciliation into AI-native, conversational surfaces to accelerate time-to-value.

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.