Jobs at Xero

Plan, launch, and optimize full-funnel paid social campaigns across Meta, TikTok, Reddit, and LinkedIn. Manage budgets, audience segmentation, creative and audience testing, conversion tracking, and performance reporting to drive customer acquisition and measurable growth. Partner with data science, creative, brand, and media teams to improve campaign incrementality, identify growth opportunities, and optimize customer journeys.

Build and maintain SQL data models, dbt pipelines, governed Snowflake semantic layers, and data products supporting Finance, People Experience, and Legal. Ensure data quality, testing, documentation, and reliable reporting for executive and market-facing insights. Collaborate with business teams to translate questions into trusted metrics, contribute to conversational AI and agentic data capabilities, mentor teammates, and establish consistent engineering standards.

Lead modernization of a global marketing data platform by replacing legacy architecture, unifying fragmented data sources, and embedding AI into data products and workflows. Translate commercial strategies into technical requirements, prioritize incremental product delivery, collaborate with engineering and applied science teams, and deliver reporting improvements for sales, marketing, and customer support.

Lead APAC payroll operations for Australia, New Zealand, and Asia; ensure compliance with local legislation; stabilize Ramco payroll; drive automation and Workday integrations; coach payroll leaders; partner with Finance and People; improve documentation and governance.

Drive revenue growth across small and medium-sized business accounts through high-volume outbound campaigns. Promote Stripe, GoCardless, and other financial integrations; manage account pipelines, track conversion metrics, maintain Salesforce records, and optimize messaging. The role requires consultative communication, consistent performance against activity targets, and collaboration with Marketing, Data Science, and Customer Success teams.

Drive small-business revenue growth through high-volume outbound campaigns. Promote integrated payment and financial solutions, manage conversion pipelines, track sales activity and metrics, maintain Salesforce records, and optimize messaging based on customer insights. The role requires consultative communication, proactive prospecting, pipeline management, and collaboration with Marketing, Data Science, and Customer Success teams in a hybrid work environment.

Lead development of full-stack customer-facing features and refactor monolithic systems using React, Redux, C#, ASP.NET Core, and SQL Server. Drive architecture improvements on AWS, integrate AI-assisted tools and automated agents, participate in on-call incident response, and mentor engineers while promoting CI/CD and TDD practices.

Lead Xero’s global Paid Search program by building AI-powered automation, bidding, optimization, reporting, and workflow systems. Partner with Data Science, Marketing Technology, Product, CRO, and Performance Marketing teams to improve SEM scalability and decision-making. Explore emerging search technologies, validate automated solutions, translate technical concepts for senior stakeholders, and mentor SEM specialists while driving measurable commercial growth.

Lead the technical vision, security, CI/CD, data governance, monitoring, release engineering, and AI operations strategy for Xero’s enterprise Salesforce platform. The role combines hands-on Salesforce development with architecture, platform reliability, compliance, automation, and engineering enablement. Responsibilities include coaching engineers, modernizing deployment pipelines, managing platform risk and limits, overseeing D360 integrations, and establishing standards for Agentforce and AI operations.

Design, build, and operate an internal AI skills marketplace and distribution platform. Own end-to-end delivery from experimentation to production, create runbooks, monitoring, rollback plans, and provide guidance on authoring agent skills while collaborating with vendors and engineering teams.

Build and ship complex React Native mobile features for Xero’s accounting app, owning work from technical design through production operation. Evolve scalable mobile architecture, improve performance, reliability, security, observability, and engineering efficiency, and collaborate across Product, Design, backend, platform, and web teams. Mentor engineers, contribute to technical decisions, participate in incident response and post-mortems, and use automation and AI-assisted development to accelerate delivery.

Supports the design, improvement, and operation of security detection and response capabilities. Monitors and investigates alerts, contributes to SIEM, SOAR, EDR, and cloud security workflows, builds detections and integrations, and develops runbooks, playbooks, dashboards, and automations. The role collaborates with security, engineering, product, customer experience, and legal teams while developing engineering skills through guided delivery, pairing, incident participation, and continuous learning.

Build and rapidly deploy internal AI-powered tools and automations that reduce operational toil. Integrate Jira, Confluence, Workday, and data warehouses through APIs; automate reporting, headcount management, and roadmapping workflows; evaluate custom, low-code, and SaaS solutions; prototype scalable AI-enabled improvements; and mentor operations teams in modern AI tooling.

Lead Xero’s SRE team and reliability program across APAC and EMEA. Own HA/DR testing, incident command, reliability gap remediation, and improvements to detection, response, and prevention. Partner with platform, observability, database reliability, and shared services teams while reducing customer-detected incidents. Build and mentor a distributed engineering team, establish reliability practices, and maintain calm, effective incident response across time zones.

Owns customer incident management from investigation and impact assessment through resolution and post-incident review. Coordinates engineering, product, support, leadership, and regional teams during high-pressure incidents; leads customer communications; develops incident processes and registers; and recommends improvements to reduce recurrence and customer disruption.

Lead strategy and execution for Xero’s AI Shared Services platform, including eventing, communications, search, and related reusable capabilities. Define the domain roadmap, establish success metrics and dashboards, build stakeholder relationships, and drive adoption across product and engineering teams. The role requires managing interdependent platform products, applying technical fluency across distributed systems and cloud environments, making investment cases, navigating ambiguity and dependencies, and growing high-performing people and teams.

Lead the strategy, development, and scaling of shared platforms and operating models for AI-native delivery. Align stakeholders, establish roadmaps and governance, measure adoption and organizational impact, and move AI workflows from pilots into repeatable products. Partner with Engineering, Security, Data, and other teams while coaching teams in effective AI product practices and translating complex technical capabilities into investment decisions.

Drive revenue growth across small and medium-sized business accounts through high-volume outbound campaigns. Promote integrated payment and financial solutions, manage conversion pipelines, track sales metrics, and maintain Salesforce records. Use consultative communication to identify customer needs, explain product benefits, meet activity targets, and optimize outreach messaging in collaboration with Marketing, Data Science, and Customer Success teams.

Build internal tooling and platform improvements for database reliability. Split time between software engineering and database operations: monitoring, observability, performance tuning, incident response, migration to RDS/Postgres, and automating fleet management to improve resilience and developer efficiency.

Develop and deploy machine learning products and services by translating complex business problems into applied research programs. Build robust data pipelines and reusable code in Python or Scala, develop and evaluate applications involving NLP, computer vision, and LLMs, and monitor algorithms at scale. The role also involves managing research risks, collaborating cross-functionally, mentoring colleagues, communicating complex findings, and raising scientific and engineering standards.