Top Tech Jobs & Startup Jobs in Melbourne

Lead design and implementation of large-scale distributed production systems powering generative AI features. Own architecture, mentor engineers, manage technical debt, operationalize ML/LLM models, and collaborate with scientists to productionize research using Python, SQL, Spark/Dask, AWS, and Kubernetes.

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.

Lead Xero's shared Data Engineering function to execute data and platform strategy, deliver reliable self-service and AI-first data platforms, embed governance-by-design, improve observability and operational health, grow senior leadership, and enable domain teams through reusable platforms, patterns and guardrails.

Transition accounting professionals into advisory sales roles by consulting with accounting firms on digital transformation using the Xero platform. Build relationships with decision-makers, diagnose practice needs, recommend cloud accounting solutions, work autonomously across a territory, and drive partner outcomes while supporting firm efficiency and growth.

Provide frontline support to small business owners, bookkeepers, and accountants via phone, email, and chat. Use accounting fundamentals to resolve queries, perform proactive outreach, and escalate when needed. Help customers realize Xero's value, meet quality and turnaround targets, and collaborate across teams to improve service.

Provide multi-channel customer support and proactive outreach to small business customers and accountants, resolving queries with empathy, using Salesforce and modern tools including Generative AI, meeting service levels and quality targets in a hybrid, shift-based schedule.

As an Engineering Manager, lead a team to enhance Xero's front end using modern technologies, focusing on team development and product delivery excellence.

Design and build scalable ML infrastructure and services to productionise models. Develop data orchestration pipelines, support real-time AI services, and collaborate with scientists and engineers to deliver LLM-powered features for millions of users.

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

The VP of Global Content will lead strategy and execution of content initiatives globally, manage a large team, ensure alignment with business goals, and leverage AI for efficient content production and measurement.