Top Tech Jobs & Startup Jobs in Melbourne

Lead company-wide strategic and operational initiatives: shape long-term strategy, run annual planning, OKRs and Board reporting, produce market intelligence, perform quantitative analysis and business cases, drive governance and cross-functional execution, and apply AI tools to improve ways of working.

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 strategic planning, market intelligence, and operational rhythms (annual planning, OKRs, Board reporting). Structure ambiguous problems with quantitative analysis, build business cases, run governance and cross-functional delivery, and embed AI-enabled ways of working to improve speed and quality of outputs.

Lead design and implementation of AI research and production infrastructure. Mentor junior engineers, and collaborate to enhance data usability, solving complex technical challenges.

Lead multiple product teams to define and execute strategy for identity, authentication/authorization, fraud detection and core platform reliability. Set vision for scaling Xero to larger businesses, drive cross-functional alignment, coach product managers, manage roadmaps, launch and iterate products, and ensure security, compliance and commercial outcomes.

Design, build, and operate scalable data platform pipelines and models using Snowflake, dbt, Prefect, Flink and AWS. Own end-to-end platform components, apply IaC with Terraform, implement CI/CD and testing, manage production systems, monitoring and incident response, and improve data quality and self-service capabilities for downstream teams.

Lead end-to-end mobile product strategy and roadmaps, run customer research, define success metrics and OKRs, manage lifecycle and compliance, and deliver AI/automation features that improve customer and commercial outcomes while coaching teammates.

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 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.

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.