Top Tech Jobs & Startup Jobs in Melbourne

Build and lead Atlassian’s APAC implementation practice by hiring and developing delivery teams, leading pre-sales scoping, overseeing enterprise cloud implementations, and ensuring customer outcomes. Own portfolio quality, delivery governance, utilization, capacity, forecasting, margins, and operating discipline. Partner with Sales, Finance, Customer Success, Services Operations, and solution partners to scale implementation offerings across APAC. This player-coach role also involves hands-on customer engagements, technical discovery, and up to 30% regional travel.

Operate and improve highly available, fault-tolerant cloud services supporting Jira, Confluence, and Bitbucket. Build monitoring, dashboards, alerts, runbooks, automation, and reliability improvements. Debug and enhance backend code, optimize performance and scalability, reduce costs, and communicate technical issues to technical and non-technical stakeholders.

Leads and manages a mid-market sales team across Asia and ANZ, developing sales strategies, expanding market share, setting performance goals, recruiting and onboarding account executives, coaching sellers, analyzing sales trends, and collaborating with partners and internal teams to improve customer outcomes.

The Solution Sales Executive role is responsible for selling Atlassian solutions, likely focused on Jira Service Management and Jira Align. The provided description contains no detailed responsibilities or qualification requirements. The position is remote and based in Sydney, Australia, with potential eligibility for benefits, bonuses, commissions, and equity.

Build and improve core AI and machine learning infrastructure enabling teams to develop, train, evaluate, deploy, and operate ML models and pipelines. Design scalable distributed systems, support end-to-end ML lifecycles, implement MLOps automation, collaborate with product engineering teams, lead projects from design through launch, review code, document solutions, and mentor junior engineers. Work may include dataset curation, LLM fine-tuning, model serving, monitoring, and generative AI systems.

Design, build, deploy, and operate agentic LLM harnesses powering Rovo AI features. Improve production model quality, reliability, and cost; develop evaluations, datasets, benchmarks, fine-tuning, and model-serving capabilities. Shape long-term LLM engineering direction, lead technical initiatives, influence stakeholders, guide virtual squads, and coach junior engineers.