Jobs at Ofload

Lead and improve the finance function: manage month- and year-end close, consolidated AASB/IFRS reporting, controls, audits, tax and treasury. Oversee NetSuite implementation, drive technical accounting (revenue, leases, capitalised development), support M&A due diligence and integration, and manage a Sydney-based finance team to build IPO-ready processes and scalable finance operations.

Hands-on Senior Financial Accountant responsible for month-end close, revenue and COGS recognition, consolidated balance sheet reconciliations, audit and tax coordination, drafting technical accounting papers, and driving process improvements while collaborating across the business to ensure accurate, compliant financial reporting.

Trusted advisor to leaders, supporting growth, change, organisational design, workforce planning, performance management, employee relations, engagement, and people data analysis. Deliver people initiatives, facilitate workshops, ensure accurate people data, improve people practices, and apply Australian employment law to coach leaders and scale teams.

Lead and scale finance operations including AP/AR, treasury, reconciliations and month-end close. Manage multi-location teams, drive touchless invoicing and automation, own customer and carrier onboarding/go-lives, partner with Product/Tech for systems, and strengthen controls, reporting and working capital performance.

Support FP&A by producing forecasts, analysing revenue, margin and OPEX drivers, improving budgeting and month-end reporting, identifying financial trends and opportunities, partnering with cross-functional teams, and helping automate FP&A tooling and investor/board reporting.

Build a greenfield, scalable data platform: design warehouse and schemas, develop ETL/ELT and real-time pipelines, own metrics and data quality, optimise tooling, and partner with Product, Engineering, BI and Finance. Mentor a junior engineer and shape data strategy to support BI, analytics and future AI use cases.

Build and maintain scalable AWS data pipelines and warehousing for analytics and ML. Deploy and monitor production ML models with SageMaker, optimise AWS infrastructure for performance and cost, and collaborate with Engineering, Data Science, and BI to deliver trusted data, feature engineering, and prediction/recommendation systems.