Top Technology Jobs & Startup Jobs in Sydney

Lead product strategy, roadmap, and delivery for SME embedded payables. Drive discovery, validation, and prioritisation across supplier payments, AP automation, FX and bills. Collaborate with engineering, data, finance, risk, partners and customers to launch workflow-native, commercially viable solutions and track outcomes.

Design, build and deploy LLM- and foundation-model-based ML systems for document understanding, forecasting and conversational interfaces. Own end-to-end MLOps workflows, optimise for scalability, safety and reliability on AWS, and collaborate with product and engineering to take features from concept to production.

Lead Voice of Customer and partner strategy, design end-to-end customer journeys, govern high-risk issues, drive cross-functional resolution, run root-cause analysis and systemic improvements, and build a high-performing CX team to improve retention, loyalty, adoption, and cost-to-serve.

Lead a small AI engineering team to design, build, deploy and monitor LLM- and foundation-model-based ML systems for MYOB's SaaS platform. Implement MLOps best practices on AWS (SageMaker, Bedrock, S3), optimise for scalability, safety and reliability, and drive projects from ideation to production while collaborating with product and engineering stakeholders.

Lead front-end delivery for SaaS products: define architecture and design systems, implement accessible, performant, and secure React/TypeScript UIs, embed testing and observability, mentor engineers, collaborate with Product and Design, and improve platform/pipeline for developer experience and reliability.

Own the full sales cycle for mid-market B2B SaaS: prospect, build pipeline, forecast, and close multi-stakeholder deals with HR, Finance, IT, Legal, and executives. Partner with SDRs and cross-functional teams to develop business cases, progress complex deals, and consistently hit revenue targets.

Design, build, and support scalable, observable data pipelines and infrastructure. Prepare structured data and metadata for AI/analytics, partner with engineers and data teams, champion data quality and governance, and drive continuous improvement in data platform capabilities.