Top Technology Jobs & Startup Jobs in Sydney

Own and grow relationships with tier 1–3 customers across a defined portfolio and territory. Identify customer needs, create growth opportunities, support retention and product upgrades, lead quarterly business reviews, and develop strategic portfolio plans. Coordinate with Customer Success, Sales Support, and internal specialists to deliver customer value, strengthen product engagement, and grow existing revenue.

Design, build, test, deploy, and monitor reliable AI/ML products and services at scale. Develop real-time and batch data pipelines, optimize ranking and retrieval models using embeddings, transformers, and LLMs, and establish evaluation, observability, and model lifecycle management practices. Collaborate across product, engineering, data, and consumer experience teams while contributing to scalable ML platform capabilities.

Lead REA Group’s enterprise industry partnerships, sponsorships, and customer training strategy. Build strategic relationships that drive revenue, product adoption, and advocacy; establish commercial structures and success measures; and develop scalable training across customer segments. Own strategic roadmaps, OKRs, partnership lifecycles, customer enablement programs, and measurement frameworks while influencing senior stakeholders across Product, Sales, Marketing, Customer Success, and other business functions.

Sources and qualifies new sales opportunities for Realtair by conducting outbound and inbound prospecting, researching real estate prospects, managing the sales pipeline, scheduling meetings and demos, and supporting account directors. Builds prospect relationships, conducts discovery sessions, identifies customer needs, supports upsell opportunities, and collaborates with marketing and sales teams to improve lead generation and sales processes.

Develop, test, deploy, and operate machine learning pipelines and AI products using Python, SQL, cloud platforms, and infrastructure-as-code tools. Build generative AI and traditional ML solutions, prototype proofs of concept, analyze data quality and coverage, and support dashboards and reporting. The role follows agile engineering practices, including test-driven development, continuous delivery, pair programming, and shared DevOps ownership.