Top Tech Jobs & Startup Jobs in Melbourne

Lead discovery, strategy, prioritization, and roadmap development for REA’s Data Mesh Enablement product. Partner with business stakeholders, data owners, engineers, and technology teams to define valuable, trustworthy, reusable data products. Establish governance, lifecycle management, discovery practices, workshops, playbooks, adoption processes, feedback loops, and value measurement across the enterprise.

Own lifecycle marketing analytics, reporting, dashboards, audience analysis, attribution, data-quality investigations, campaign measurement, marketing mix modelling, and enterprise forecasting. Partner with marketing and data teams to translate complex analysis into actionable recommendations, maintain trustworthy data assets, and improve analytics operations using SQL, BigQuery, Tableau, and related tools.

Own and deliver integrated customer marketing campaigns, engagement programs, loyalty initiatives, events, and purpose-led fundraising activity. Lead work from strategy and briefing through creative development, channel execution, measurement, and optimization. Manage agencies, external partners, budgets, customer messaging, and cross-functional stakeholder relationships across marketing, product, design, culture, and sustainability teams. Use customer insights, market trends, and performance data to drive commercially effective, on-brand outcomes.

Account Partner supporting REA Group’s New Homes sales team by achieving revenue targets, developing sales proposals, managing client and agency relationships, identifying new business opportunities, monitoring the local property and digital advertising market, and delivering presentations. The role requires media sales experience, ideally in digital environments, knowledge of property development and advertising processes, strong communication and presentation skills, analytical ability, and proficiency with Microsoft Office and preferably Salesforce.

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.

Leads cyber governance, risk, and compliance activities across products, platforms, and initiatives. Designs GRC frameworks, coordinates control assurance, audits, remediation, regulatory compliance, third-party assessments, and risk reporting. Advises product and engineering teams on secure-by-design practices, supports incident preparedness, maintains risk and control registers, and drives security culture, automation, and continuous improvement.

Partner with data domain and product owners to build trusted, AI-ready data products. Coach teams on data ownership, governance, lifecycle management, quality, observability, and data-as-a-product practices. Translate enterprise standards into practical delivery guidance, identify cross-domain opportunities, communicate data health and business value, and provide feedback to platform teams. The role combines hands-on data engineering with stakeholder management, capability uplift, and influence across a federated environment.

Manage the migration of lifecycle campaigns from Salesforce Marketing Cloud to Braze, focusing on B2B customer journeys for real estate agencies and agents. Responsibilities include audience targeting, campaign development, personalization, testing, scheduling, launch management, performance analysis, and optimization. The role collaborates cross-functionally to prioritize campaigns, maintain customer journey continuity, identify opportunities, and improve engagement and conversion through data-driven experimentation.

Owns end-to-end lifecycle marketing campaigns for Mortgage Choice using HubSpot, including audience segmentation, workflows, personalized email communications, QA, launch, reporting, testing, and optimization. The role supports lead nurture, retention, refinance, reactivation, and broker engagement journeys while troubleshooting platform, HTML, data, workflow, and deliverability issues. It also develops content, coordinates compliance reviews, supports stakeholders and brokers, and explores AI tools to improve marketing efficiency and performance.

Lead the creation of REA’s residential machine learning capability, managing a distributed team across multiple product tribes. Set technical direction, engineering standards, delivery practices, and team ways of working. Provide guidance on ML, data science, data engineering, architecture, evaluation, governance, and operational excellence. Partner with product, design, and AI teams to deliver pragmatic AI/ML products using NLP, LLMs, semantic search, and related technologies.