Jobs at REA Group

Supports implementation of the risk management framework across Customer & Consumer and Product portfolios. Provides risk and compliance advice, facilitates risk workshops, assesses change and technology-related risks, maintains risk profiles and controls, supports incident and audit-action management, reports risk exposures, and promotes risk-aware culture through collaboration with business leaders and specialist functions.

Lead end-to-end product design for seller-lead experiences used by agents, agencies, sellers, and property owners. Partner with Product and Engineering to identify opportunities, conduct research, prototype, deliver, and iterate across web and native apps. Use data and experimentation to measure impact, contribute to squad strategy, strengthen design systems, mentor designers, participate in critiques, and influence stakeholders in a collaborative agile environment.

Own REA’s FinOps product capability, including strategy, roadmap, dashboards, cost insights, alerts, governance, and adoption. Partner with Finance, Engineering, Procurement, Legal, Risk, cloud providers, and vendors to improve cloud spend reporting, forecasting, optimization, savings, and software and SaaS lifecycle decisions. Translate complex technical and financial information into actionable insights and influence stakeholders across the organization.

Design end-to-end consumer experiences for Realcommercial.com.au across responsive web and native mobile apps. Partner with product, engineering, research, data, and commercial teams to conduct research, define opportunities, create prototypes and high-fidelity designs, and deliver pragmatic solutions. Contribute to product strategy, design systems, customer journeys, prioritization, and continuous improvement across web, iOS, and Android platforms.

Lead product strategy and roadmaps for AI Enrichment and Listings Enrichment squads. Own audience modelling and segmentation vision, prioritize data and ML capabilities, build investment cases, and balance reusable platform development with near-term outcomes. Partner with product, engineering, and data science teams on model lifecycles, experimentation, evaluation, monitoring, and adoption. Champion data quality, privacy, responsible AI, and measurable business impact across REA’s consumer and customer experiences.

Provides front-line technical support for iGUIDE customers through phone, email, and ticketing systems. Troubleshoots hardware, capture, processing, and Portal issues; supports onboarding and training; maintains guides and knowledge-base content; monitors cases; documents escalations; and shares recurring issues and feedback with Product, Engineering, Solutions Engineering, Sales, and Marketing.

Lead REA Group’s Data Mesh implementation across multiple squads and domains. Define technical strategy, architecture, governance, and platform capabilities that enable discoverable, trustworthy, secure, and useful data products. Partner with engineering and business leaders, validate solutions, solve complex operational challenges, explore emerging data technologies, and mentor experienced engineers. The role requires hands-on technical leadership, cross-functional influence, cloud expertise, and long-term architecture planning.

Lead the New Homes Engage squad and Project Profile roadmap, improving discoverability, search, recommendations, content, and project updates. Develop product strategy, prioritize initiatives, and partner with engineering, design, sales, marketing, and customer operations to deliver customer and commercial value. Monitor performance, optimize pricing and packaging, support launches, manage risks, and align cross-functional teams around measurable outcomes.

Build and maintain full-stack web products for real estate advertising and value platforms. Collaborate with engineering leaders and distributed teams on technical design, delivery planning, cloud-based systems, and continuous improvement. Apply modern software development practices, including functional and object-oriented programming, test-driven development, CI/CD, agile delivery, and pair programming. Contribute to microservices, distributed systems, APIs, event-driven architectures, and data pipelines.

Contributes to developing, evaluating, deploying, and monitoring machine learning solutions, including recommendation and prediction models. Builds batch and real-time ML pipelines using Python, cloud tools, and ML frameworks. Collaborates with senior engineers, data scientists, and product teams to bring AI features from prototypes into production while developing practical machine learning expertise.

Provide sales support to New Homes sales teams, handling pre- and post-sales tasks across multiple systems to meet SLAs. Deliver timely customer and employee experiences, execute operational processes, manage ticket/queue workflows, maintain accuracy in bookings and documentation, escalate issues appropriately, and use Zendesk, Salesforce and AI tools to improve efficiency.

Product Designer responsible for shaping editorial, media, and advertising experiences across REA’s digital products. The role leads discovery, interaction design, prototyping, delivery, and iteration while partnering with product, engineering, commercial, data, editorial, and content teams. Responsibilities include improving ad performance, designing consistent editorial experiences, contributing to design-system patterns, using research and performance data, and promoting user-centered design practices.

Leads the vision, strategy, roadmap, and adoption of REA’s enterprise data platform. Drives data mesh evolution, self-service capabilities, governance, reliability, security, and data quality. Partners with engineering, architecture, data, product, design, and business stakeholders to prioritize opportunities, evaluate build-buy-partner decisions, and deliver measurable outcomes. Serves as a strategic advisor to senior leaders while improving data literacy, platform usability, and enterprise data-product adoption.

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.

Supports the CCMO through complex diary and travel management, meeting preparation, correspondence, reporting, event and project coordination, technology troubleshooting, and confidential communications. The role requires managing competing priorities, coordinating domestic and international activities, preparing presentations and materials, supporting executive productivity, and collaborating with other executive assistants in a fast-paced hybrid environment.

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.

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.