Jobs at REA Group

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.

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.

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.

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.

Lead the design, development, deployment, and operation of scalable AI/ML products and platforms. Own the full machine learning lifecycle, including experimentation, evaluation, inference, monitoring, and optimization. Develop LLM, retrieval, ranking, relevance, and generative AI solutions using Python, AWS, SQL, Airflow, Kafka, and BigQuery. Set technical direction, establish evaluation frameworks, improve engineering practices, mentor engineers, and promote reliable, ethical, and compliant AI/ML delivery.

Lead product discovery, prioritization, delivery, and measurable outcomes for Mortgage Choice’s broker and client lending experiences. Own application capture, data quality, submission flows, commissions, integrations, and platform evolution. Collaborate with engineering, design, risk, compliance, operations, and distributed squads to improve adoption, application quality, conversion, and settlement outcomes. Drive stakeholder alignment, product measurement, launch readiness, and strategic investment decisions across the home-loan origination lifecycle.

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.

Produce high-volume vertical property walkthrough videos for realestate.com.au, filming up to 12 listings weekly with agency partners. Edit content as needed, travel extensively across the city, build relationships with internal and external partners, and educate agencies on producing compelling walkthroughs. The role requires strong storytelling, rapid delivery, effective communication, adaptability, and proficiency with iPhone filming and Adobe post-production tools.

Produces high-volume vertical property walkthrough videos for realestate.com.au, including filming, editing, storytelling, partner collaboration, and on-the-ground education. The role requires shooting up to 12 videos weekly, meeting tight deadlines, traveling extensively across Perth, and maintaining relationships with internal teams and agency partners.

Manage a portfolio of real estate agency accounts for CampaignAgent, driving onboarding, product adoption, engagement, retention, and long-term partnerships. Responsibilities include training customers, monitoring utilization trends, resolving issues, communicating product updates, supporting upgrades, and collaborating with sales, technology, marketing, and support teams. The role is remote-friendly but may involve office attendance and interstate client travel.

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.

Develop statistical and machine learning models for property valuation and market insights. Responsibilities include assembling and cleaning large datasets, engineering features, tuning and validating models, creating visualisation tools, deploying models to production with ML Engineers, documenting work, and presenting findings. The role uses Python, SQL, AWS, BigQuery, Docker, and related data science technologies in a collaborative team.

Leads consumer lifecycle marketing strategy and personalization across email, SMS, push, and app channels. Builds segmented, data-driven campaigns, trigger programs, and transactional messaging; defines OKRs, monitors performance, and optimizes conversion and retention. Manages a team of three campaign specialists, partners with product and marketing operations teams, oversees roadmaps and dependencies, and communicates business impact. Requires strong consumer insights, experimentation, visualization, project management, and lifecycle marketing expertise.