Jobs at REA Group

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.

Leads enterprise-wide strategy workstreams, developing financial models, market sizing, competitor analysis, scenario assessments, and strategic recommendations. Creates executive-ready materials, supports corporate and business-unit strategy, maintains dashboards and governance, contributes to Board and investor briefings, and influences senior stakeholders across the organization.

Design customer-focused digital products for REA’s advertising and value platforms. Responsibilities include user research, sketching, prototyping, UI, motion and interaction design, accessibility validation, workshop facilitation, stakeholder collaboration, and iterative delivery with Product and Engineering teams. The role also involves applying systems thinking, maintaining alignment with REA’s design system, and creating usable, desirable, and commercially feasible solutions in an agile environment.

Contributes to the full software development lifecycle, including designing, coding, testing, deploying, maintaining, and troubleshooting secure and scalable systems. Develops automated tests, participates in code reviews and agile ceremonies, resolves defects, supports production reliability, documents technical work, and collaborates with product, design, and business stakeholders. The role also emphasizes continuous learning, effective communication, and adherence to engineering, security, compliance, and change-management standards.

Manage and optimize B2B customer lifecycle marketing campaigns and personalized journeys across Salesforce Marketing Cloud and Braze. Responsibilities include solution design, campaign builds, data management, platform administration, QA, deliverability, compliance, documentation, stakeholder management, process improvement, and technical support. The role also contributes to Braze migration activities, trains marketing teams, supports agile delivery, and develops scalable CRM and marketing automation solutions.

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.

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.

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.

Design, build, test, release, and support Android features using Kotlin. Collaborate with Product, Design, and subject-matter experts to deliver user-focused functionality. Own features end-to-end, including performance, accessibility, analytics, experimentation, observability, and reliability. Contribute to shared mobile platform standards, code reviews, documentation, release support, and knowledge sharing while working in an agile, cross-functional squad.

Own the full SMB sales cycle for Planitar’s iGUIDE solutions in Australia, from prospecting and outreach through discovery, demonstrations, negotiation, closing, and follow-up. The role targets real estate, AEC, and insurance professionals, manages pipeline data in CRM systems, nurtures leads, educates customers, and identifies larger opportunities for handoff. Success requires consultative selling, strong communication, organization, product learning, persistence, and achievement of sales targets.

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.

Staff Software Engineer leading architecture, technical strategy, and development for REA’s high-scale AdTech ecosystem. The role involves building backend APIs, data pipelines, and event-driven systems; conducting technical discovery and research; solving complex performance and architecture challenges; supporting production systems; and mentoring engineers. The successful candidate will help shape ad serving, programmatic infrastructure, identity, and audience platforms while partnering with Product, Sales, Ad Operations, and Engineering leadership.

Leads REA Group’s New Homes editorial strategy across sponsored and organic content, including articles, podcasts, social, and video. Manages a team of three and freelance contributors, oversees content roadmaps, and uses data, SEO, and audience insights to optimize performance. Partners with developers, Sales, Account Management, Product, and Lifecycle teams to support audience growth, client value, revenue objectives, sales presentations, and premium content proposals.

Provide frontline customer support through phone, email, and web chat. Resolve issues empathetically, manage multiple systems in a fast-paced environment, collaborate across teams, and identify improvements to customer and employee experiences. The role also involves gathering product feedback, making decisions to resolve problems, and driving customer loyalty and operational excellence.

Build and maintain AI-powered content moderation services, including detection pipelines, LLM-based evaluation, APIs, data workflows and reviewer tools. Contribute to design, delivery, production support, and responsible use of AI.

Owns enterprise strategic workforce planning, including three-year supply and demand forecasting, capability taxonomy, scenario modelling, workforce and location strategy, and organization design governance. The role establishes workforce planning as an enduring capability, advises executive leadership, defines talent system architecture for mobility and succession, and develops capability-gap strategies across build, buy, bot, borrow, and bond. It also coaches People and Talent teams and builds support for future workforce analytics capabilities.

Lead architecture and delivery of scalable data solutions across squads. Design and optimise ETL/ELT workflows, mentor engineers, collaborate with data scientists and stakeholders, drive data modelling, orchestration, governance and strategic roadmap for the data platform.

Lead and support Customer Support leaders to deliver operational excellence across onboarding, fulfillment, support and payments. Drive metrics-driven performance, forecasting, capacity planning, process improvement, stakeholder collaboration and change initiatives to improve customer experience and scalable growth.

Design, implement, test and deploy cloud-based data products and services. Maintain and modernise systems, ensure reliability, security and scalability, build ETL/data pipelines, tune performance, and support production environments.

Lead and shape solution architecture across the Listings portfolio, stay hands-on with prototypes and critical code, align technical strategy across multiple squads, drive modernization and resilient platform solutions, participate in product discovery, and mentor senior engineers to elevate engineering practices and system health.