Jobs at REA Group

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.

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.

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.

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.

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, 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.