Top Tech Jobs & Startup Jobs

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.