Jobs at CoStar Group

Manage a high-revenue portfolio of residential real estate agency clients across Sydney’s Lower North Shore. Responsibilities include consultative solution selling, full-cycle account management, product adoption, contract execution, performance reporting, client presentations, relationship development, business growth initiatives, issue resolution, and market feedback. The role requires autonomous B2B selling, negotiation, public speaking, client travel, and the ability to communicate product value and ROI.

Leads commercial strategy and long-term vision for developer advertising products, including automation roadmaps, yield optimization, market growth, and go-to-market execution. Manages media specialists and contractors, partners with Product, Technology, Sales, and Media teams, and drives operational excellence across digital buying tools, measurement solutions, and advertising workflows.

Leads a team of research professionals responsible for maintaining accurate commercial real estate market data and portfolio analytics. Oversees company and property research, data collection, audits, publication workflows, market coverage, and client-focused reporting. Partners with sales and product teams to align research with market needs, develops territory improvement plans, and coaches team members to achieve performance goals and maintain high data quality.

Reports daily on commercial real estate across New South Wales and Queensland, covering breaking news, transactions, market trends, and economic developments. Uses proprietary datasets and analytics to create data-driven stories, visualizations, and features. Builds industry contacts, sources exclusive leads, collaborates with the newsroom, and applies digital journalism, SEO, social media, and CMS expertise to produce accurate, timely content.

Provide technical and account support for Matterport, a 3D spatial data platform used by real estate agencies. Manage customer enquiries by phone, live chat, and email; troubleshoot issues; educate clients on product capabilities; improve customer loyalty; translate feedback into process and product improvements; and support Sales and Implementation teams. The role requires resilience, empathy, communication, problem-solving, confidentiality, and comfort learning new technology.

Leads the full lifecycle of medium-sized software projects, including architecture, development, testing, deployment, production support, and continuous improvement. Writes and reviews secure, production-ready code, resolves technical issues, mentors junior engineers, and collaborates with product owners and cross-functional teams. The role focuses on digital marketing and audience amplification platforms using modern cloud, microservices, event-driven, frontend, database, DevOps, and application security technologies.

Lead operations, maintenance, security, performance, and lifecycle management for complex AWS cloud environments. Serve as the primary escalation point for incidents, enforce identity and access controls, optimize costs and reliability, modernize architectures using AWS Well-Architected principles, and automate manual work. Lead and mentor cloud engineering teams, manage vendors, apply ITIL practices, and build strong client and stakeholder relationships.

The Account Executive will drive new sales and grow existing accounts, delivering presentations, managing sales processes, and collaborating with marketing. They need a solid track record in SaaS sales across various industries and will create their sales pipeline.

No responsibilities or technical details are provided in the posting beyond the job title. The listing only identifies the role as Senior Software Engineer and includes an equal opportunity and drug-free workplace statement.

Design, build and operate scalable Lakehouse data platform and batch/real-time pipelines. Develop data assets, streaming solutions (Kafka/Flink), ETL/ELT workflows (Airflow, DBT), and cloud-native architectures on AWS, Snowflake and Databricks. Optimize SQL and Spark workloads, manage schema and performance for Iceberg tables, enforce data quality and governance, and partner with data science, analytics and product teams to deliver cost-efficient, reliable data solutions.