Jobs at carsales.com.au

Provides cross-team architectural direction for the data platform, shapes technical strategy, establishes engineering standards, oversees platform modernization, mentors engineers, and resolves complex cross-domain problems. The role partners with product and engineering leadership, leads technical discovery, represents the data platform in architecture forums, and evaluates emerging technologies including AI-augmented engineering. It is an individual contributor role with informal mentoring responsibilities.

Own and evolve major areas of the data platform, ensuring reliability, quality, scalability, and cost efficiency. Lead Snowflake performance tuning, dbt model architecture, testing, and incremental strategies. Design fault-tolerant pipelines with strong observability and governance, resolve incidents, translate business needs into engineering solutions, and mentor team members. Evaluate AI tooling with attention to responsible use, reliability, privacy, and auditability.

Leads end-to-end B2B marketing campaigns and dealer customer communications for SaaS products and automotive marketplace programs. Responsibilities include campaign planning, product go-to-market support, customer contact strategy, events, agency management, stakeholder coordination, performance optimisation, and people management. The role translates customer and business needs into commercially effective marketing activity while remaining hands-on in execution.

Manage the full lifecycle of digital advertising campaigns for automotive dealer clients, from briefing and setup through launch, monitoring, and optimisation. Configure Google, Meta, and automotive inventory campaigns; coordinate delivery teams; QA ad copy, landing pages, tracking, and feeds; analyse KPIs; optimise bids, keywords, audiences, and creative; troubleshoot campaign issues; and support advertising sales and revenue growth through consultative B2B client engagement.

Analyze customer behavior and transactional data to generate marketing insights, KPI reporting, visualizations, attribution models, and marketing mix analyses. Extract data using SQL, collaborate with marketing, product, and data stakeholders, identify opportunities, support budget decisions, and communicate actionable findings across digital, consumer, commercial, content, and customer marketing teams.

The Sales Support Specialist will assist the national sales team with contract preparations, billing investigations, compliance management, and data analysis while supporting team onboarding and training efforts.

Manage relationships with key dealer, manufacturer, and agency accounts; develop digital media and advertising solutions; generate new business; manage sales pipelines; present insights and results; and coordinate campaigns to meet client expectations and grow membership and media revenue.

Build and maintain sales dashboards, reporting packs, forecasts, and target-setting analyses. Support commission and incentive administration, maintain CRM and reporting data integrity, identify workflow improvements, and provide analysis for pricing, deal structuring, and margin decisions. Partner with sales, finance, marketing, customer support, and leadership to translate commercial data into actionable recommendations that improve productivity, revenue outcomes, and customer experience.

Lead strategic discovery across CAR Group marketplaces: run customer journey research, translate unmet needs into opportunity areas, prototype and test concepts, design lean experiments, and synthesize evidence into recommendations and pitches. Partner with product, data, tech, commercial and regional teams and use AI-enabled tools to accelerate research and prototyping.

Lead discovery and validation of new high-growth marketplace opportunities. Design and run experiments, prototype rapidly (including AI-enabled solutions), analyze user and market data, balance buyer and seller needs, build partner relationships, and present product vision to senior stakeholders to secure funding and scale.

Lead and execute engineering for Machines4U: translate business priorities into roadmaps, manage a distributed team, modernise legacy systems, oversee platform integrations, ensure security/reliability/compliance, and partner with product and group engineering to deliver commercial outcomes.

Lead product vision and strategy for the Industry & Equipment channel, optimise buyer and seller experiences, run experiments to validate ideas, use data to inform decisions, align cross-functional teams, manage dependencies, and influence senior stakeholders to drive growth and commercial outcomes.

Manage a portfolio of ~300 dealer customers as their primary contact, using data-driven insights to improve adoption, retention and growth. Provide strategic guidance, educate on product best practices, identify upsell opportunities, and collaborate with Sales, Advertising and Onboarding teams to deliver exceptional customer outcomes.

Lead product strategy and execution for AI and personalisation initiatives. Define vision, prioritise experiments, optimise channel performance, and drive measurable commercial growth through cross-functional collaboration, data-driven decisions, and stakeholder influence.

Lead and grow an engineering team delivering scalable, high-availability marketplace products. Guide system design, review critical work, drive delivery, embed modern practices (CI/CD, IaC, containers, automation and AI-enabled development), and own production performance, reliability, cost and optimisation while partnering with Product, Design and Data.

Senior full-stack engineer working in a hybrid squad to design, build, automate, and support high-availability dealer-facing products. Responsibilities include planning, code review, testing, mentoring engineers, implementing automation and auto-remediation, and collaborating with Product and Design to deliver scalable, event-driven distributed systems.

Lead MLOps efforts to productionise ML on AWS, design reproducible pipelines, implement deployment/versioning patterns, close the loop on model telemetry, optimise cost and security, and mentor data science and ML engineers.

Design, build and support high-availability, low-latency distributed systems for dealership customers. Contribute across the software lifecycle using agile practices: backend .NET development, frontend work (Angular/React), event-driven architecture, AWS, performance tuning, DevOps, monitoring, and continuous improvement.

The Business Development Manager will foster client growth through relationship building and consultative approaches, providing data-driven insights and achieving sales targets.