Top AI Jobs in Melbourne

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Serve as a trusted technical advisor to ANZ prospects and customers, leading discovery, demonstrations, solution design, proofs of value, workshops, and technical evaluations. Partner with Account Executives to support customer acquisition and expansion, advise on DevSecOps, cloud, security, and software development practices, and communicate customer feedback to internal teams. Build long-term relationships, guide digital transformation, and support GitLab platform adoption.

Design and build scalable data solutions spanning ingestion, modelling, pipelines, and platform infrastructure. Own complex technical problems, improve data quality and self-service capabilities, and operate production systems with monitoring and incident response. Use Snowflake, dbt, Prefect, AWS, Terraform, and Flink to develop reliable data platforms and real-time products. Collaborate with product, security, engineering, and data-consuming teams while promoting automation, testing, CI/CD, and modern engineering practices.

Lead modernization of a global marketing data platform by replacing legacy architecture, unifying fragmented data sources, and embedding AI into data products and workflows. Translate commercial strategies into technical requirements, prioritize incremental product delivery, collaborate with engineering and applied science teams, and deliver reporting improvements for sales, marketing, and customer support.

Leads production application support for business-critical financial systems, overseeing incident management, root-cause analysis, releases, change coordination, UAT, compliance, audit readiness, and data governance. The role also develops AI-driven automation and self-service tools, manages support backlogs, and coaches application support staff in troubleshooting, SQL, and operational practices.

Design, develop, test, and deploy autonomous behaviors for uncrewed aircraft. Build sensor-fusion solutions, autonomy systems, and task and motion planning capabilities using real-world sensor data and high-fidelity simulations. Integrate autonomy products with third-party aircraft and systems, contribute to architecture and code quality, collaborate across AI, robotics, and systems teams, and mentor junior engineers.

Supports corporate reputation, public affairs, ESG, and strategic communications engagements through research, client briefings, media releases, stakeholder mapping, message development, ESG reporting, and business development. The role requires managing multiple client accounts, contributing to meetings and campaigns, monitoring industry trends, and producing high-quality written and analytical materials with limited supervision.

Analyze sales and labor performance to identify productivity opportunities and build demand-based workforce planning models. Develop venue segmentation, labor benchmarks, and forecasting models that translate sales drivers into required labor hours. Support workforce planning tooling discovery, communicate actionable insights to operational leaders, and help Finance track post-implementation benefits. The role requires strong SQL, cloud, visualization, predictive analytics, and workforce management experience, with travel to venues.

Design, implement, test, and deploy autonomous behaviors for uncrewed aircraft. Develop sensor-fusion and perception solutions using real sensor data, validate systems through software- and hardware-in-the-loop simulations, and integrate autonomy products with third-party aircraft and systems. Collaborate across AI, robotics, and systems engineering teams, contribute to architecture and code quality, and mentor junior engineers.

Design, develop, test, and deploy autonomous behaviors for uncrewed aircraft. Build sensor-fusion and autonomy solutions using real sensor data, validate systems through software- and hardware-in-the-loop simulations, and integrate autonomy products with third-party aircraft and systems. Collaborate across AI, robotics, and systems engineering teams while contributing to architecture, code quality, design reviews, and engineering best practices. Lead and mentor junior engineers.

Design, develop, test, and deploy autonomous behaviors for uncrewed aircraft. Build sensor-fusion solutions, autonomy systems, and high-fidelity software and hardware-in-the-loop simulations. Integrate autonomy products with third-party aircraft and systems, collaborate across AI, robotics, and systems engineering teams, contribute to architecture and code quality, and mentor junior engineers.

Provides hands-on technical leadership across Business Banking technology, designing platforms, reusable tools, engineering standards, automation, and developer self-service capabilities. Partners with delivery squads and central technology teams to improve software delivery, DevSecOps, cloud adoption, observability, reliability, performance, security, and cost optimization. Mentors senior engineers and promotes AI-powered engineering practices, scalable guardrails, and consistent technology outcomes.

Advise product and engineering teams on privacy, data protection, IP, AI, online safety, marketing, platform, competition, and consumer laws. Counsel on AI products, partnerships, go-to-market strategies, and consumer terms; develop AI policies, legal frameworks, playbooks, and scalable review processes. Support privacy and data security incident response, monitor global regulations, and collaborate with international stakeholders across legal, privacy, security, product, engineering, and marketing teams.

Supports firm-wide pricing strategy, commercial analysis, profitability reviews, alternative fee arrangements, and client pricing decisions. Coordinates pricing and rates operations, maintains agreement records, implements billing instructions, monitors rate changes, and supports annual reviews and renewals. The role also improves data quality, reporting, templates, automation, and pricing processes while providing guidance to business stakeholders.

Own enterprise business development and sales for Quantium’s scam, fraud, and identity API across banks and financial services organizations. Build target-account pipelines, create demand, manage complex multi-stakeholder sales cycles, negotiate contracts, and close deals. Develop executive relationships across fraud, risk, financial crime, product, and technology teams while shaping market positioning, monitoring regulatory and competitive trends, maintaining forecasts, and collaborating with product, marketing, pre-sales, and customer success teams.

Develop and maintain reliable, secure cloud software and ML infrastructure for Azure operations. Responsibilities include gathering requirements, contributing to architecture, coding, code review, testing, deployment, telemetry integration, data analysis, live-service operations, on-call support, automation, and security and compliance improvements. The role emphasizes AI-powered operational autonomy, extensibility, maintainability, and collaboration across Microsoft teams.

Lead data and AI governance initiatives by evolving governance frameworks, creating practical guidance, delivering literacy programs, and partnering with technical, privacy, regulatory, risk, and business teams. The role focuses on responsible AI adoption, data stewardship, quality, lineage, transparency, explainability, bias mitigation, regulatory alignment, and translating policy into scalable technical and operational practices.

Develop and execute sales plans across the ANZ region, prospect for new business, build executive-level client relationships, demonstrate products, negotiate contracts, close deals, and achieve sales quotas. The role also involves collaborating with technical teams, monitoring market trends, forecasting sales, and representing the company at business events and conferences.

Build and operate AI enablement platforms, internal skills marketplaces, and AI tool distribution systems used by engineering teams. Develop agent skills and remediation agents, establish AI engineering best practices, and manage production reliability through monitoring, runbooks, and rollback planning. Collaborate with AWS, Microsoft, and GitHub on early-access technologies while influencing technical direction and supporting a growing AI-focused team.

Own regional enterprise sales across Australia, identifying prospects, generating leads, managing the full sales cycle, and closing high-value data, cloud, and AI transformation programs. Build strategic partner relationships, develop market presence, engage senior decision-makers, and promote AI-first business strategies. The role targets ASX 200 companies and government sectors while leveraging alliances with AWS, Microsoft, Databricks, and Anthropic.

Build and manage Pattern’s Australian strategic partner ecosystem across ecommerce, martech, agencies, and technology providers. Generate partner-sourced pipeline through referrals, co-selling, joint marketing campaigns, events, and account planning. Own partner relationships, activate new partnerships, coordinate go-to-market initiatives, and track commercial performance. Collaborate closely with Sales and Marketing to convert partner relationships into qualified opportunities and measurable revenue growth.

Drives revenue by prospecting, qualifying, and closing new B2B accounts within an assigned territory. Presents and demonstrates Darktrace’s AI-driven cybersecurity solutions to information security experts and C-level executives, while partnering with marketing, inside sales, channel teams, technical experts, and cyber threat analysts to deliver proof-of-value engagements and manage client relationships.

Manage influencer partner vetting and ongoing monitoring for beauty brands, identifying reputational risks and ensuring compliance with brand values and TGA guidelines. Optimize compliance workflows using Traackr and AI solutions, collaborate with advocacy, legal, and PR teams, produce compliance reporting, and deliver training to internal stakeholders and external partners.

Leads the strategy, roadmap, delivery, lifecycle, adoption, governance, security, and measurement of enterprise data products. Translates business priorities into delivery plans, manages backlogs and dependencies, coordinates engineering and external partners, and ensures data products are trusted, usable, compliant, and valuable. The role also advances a Data as a Service model and supports cross-functional stakeholder alignment across data, technology, analytics, and business teams.