Top AI Jobs in Melbourne

Lead New Relic’s ANZ Acquisition Sales team, driving enterprise and commercial new-logo growth. Responsibilities include developing sales strategy, recruiting and coaching Account Executives, managing strategic C-suite relationships, creating account penetration plans, coordinating cross-functional teams, maintaining pipeline and forecast discipline, and increasing platform adoption and consumption-based revenue. The role requires SaaS sales leadership experience in the ANZ technology market and expertise in complex enterprise acquisition.

Leads New Relic’s ANZ acquisition sales organization, owning new-logo strategy, enterprise account penetration, pipeline management, forecasting, and revenue growth. Recruits, coaches, and develops enterprise and commercial Account Executives while building executive relationships with CTOs, CIOs, CFOs, and CEOs. Partners cross-functionally with Marketing, Product, Customer Success, Solution Consulting, and Alliances to drive customer acquisition, platform adoption, consumption, and business value.

Lead Riskified’s APAC Business Development team and define regional expansion strategy. Responsibilities include managing and developing business development representatives, using AI to scale personalized outreach, improving prospecting efficiency, researching target industries and companies, partnering with sales leadership, representing the company at industry events, and building relationships across the payments industry. The role requires people-management experience in Japan or Australia, complex sales leadership experience, strong analytical ability, English fluency, and ideally Japanese fluency.

Lead product strategy for core cloud platform capabilities, manage and mentor product managers, drive architectural transformations (agent-first platform, multi-region cloud), modernise databases to managed cloud services, define customer journeys, and collaborate with cross-functional stakeholders to prioritise and deliver scalable infrastructure features.

Build and rapidly deploy internal AI-powered tools and automations that reduce operational toil. Integrate Jira, Confluence, Workday, and data warehouses through APIs; automate reporting, headcount management, and roadmapping workflows; evaluate custom, low-code, and SaaS solutions; prototype scalable AI-enabled improvements; and mentor operations teams in modern AI tooling.

Lead strategy and execution for Xero’s AI Shared Services platform, including eventing, communications, search, and related reusable capabilities. Define the domain roadmap, establish success metrics and dashboards, build stakeholder relationships, and drive adoption across product and engineering teams. The role requires managing interdependent platform products, applying technical fluency across distributed systems and cloud environments, making investment cases, navigating ambiguity and dependencies, and growing high-performing people and teams.

The Solutions Engineer partners with Sales and cross-functional teams to win complex enterprise SaaS deals across APAC. Responsibilities include technical demonstrations, presentations, tenders, RFPs, security questionnaires, solution design, proofs of concept, managed trials, Statements of Work, technical objection handling, and customer handoffs. The role translates technical capabilities into business value, advises prospects and customers, captures product feedback, and builds reusable sales enablement assets.

Lead technical strategy and execution for enterprise endpoint cloud transitions. Serve as a trusted technical advisor in presales engagements by designing Microsoft endpoint and virtualization solutions, delivering demonstrations, leading whiteboarding sessions, and orchestrating proof-of-concept deployments. Partner with specialists, field sellers, and external partners to understand customer needs, overcome technical blockers, guide technology decisions, and drive adoption of Windows 365 and Azure Virtual Desktop.

Own end-to-end implementation delivery for multiple enterprise utility customers, from contract signature through go-live, hypercare, and handover to Customer Success. Coordinate cross-functional internal teams and customer stakeholders, manage scope, milestones, dependencies, risks, resources, and change, and provide executive updates. Improve implementation processes, tooling, templates, and playbooks while reducing time to customer value.

Lead the product and commercial strategy for MYOB’s Practice portfolio, overseeing product managers and driving AI-powered customer workflows. Translate strategy into roadmaps, lead customer discovery, prioritize investments using data, develop high-performing product teams, champion responsible AI adoption, and align senior stakeholders across Design, Technology, Data, and Product Marketing.

Lead engineering teams to improve Azure Storage service quality, resiliency, chaos engineering, and validation infrastructure. Integrate AI tools and Responsible AI across the SDLC, coordinate cross-team plans, resolve complex incidents, and ensure scalable performance and best practices.

Manage a portfolio of SMSF clients, overseeing financial statements, tax returns, compliance, workpaper reviews, billing, profitability, and risk requirements. Lead and mentor SMSF professionals, manage workflows, maintain relationships with clients and regulators, support business development, and improve processes through technology and automation. The role also contributes to national projects and thought leadership while ensuring high-quality, timely client outcomes.

Owns high-impact ANZ strategic projects spanning commercial growth, customer expansion, partnerships, sales, and delivery. The role translates regional priorities into workstreams, milestones, dashboards, operating cadences, and repeatable playbooks. It resolves cross-functional blockers, improves sales-to-delivery execution, supports priority accounts and partners, and uses data, automation, and AI to improve regional performance. Success is measured through revenue retention, opportunity progression, partner contribution, delivery efficiency, and stronger operating leverage for regional leadership.

Lead B2B digital campaign delivery across North America and ANZ, managing paid media, email, events, webinars, ABM, creative trafficking, tracking, and quality control. Analyze funnel, conversion, and attribution data to optimize ROI and pipeline contribution. Manage paid media agencies, maintain UTM and Salesforce campaign governance, and coordinate with marketing automation, RevOps, sales, growth, and reputation teams.

Lead enterprise AI adoption by designing training programs, coaching teams, developing playbooks and prompt libraries, building an AI Champions network, identifying automation opportunities, prototyping AI solutions, promoting responsible AI, tracking adoption outcomes, and optimizing processes for AI enablement. The role partners with stakeholders across operations, technology, and corporate functions to deliver practical business improvements.

Drive commercial growth by managing and expanding established enterprise accounts, hunting new logos, closing complex multi-solution deals, and cross-selling AI, data, Salesforce, and staff augmentation services. The role requires managing full sales cycles, engaging enterprise stakeholders, aligning bespoke digital transformation solutions with client needs, and collaborating with technical and delivery teams.

Develop and deploy machine learning products and services by translating complex business problems into applied research programs. Build robust data pipelines and reusable code in Python or Scala, develop and evaluate applications involving NLP, computer vision, and LLMs, and monitor algorithms at scale. The role also involves managing research risks, collaborating cross-functionally, mentoring colleagues, communicating complex findings, and raising scientific and engineering standards.

Leads integrated communications and connections strategies across paid, owned, earned, and shared channels. Develops consumer journeys, touchpoint plans, creative briefs, measurement frameworks, and campaign optimization approaches that support brand growth and cultural relevance. Collaborates with creative, media, strategy, account management, and production teams across multiple clients, while advising on emerging media, technology, social trends, AI planning, data-driven creative, and effectiveness methodologies.

Provide in-house legal counsel across AI products, including governance, regulatory compliance, legal terms, customer and partner contracts, audits, and product-related legal matters. Work independently with limited external counsel while supporting local and international growth and developing expertise in AI law.

Manage FMCG client portfolios and senior stakeholder relationships while delivering data-driven consulting solutions for pricing, promotions, category management, and brand strategy. Perform hands-on analysis of customer and shopper data, coordinate cross-functional teams, present actionable insights, develop industry relationships, support business development, and mentor team members. The role combines strategic advisory, analytics delivery, client leadership, and career development responsibilities.

Manages data analytics and emerging technology engagements supporting external audits. Uses Databricks, PySpark, SQL, Azure, and AI solutions to analyze large datasets, generate audit insights, improve quality, and drive innovation. Responsibilities include stakeholder and client management, project delivery, quality compliance, people management, mentoring, performance feedback, and knowledge sharing.

Lead Allens’ Innovation & Digital Capability team, setting strategy for legal technology, AI adoption and digital transformation. Identify opportunities with practice and corporate stakeholders, manage AI and digital champion networks, lead change management, and deliver legal operations transformation engagements for clients. Build team capability, advise senior stakeholders, measure commercial impact and ROI, and strengthen the firm’s innovation brand through thought leadership, industry engagement and market-facing initiatives.

Leads ML and platform engineering teams building scalable, production-grade machine learning infrastructure. Responsibilities include coaching engineers, guiding architecture and engineering trade-offs, improving MLOps maturity and observability, translating business goals into delivery plans, managing roadmaps, maintaining system health, and supporting production incidents through code review, debugging, or hands-on development. The role supports AI products including conversational GenAI, automated bank reconciliation, document capture, and cash-flow forecasting.

Leads continuous improvement and technology architecture for strategic AI transformation engagements. Establishes operating rhythms, redesigns workflows, embeds standard work, governs solution design and deployment, manages requirements, risks, testing, costs, and stakeholder alignment. Acts as a trusted technical advisor, facilitates consensus, develops reusable intellectual property, contributes thought leadership, and transitions improvement ownership to customer counterparts.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.