Top AI Jobs in Sydney

The founding APAC SMB Sales Manager will build and lead a high-performing Account Executive team in Sydney. Responsibilities include recruiting, coaching, forecasting revenue, maintaining pipeline accuracy, achieving ARR targets, developing sales playbooks, closing new business, and creating scalable sales processes. The role partners cross-functionally with Product, Marketing, and Customer Success while using data to improve team performance and prioritize accounts.

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.

Leads computational biology and machine learning research on cancer cell dormancy and relapse. Develops deep learning pipelines, foundation models, single-cell trajectory methods, and multi-omic analyses integrating imaging, molecular, and clinical data. Coordinates international collaborations, supervises junior staff and students, manages computational infrastructure and reproducible pipelines, contributes to grants and publications, and provides strategic computational leadership across the AllClear consortium.

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.

Lead growth and innovation in retail analytics by shaping the innovation roadmap, identifying AI-driven opportunities, and delivering proof-of-concept solutions. Partner with analytics, product, client, retail, and trade stakeholders to validate, scale, and commercialize solutions across Australia, New Zealand, and global markets. Define success metrics, measure outcomes, drive adoption, and influence senior and C-suite stakeholders across partner organizations.

Develop and execute acquisition strategies to generate net-new customer growth across Australia. Prospect strategically, identify greenfield opportunities, manage opportunities through the full sales cycle, and close new business. Collaborate with specialists, Solutions Engineers, and channel partners while using AI-powered sales tools and market insights. Maintain pipeline discipline, accurate forecasting, operational excellence, and consistent quota attainment.

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.

Own system and product ecosystem architecture across hardware and software, from system-wide design through component level. Collaborate with product management, software, product engineering, and supply chain teams to create reusable, scalable designs aligned with product requirements, supply resilience, cost constraints, external interfaces, and development frameworks including NIST and AUSDEFCON. Drive architectural consistency, rapid iteration, continuous improvement, and effective communication across multidisciplinary teams.

Leads a multidisciplinary content production team, owning people management, performance, resource planning, and operational delivery of the education content roadmap. Creates project plans, tracks workflow and deadlines using Google Sheets and JIRA, forecasts capacity, analyzes production data, manages risks, and maintains operational data quality. The role also ensures content meets quality standards, improves processes across the department, and supports responsible AI adoption in content production.

Own full-cycle talent acquisition for engineering, manufacturing, robotics, mechatronics, electronics, sales, product, and customer success roles. Partner with leaders to define hiring needs, build targeted sourcing strategies, identify hard-to-find technical and commercial talent, manage candidate pipelines, and deliver a strong candidate experience. Use recruiting data to improve performance and efficiency while sourcing and assessing candidates for high-tech, consultative, and strategic selling environments.

Manages science and technology initiatives for sustainable industrial fisheries. Leads multidisciplinary projects involving electronic monitoring, AI, machine learning, computer vision, data systems, hardware, software deployment, and seafood traceability. Oversees vendors, contractors, budgets, procurements, technical assessments, and deployment of systems in remote environments. Translates technical concepts for diverse stakeholders and supports technology evaluation, scaling, and conservation strategy. The role may require domestic and international travel of 25% or more.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Integrate KYC, transaction monitoring, limits, privacy, licensing, regulatory approvals, financial rails, and third-party partners. Apply AI with evaluation frameworks, safeguards, human oversight, and failure handling while aligning engineering, design, compliance, operations, treasury, and finance.

Leads enterprise clinical denial management programs, including strategy, governance, financial performance, reimbursement optimization, denial prevention, client and executive management, transformation initiatives, compliance, and organizational leadership. Oversees multiple teams of at least 50 professionals while partnering with clinical, revenue cycle, coding, finance, and technology stakeholders to improve recovery, prevent denials, and reduce revenue leakage.

Leads global organisation design programmes, complex restructures, and AI-enabled self-service capabilities. Develops design methodologies, guardrails, diagnostics, prompts, agent workflows, and governance. Uses workforce analytics to evaluate spans, layers, costs, role clarity, capability, and implementation risks. Partners with business leaders, People teams, data, technology, finance, legal, and employee relations stakeholders. Builds organisation design capability and supports consistent, evidence-based decision-making while maintaining human oversight and consultation discipline.

Leads strategic workforce planning by integrating business strategy, Finance cycles, skills, capacity, costs, productivity, automation, and agent economics. Designs AI-enabled planning tools and agents for forecasting, skills analysis, scenario modeling, and decision support. Establishes planning standards, data requirements, guardrails, and human review processes while connecting outputs to hiring, reskilling, organization design, automation, and cost management.

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.

Design and deploy production AI agents for risk management and payment processing. Translate business problems into end-to-end agent solutions, using orchestration frameworks, prompting, RAG, and fine-tuning. Optimize agent reasoning, tool use, and workflow automation; collaborate with engineering teams to integrate secure systems; and develop evaluation, monitoring, and governance frameworks for reliable AI operations.

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.

Own high-leverage product and technical initiatives from ambiguous problem definition through measurable delivery. Translate executive priorities into plans, align cross-functional teams, surface risks, and drive outcomes across product, engineering, data, AI, and commercial functions. Provide decision-ready recommendations to the CEO and CPO, improve operating cadences, establish ownership mechanisms, and use hands-on analysis, prototyping, code, data, and AI tools to unblock progress and increase organizational leverage.

Lead product direction and execution for major AI finance app areas, owning roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple squads. Guide product managers, designers, and engineers while balancing UX, data, engineering, business, regulatory, and operational constraints across financial services including insurance, payments, savings, investing, and travel.

Leads public-sector sales and account development across Australia, New Zealand, and selected APAC markets. Builds executive relationships, develops account and capture strategies, drives complex technology opportunities through negotiation and closure, and supports post-sale adoption and expansion. Coordinates cross-functional teams and partners while navigating procurement, security, privacy, data residency, compliance, and sovereignty requirements. Represents OpenAI in government and industry forums and maintains forecasting, pipeline, customer outcomes, and executive reporting.

Leads global Mid-Market and Enterprise Solutions Engineering teams, defining go-to-market strategy, hiring and coaching technical pre-sales talent, supporting complex sales cycles, and developing scalable solution architectures, playbooks, PoCs, and business value assessments. Partners with Sales, Product, Marketing, Engineering, and Services to influence product strategy, advise executive customers, translate AI capabilities into business outcomes, and drive revenue growth.

Own the full sales cycle for mid-market and enterprise security customers, conducting technical and consultative discussions with security leaders, closing complex B2B deals, and partnering with founders and engineering to develop positioning and repeatable sales processes for an emerging AI security product.

Owns enterprise new-business sales across Australia and New Zealand, developing territory plans, selling directly and through channel partners, and engaging C-level executives across target accounts. The role focuses on full-cycle deal ownership, complex enterprise sales, quota attainment, cross-functional collaboration, and building relationships with large organizations in a fast-growing startup environment.

Leads go-to-market efforts for industrial AI solutions, partnering with sales, presales, R&D, and services teams to qualify opportunities, conduct discovery, design solutions, configure demonstrations, and build customer-specific proofs of concept. Engages executives and technical stakeholders, presents at events, advises on AI strategy, shapes customer GTM approaches, tracks industry trends, and influences product roadmap priorities through customer insights.