Top Remote Jobs in Melbourne

This role entails generating revenue through a SaaS model, establishing relationships with C-suite executives, and coordinating account strategies with multiple stakeholders.

The Account Executive will sell SailPoint's Identity Security Solutions, managing the sales cycle, customer relations, and collaborating with teams to exceed revenue goals.

As a People Experience Business Partner, support engineering teams by executing strategic HR initiatives, providing expert coaching, and delivering generalist HR support.

Lead the development and maintenance of the design system, ensuring consistent component usage, collaborating with teams, and advocating for design standards across products.

Lead the development of financial markets infrastructure and customer-facing products, optimizing liquidity management and defining product strategies for FX and stablecoin features.

As a Talent Acquisition Partner, you'll lead recruitment for Go-To-Market roles, manage candidate experiences, and collaborate with hiring leaders to enhance talent acquisition processes.

Manage a portfolio of customers, implement solutions using monday.com, build workflows with AI, foster relationships, and drive product adoption.

As a Senior Intelligence Analyst, you'll perform advanced threat hunting, develop intelligence insights, and maintain strong customer relations to enhance cybersecurity measures.

As a Lead Customer Success Engineer, you will manage post-sales relationships with enterprise customers, ensuring successful deployment and user adoption of Dynatrace products while providing technical guidance and strategic insights.

As a Senior Cybersecurity Advisor, you will partner with customers to enhance their security posture through tailored recommendations, regular reviews, and collaboration with various teams. You'll report on security activities and mentor team members.

The Lead Software Engineer will execute software solutions, develop high-quality code, enhance operational stability, and lead technology evaluations while fostering a diverse team culture.

Design and build ML infrastructure, influence data access and model deployment, partner with researchers to optimize ML models for trading, and mentor engineers.