Top Tech Jobs & Startup Jobs

As an Advisory Principal, you'll partner with customers and internal teams to solve complex Atlassian platform challenges. You'll lead projects, influence engagement with enterprise customers, and create solutions while mentoring team members, leveraging your deep expertise in the Atlassian ecosystem.

The Solutions Sales Executive will drive revenue growth for Jira Service Management by developing sales strategies, building relationships with enterprise customers, collaborating with cross-functional teams, and providing sales forecasts. They will represent Jira at events and engage with partners.

The Principal Strategist will drive growth and adoption of Rovo AI solutions by evaluating revenue opportunities, developing strategies, managing programs, overseeing implementations, and engaging with stakeholders across teams. The role requires strong analytical capabilities and cross-functional leadership in a fast-paced environment.

The Principal Program Manager will lead cross-functional programs in Talent Acquisition Enablement, driving efficiency and technology innovations. They will partner with various teams to enhance recruiting tools, manage program risks, and utilize data for continuous improvement while ensuring the alignment of TA goals.

As a Senior Software Engineer in the Central AI team, you will build and maintain core infrastructure to support machine learning engineers and data scientists. Your role involves solving complex infrastructure challenges, leading projects, and collaborating with other teams to ensure effective AI integration.

The Senior Program Manager will focus on establishing a comprehensive monitoring, evaluation, and learning (MEL) framework for the Atlassian Foundation. Responsibilities include developing methods for assessing program progress, integrating MEL into diverse programs, and collaborating on data collection systems to enhance the Foundation's impact assessment processes.

The Principal Machine Learning Engineer will drive the development and implementation of machine learning algorithms, collaborate with product and engineering teams, design architectures, conduct experiments, and guide emerging ML engineers, ensuring the effective integration of AI across Atlassian's products and services.