All Atlassians should have the courage and resourcefulness to spark change – to make better our products, our people, our place. Continuous improvement is a shared responsibility. Action is an independent one.

We spend a huge amount of our time at work. So the more that time doesn’t feel like “work,” the better. We can be serious, without taking ourselves too seriously. We strive to put what’s right for the team first – whether in a meeting room or on a football pitch.

Customers are our lifeblood. Without happy customers, we’re doomed. So considering the customer perspective - collectively, not just a handful - comes first.

“Measure twice, cut once.” Whether you're building a birdhouse or a business, this is good advice. Passion and urgency infuse everything we do, alongside the wisdom to consider options fully and with care. Then we make the cut, and we get to work.

Openness is root level for us. Information is open internally by default and sharing is a first principle. And we understand that speaking your mind requires equal parts brains (what to say), thoughtfulness (when to say it), and caring (how it’s said).

Atlassian is a software company that builds tools for teams, with a  mission of helping unleash the potential of every team. Atlassian’s suite of tools facilitate collaboration, alignment, and nimbleness allowing teams to more effectively and efficiently build and create together. 

Collectively, Atlassian’s products are used by over 250,000 customers worldwide in industries ranging from space travel to pizza delivery, medicine to disaster response. More than 8,000 employees based in 13 countries support Atlassian’s product offerings.

The company’s portfolio includes Jira Software and Jira Work Management for team planning and project management; Jira Service Management for team service and support applications; Jira Align for enterprise agile planning; Atlassian Access for enterprise-grade security and centralized administration; Confluence for content creation and sharing; Bitbucket for team code sharing and management; Opsgenie for incident management, and Trello for capturing and adding structure to flude and fast-forming work teams. 

These products offer a range of functionality to serve the needs of a variety of workers including software developers, IT professionals, and knowledge workers. At the same time, all of their products share five intentional core attributes: Built for Teams, Easy to Adopt and Use, Versatile and Adaptable, Integrated, and Open.

Atlassian was founded in 2002 with the launch of their first product, Jira. In 2015, Atlassian became a publicly traded company listed on NASDAQ as TEAM.

AI/ML

Enterprise Software

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Atlassian

Atlassian's headquarters in Sydney, Australia

The Mountain View office focuses on engineering, technical program management, and security for innovative software solutions.

Mountain View

The New York office focuses on software development, sales strategy, and data-driven marketing to drive enterprise growth.

New York

This department focuses on the engineering and development of AI systems, platforms, and solutions to enhance product offerings and drive innovation in artificial intelligence.

AI Development Engineering

This department focuses on the design, development, and maintenance of software applications and systems.

Software Engineering

This department oversees the development and strategy of products, ensuring alignment with market needs and company objectives.

Product Management

This department focuses on managing client relationships, driving sales growth, and ensuring customer satisfaction across various account segments.

Sales and Account Management

This department focuses on analyzing data, developing algorithms, and implementing data solutions to inform strategic decisions and enhance product offerings.

Data Science and Engineering

This department is responsible for designing, developing, and maintaining software applications using full stack technologies.

Software Development

This department focuses on the development, implementation, and optimization of machine learning models and systems.

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Software Engineering

Product Management

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Data Science and Engineering

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