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Atlassian supports a distributed-first work model, letting employees choose office, remote, or hybrid arrangements, with virtual interviews and onboarding and global hiring wherever there is a legal entity. Atlassian’s mission is to unleash the potential of every team, anchored by Jira, Confluence, and Bitbucket to enable collaboration across diverse teams and industries, evidenced by how their tools power NASA’s Mars Rover and Cochlear’s hearing technologies. The Central AI Org is dedicated to AI innovation across all Atlassian products, building horizontal AI capabilities and infrastructure and establishing a centralized Search, Q&A, and Conversational AI system while exploring AI integrations beyond the Atlassian ecosystem. The AI & ML Platform Team strives to democratize AI by delivering tools that integrate with the Atlassian Data Platform, enabling development, deployment, measurement, and operation of AI/ML experiences with strict security and data usage policies. The Principal Machine Learning System Engineer role involves leading ML infrastructure from design to launch, collaborating with Jira/Confluence teams, curating datasets, fine-tuning LLMs, and requires 5+ years of experience in ML infrastructure, end-to-end ML lifecycle, MLOps, distributed systems, Python and ML frameworks, plus cloud, big data, and GenAI/RAG experience.

At Atlassian, you can work from an office, home, or a hybrid setup, and the company hires in any country where it has a legal entity, with virtual interviews and onboarding as part of being a distributed-first organization. Atlassian’s mission is to unleash the potential of every team, behind products like Jira, Confluence, and Bitbucket that support collaboration across diverse teams and enable breakthroughs such as NASA’s Mars Rover and Cochlear’s hearing devices. The Central AI Org drives AI innovation across Atlassian products, building horizontal AI capabilities and infrastructure and establishing a centralized Search, Q&A, and Conversational AI system that can integrate with AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML by delivering reliable tools that integrate with the Atlassian Data Platform, enabling teams to develop, deploy, measure, and operate AI/ML experiences while adhering to security and data-use policies. As a Principal Machine Learning System Engineer, you’ll lead projects from design to launch, collaborating with Jira and Confluence teams to build and fine-tune LLMs or access proprietary models, and you’ll need extensive ML infra experience (about 5+ years), end-to-end ML lifecycle expertise, MLOps, large-scale distributed systems design, Python and ML frameworks, cloud and big data familiarity, and GenAI/RAG experience.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement to support personal goals and priorities. They hire people in any country where they have a legal entity. The role focuses on developing and executing a sales strategy to grow revenue for Atlassian Service Collection in North Asia, and on defining a clear territory vision with regular updates on funnel, resources, challenges, and successes. It requires cross-functional collaboration with teams like Enterprise Advocate, Marketing, Customer Success, and Product to ensure customer satisfaction and retention, plus representing Atlassian Service Collection at industry events and providing accurate forecasts to senior management in Australia. It also involves close work with Atlassian partner management and various partners, and is part of the first hires for the Solution Sales Executive team based in Singapore.

Atlassian offers flexible work options—office, remote, or a mix—and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The company aims to unleash every team’s potential with products like Jira Software, Confluence, and Jira Service Management, used by Fortune 500 firms and organizations such as NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales role focuses on managing a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-selling and expanding usage, fostering relationships, and achieving revenue targets while advocating for customers and feeding their feedback to product and engineering teams. This work is done in close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, and is guided by Atlassian values to deploy and scale solutions. Key duties include developing named account or territory plans, implementing sales strategies for growth, prospecting and qualifying leads, presenting solutions and contracts, providing forecasts, staying informed on industry trends, and occasional travel for client meetings and events.

Atlassian is seeking a passionate Solutions Engineer to join the APAC Solutions Engineering team, focusing on its largest South East Asian customers and acting as a trusted advisor to help them realize their potential with Atlassian, with a call to apply and connect with the Recruitment team. Atlassian's core values guide culture and decision-making, including Open Company, No BS; Build with Heart and Balance; Don’t #@!% the Customer; Play, as a Team; Be the Change You Seek, along with team values like Excellence, Team > Individual, Intentional Positivity, and Own Your Domain, Your Way. Working at Atlassian affords flexibility in location—office, home, or a mix—and they hire in any country where there is a legal entity. What you’ll do includes being a technical leader in pre-sales, advocating for Atlassian, empathizing with customers, lifelong learning, and driving business outcomes to meet revenue goals. We work as a team with a distributed-first model, encouraging problem-solving collaboration and empowering you to Be The Change You Seek, trying new things, and learning from failures.

Atlassian supports flexible work locations and a distributed-first approach, employing a global workforce with virtual interviews and onboarding. Its mission is to unleash the potential of every team, with Jira, Confluence, and Bitbucket powering collaboration and real-world impact, from NASA's Mars Rover to Cochlear's hearing solution. The Central AI Org drives AI innovation across Atlassian products, building horizontal AI capabilities, a centralized search/Q&A/conversational AI system, and exploring AI integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI by providing productive tools that integrate with the Atlassian Data Platform, enabling teams to develop, deploy, and monitor AI/ML while adhering to security and data use policies. The Principal ML System Engineer role involves leading core ML infrastructure across products, collaborating with Jira and Confluence teams, curating datasets, tuning LLMs, and requires 5+ years of ML infra experience, end-to-end ML lifecycle expertise, distributed systems design, Python and ML framework proficiency, MLOps, cloud and big-data skills, and GenAI experience, with opportunities to guide projects from design to launch and mentor junior engineers.

Atlassian offers flexible, distributed-first work options (office, home, or hybrid) and hires globally where they have a legal entity, with interviews and onboarding conducted virtually. They are seeking a passionate Solutions Engineer to join their APAC Solutions Engineering team, focusing on their largest Southeast Asian customers. The role aims to be a trusted advisor to major clients, helping them achieve their full potential with Atlassian. Responsibilities include owning pre-sales technical engagements as a leader, advocating for Atlassian by aligning solutions with customer goals and differentiators, and empathizing with customers’ pain points and challenges. The position also emphasizes lifelong learning to stay current and driving business outcomes to help achieve revenue goals.

At Atlassian, employees have the flexibility to work from various locations, allowing them to balance personal and family commitments effectively. The Central AI Org focuses on fostering AI innovation across all Atlassian products, aiming to create a unified AI infrastructure and integrate advanced AI solutions. The AI & ML Platform Team is dedicated to democratizing machine learning for Atlassian's ecosystem by providing tools that streamline the development and deployment of AI capabilities while ensuring adherence to security and data policies. The Senior ML System Engineer role involves refining the core infrastructure for ML models and collaborating with product teams like Jira and Confluence to address specific challenges and deliver solutions. Ideal candidates will have extensive experience in machine learning lifecycle management, large-scale system design, MLOps, and proficiency with relevant programming languages and cloud platforms.

At Atlassian, employees have the flexibility to work from either an office or home, supporting their personal and family needs. The company operates as a distributed-first organization, conducting interviews and onboarding virtually for global hiring. They are focused on unleashing team potential through significant investments in generative AI, and are seeking a Senior Machine Learning Engineer to join their GenAI Modeling & Innovation Forge in Singapore. The role involves developing advanced generative AI models, quickly prototyping new systems, and collaborating with various teams to innovate and implement solutions. Engineers will work hands-on with modern frameworks, running experiments to validate impact and transitioning successful prototypes into production-ready applications.

Atlassian offers flexible work arrangements, allowing employees to work from home, in an office, or a combination of both, enhancing their ability to balance personal and family commitments. The company conducts interviews and onboarding virtually and is actively looking for a Senior Machine Learning Engineer to join its new GenAI Modeling & Innovation Forge in Singapore. The selected candidate will focus on advanced GenAI modeling and rapid prototyping, aimed at developing AI-driven innovations. Responsibilities include building advanced GenAI models, experimenting with proof-of-concept systems, and collaborating with various teams to enhance user experiences. The role also involves transitioning successful prototypes into scalable solutions while contributing to a culture of innovation within the organization.