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Atlassian supports flexible, distributed work and hires globally where it has a legal entity, with virtual interviews and onboarding. They’re seeking an exceptional Solutions Engineer to collaborate with enterprise sales and regional partners to understand customer needs, strategize on engagement, deliver compelling demonstrations, and drive business closures. The role sits within a team serving 300,000 customers (including NASA, IBM, Hubspot, Samsung, and Coca-Cola) and emphasizes value selling, a “play as a team” culture, and strong earnings potential in cloud and AI opportunities. Responsibilities include strategic technical engagement, identifying cross-product opportunities, technical problem solving, product expertise, value-driven demonstrations, technical sales leadership, sales collaboration, and customer advocacy. Qualifications require a bachelor’s degree or equivalent, 8+ years in presales or solution engineering or related customer-facing tech roles, deep knowledge of Atlassian products, proven demonstrations and evaluations, ability to identify expansion opportunities, and strong communication and collaborative execution skills.

Atlassian’s mission to unleash the potential of every team is realized through its collaborative products like Jira, Confluence, and Bitbucket that help teams succeed. The Central AI Org, and specifically the AI & ML Platform team, drives AI innovation, builds horizontal AI capabilities, and aims to establish a centralized search, Q&A, and conversational AI system integrated across all Atlassian products. Their goal is to democratize AI/ML by creating tools for development, deployment, measurement, and operation of AI experiences, with integration to the Atlassian Data Platform and strict security and data usage policies. The Senior Machine Learning System Engineer role focuses on developing core infrastructure that enables engineers, ML engineers, and data scientists to build, train, deploy, and manage ML models, collaborating with teams like Jira and Confluence and fine-tuning LLMs. Responsibilities include delivering cutting-edge AI solutions used by millions, conducting code reviews and documentation, partnering on company-wide initiatives, and mentoring junior team members.

Atlassian’s mission is to unleash the potential of every team, with collaborative products like Jira, Confluence, and Bitbucket that help teams succeed. The company’s Central AI Org aims to drive AI innovation across all products, building robust AI infrastructure and a centralized Search, Q&A, and Conversational AI system, while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team works to democratize AI by creating productive, reliable tools that enable development, deployment, measurement, and operation of AI/ML experiences, integrated with the Atlassian Data Platform and following strict security policies. The role of Senior Machine Learning System Engineer involves developing core infrastructure that enables engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence and curating datasets or fine-tuning open-source or proprietary LLMs. You’ll lead projects from design to launch, deliver solutions used across products, conduct code reviews and bug fixes, partner on company-wide initiatives, and mentor junior team members.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. They are seeking a Senior Machine Learning Engineer to join the AI Context team within the broader Rovo + AI organization, to help build agentic LLM harnesses powering high-visibility AI features and context-aware experiences for every user and agent. The AI Context team spans Sydney, Melbourne, Brisbane, and the US West Coast, with a mix of software engineers and ML engineers who partner across Rovo + AI and product teams to build insights, modelling, and personalisation that deliver relevant context to users and AI agents, while emphasizing ownership, autonomy, and asynchronous collaboration. Responsibilities include designing, building, shipping, and operating agentic LLM harness solutions for existing and new AI features; improving quality and reducing cost of production LLM systems; building robust evaluation capabilities; and contributing to fine-tuning and model serving, while helping set the long-term technical direction. You will act as a thought partner to Engineering Managers and Heads of Engineering, influence technical direction across stakeholder teams, lead small virtual squads that own critical components, and coach junior engineers to help the team achieve its key results.

DX is a Salt Lake City–based, fast-growing SaaS company that analyzes developer productivity data for teams at Pinterest, GitHub, BNY, Xero, and others, has tripled ARR, and was recently acquired by Atlassian to accelerate growth and impact. The company values individual mastery and high performance, believing that while outcomes are influenced by many factors, employees should strive to do their jobs at the highest level. The APAC Marketing Lead is a founding-marketer role aimed at expanding DX’s presence in APAC and serving as the connector between the region and global marketing to identify target accounts, tailor programs, and win in the region. Responsibilities include maintaining target accounts, partnering with AEs, executing engagement plays, shaping APAC messaging and content, coordinating events and executive programs, and running regionally tailored webinars and assets with demand-gen support. In the first six months, success means forming a working APAC account view and relationships, planning executive programs, delivering regional asset adaptations and at least one regional webinar, and generating early traction plus market intelligence for PMM and demand-gen decisions.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where they have a legal entity. The company provides teamwork software such as Jira Software, Confluence, and Jira Service Management, used by many large organizations including Fortune 500 companies and NASA, to help teams collaborate and deliver results. The ANZ Mid-Market sales team focuses on managing mid-sized customer portfolios, identifying cloud-first opportunities, cross-selling, and achieving revenue targets, while advocating for customers by feeding feedback to product and engineering. This team collaborates with Channel Partners, Account Managers, Solution Engineers, and Deal Desk to ensure a seamless customer experience and successful deployments at scale. Key duties include developing account plans, prospecting and closing new business, building relationships with tailored solutions, maintaining forecasts and CRM hygiene, staying informed about market dynamics and competitors, and occasional travel across the ANZ region.