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Atlassian offers flexible, distributed-first work arrangements, allowing offices, home, or hybrid work, and hires globally where there is a legal entity, with virtual interviews and onboarding. The company is seeking an exceptional Solutions Engineer to tackle complex enterprise challenges, collaborating with enterprise sales and regional partners to understand needs, map them to Atlassian’s value, and drive deals to closure through compelling demonstrations. The role contributes to customer success and Atlassian’s growth, supported by a team that values value selling, teamwork, and a culture where employees collaborate with Atlassian, not merely for it. Responsibilities include strategic technical engagement with sales, identifying opportunities to expand via cross-product solutions, solving client problems, presenting product expertise, delivering value-driven demos, providing technical sales leadership, and advocating for customers. Qualifications require a bachelor’s degree or equivalent, 8+ years in presales/solution engineering or similar roles, deep knowledge of Atlassian products, proven ability to deliver impactful demos and technical evaluations, and strong collaboration, communication, and organizational skills in fast-paced settings.

Atlassian’s mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket enabling collaboration and real-world impact such as NASA’s Mars Rover and Cochlear’s hearing devices. The company has a Central AI Org focused on AI innovation and building a robust Atlassian AI infrastructure, including horizontal AI capabilities and a centralized search, Q&A, and conversational AI system. The AI & ML Platform Team aims to democratize AI/ML by providing productive tools that integrate with the Atlassian Data Platform to develop, deploy, measure, and operate AI experiences while adhering to security and data usage policies. The Senior Machine Learning System Engineer role involves developing core infrastructure for ML across Atlassian products, collaborating with teams like Jira and Confluence, and curating datasets or fine-tuning LLMs as needed. The position offers opportunities to lead from design to launch, deliver AI features used by millions, contribute to cross-team initiatives, mentor junior members, and work with flexible arrangements across countries where Atlassian has a legal entity.

Atlassian’s mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket that power collaboration across diverse teams and drive real-world breakthroughs (such as NASA’s Mars Rover and Cochlear). You will join the Central AI Org, specifically the AI & ML Platform team, which is dedicated to driving AI innovation across Atlassian products and building a robust AI infrastructure for the future. The Central AI Org aims to develop horizontal AI capabilities, establish a centralized Search, Q&A, and Conversational AI system, and explore integrating Atlassian products with AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML for Atlassian’s teams and customers by creating productive, reliable tools that integrate with the Atlassian Data Platform while adhering to security and data usage policies. As a Senior Machine Learning System Engineer, you’ll architect core ML infrastructure, collaborate with product teams, curate datasets, fine-tune or access LLMs, lead end-to-end projects, deliver cross-team AI features, perform reviews and documentation, and mentor junior engineers.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever they have a legal entity. - They’re seeking a Senior Machine Learning Engineer for the AI Context team within Rovo + AI to build agentic LLM harnesses powering high-visibility AI features and contextually aware experiences. - The AI Context team spans Sydney, Melbourne, Brisbane, and the US West Coast, with software and ML engineers focused on insights, modeling, and personalization to provide relevant context to users and AI agents. - The role involves designing, building, shipping, and operating agentic LLM harness solutions, improving quality and reducing cost, developing evaluation capabilities, and contributing to fine-tuning and model serving, while shaping long-term technical direction. - You’ll act as a thought partner to engineering leaders, influence direction across teams, lead small virtual squads, and coach junior engineers to help the team achieve its key results.

DX is a fast-growing SaaS company based in Salt Lake City that provides data-driven insights into developer productivity for customers like Pinterest, GitHub, BNY, and Xero, and it recently closed an acquisition by Atlassian. DX emphasizes mastery and performance, valuing individuals who strive to be the best at their craft and focusing on doing the job at the highest level given external uncertainties. The APAC Marketing Lead role is a founding-marketer position charged with expanding DX's presence in Asia-Pacific by translating regional needs to global marketing, identifying target accounts, and partnering with AEs to build and execute regionally tailored engagement plays. Responsibilities include maintaining a target-account view, messaging and market intelligence, coordinating events and executive programs, leading regional webinars and content, and pursuing growth experiments to broaden DX's APAC reach. In the first six months, success means articulating the APAC account map and relationships, planning at least one executive program, adapting assets for the region, hosting a regional webinar, and delivering early market intelligence that informs PMM and demand-gen decisions, with measurable traction by months 3–5.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people globally where they have a legal entity, enabling employees to balance family, personal goals, and priorities. Atlassian’s agile, DevOps, IT service management, and work management software help teams unleash their potential, with customers including Fortune 500 firms and 300,000 companies worldwide (NASA, Audi, Kiva, Deutsche Bank, Dropbox) and products like Jira Software, Confluence, and Jira Service Management. The ANZ Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and expansion opportunities, nurturing relationships, and achieving revenue targets. They advocate for customers by feeding feedback to product and engineering to improve the experience, collaborating closely with Channel Partners, Account Managers, Solution Engineers, and Deal Desk to deploy Atlassian at scale and live the Atlassian values. Responsibilities include developing and executing account/territory plans, prospecting and closing new business in ANZ, building trusted relationships with tailored solutions (demos, pricing, contracts), orchestrating internal teams for a seamless customer experience, maintaining forecasts/CRM hygiene, staying current on ANZ market dynamics, and traveling occasionally for meetings and events.