The Ampin App
deep insights into the Atlassian community

Atlassian offers flexible working arrangements, allowing employees to work from the office, home, or a combination of both, providing greater control over personal and family priorities. The company is hiring for a Lead Product Designer focused on enhancing its flagship product, Confluence, particularly its AI features, and requires candidates to be located in the Pacific Time Zone. This role involves leading strategic design processes, collaborating with cross-functional teams, and driving cohesive user experiences across various products. Ideal candidates should have over eight years of product design experience, particularly in designing AI features, and possess strong skills in visual and interaction design. Additionally, the role emphasizes collaboration, facilitating design discussions, and measuring success through both qualitative and quantitative methods.

Atlassian offers flexible work arrangements, allowing employees to work from home, in the office, or a combination of both, promoting better work-life balance. The company operates as a distributed-first organization, conducting interviews and onboarding virtually, enabling global hiring. The Central AI organization at Atlassian aims to enhance AI capabilities across its products by creating a unified infrastructure and shared experiences, fostering collaboration and efficiency among teams. As a Principal Machine Learning Engineer, you will develop advanced machine learning algorithms and collaborate with various teams to integrate AI functionalities into Atlassian's offerings. Your responsibilities will include designing architectures, conducting model evaluations, and mentoring junior ML engineers to ensure AI's transformative potential is fully realized.

Atlassian is seeking a Senior Solutions Engineer for its enterprise team in Canada who is fluent in French and has a passion for technology and solving business challenges. The company embraces a flexible work environment, allowing employees to work from various locations while conducting interviews and onboarding virtually. The role involves collaborating with direct sales and account teams to understand Fortune 500 customers' needs and develop tailored solutions using Atlassian's software products. Candidates will be responsible for leading demonstrations, identifying customer pain points, and facilitating value-based storytelling to influence purchasing decisions. Additionally, the role emphasizes teamwork, continuous learning, and providing feedback to improve product offerings and internal processes.

Atlassian is hiring a Senior Solutions Engineer for their enterprise business, specifically targeting French-speaking candidates in Canada. The role emphasizes flexibility in work-location, reflecting Atlassian's distributed-first company culture, where interviews and onboarding are conducted virtually. The engineer will collaborate with sales teams to address complex customer issues and provide tailored solutions using Atlassian's software, aimed at Fortune 500 clients. Key responsibilities include identifying customer pain points, leading product demonstrations, and fostering partnerships with account executives to enhance the sales process. The position also involves gathering product feedback and competitive intelligence to advocate for continuous improvement within Atlassian's offerings.

Atlassian is seeking a Data Engineer to enhance their Data Engineering team by creating data solutions that inform key organizational decisions. The ideal candidate should be an open-minded, structured thinker with a passion for scalable system development. This role involves building backend systems and data models while fostering a data-driven culture within the company. Atlassian offers flexible work arrangements, allowing employees to work from various locations, including from home. The Data Engineering team manages numerous data models and pipelines that support different company functions, and the Data Engineer will need to adapt solutions as business needs evolve, ensuring continuous improvement through new data sources and metrics.