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At Atlassian, employees have the flexibility to choose their work environment, whether in the office, at home, or a mix of both, allowing them to balance personal and family priorities. The Partner Readiness Manager plays a crucial role in introducing new products and updates to Atlassian’s global channel partners, ensuring they can effectively sell and deliver services related to Atlassian solutions. This position requires strong communication skills and the ability to manage the complete lifecycle of product launches, implementing a structured Launch Excellence Framework. The manager must collaborate with various internal teams, drive transparency in the launch process, and establish key performance indicators to assess success and gather insights for future enhancements. Additionally, identifying potential risks and developing mitigation strategies is essential for successful launches, along with reporting on timelines and managing any issues that may impact release schedules.

Atlassian offers flexible work arrangements, allowing employees to choose between working in-office, from home, or a hybrid model, which supports their personal and familial priorities. The company operates on a distributed-first model, hiring talent worldwide with virtual interviews and onboarding processes. The Talent Acquisition Enablement Team focuses on enhancing efficiency and innovation in recruitment through continuous improvement initiatives. They are currently looking for a Principal Program Manager to lead various transformative projects within the Talent Acquisition team, emphasizing data-driven decision-making and teamwork. This role involves collaborating across multiple teams, managing program risks, and driving successful change adoption to meet TA goals.

Atlassian offers flexible work arrangements, allowing employees to work from home, in the office, or a hybrid of both, which helps them balance personal and family commitments. The company conducts interviews and onboarding virtually, highlighting its distributed-first approach. The Partner Readiness Manager role focuses on integrating new products and programs into Atlassian's network of channel partners, ensuring they can effectively sell and deliver company solutions. This position requires excellent communication skills and the ability to manage cross-functional partnerships while implementing a structured Launch Excellence Framework for product launches. Key responsibilities include driving transparency, assessing launch success with KPIs, managing risks, and providing updates to leadership on launch progress.

Atlassian offers flexible work options, allowing employees to choose between working in the office, from home, or a hybrid model, which supports their personal and family priorities. The company conducts interviews and onboarding virtually, highlighting its commitment to being distributed-first, and hires globally where it has legal entities. The Talent Acquisition Enablement Team aims for continuous improvement and operational excellence in talent acquisition, focusing on efficiency and technology innovation. They are looking for a Principal Program Manager who can lead various technical and non-technical programs, working closely with cross-functional teams to enhance recruiting tools and drive adoption strategies. The ideal candidate should be data-driven, thrive in collaborative environments, and adept at managing complex projects while ensuring effective communication across teams and mitigating risks.

Atlassian offers flexible work arrangements, allowing employees to choose between office, home, or hybrid working environments. The Partner Readiness Manager plays a crucial role in introducing new products and programs to the company's global channel partners. This position involves creating and maintaining a channel launch excellence framework to ensure effective sales and service delivery around Atlassian solutions. The manager will collaborate with various teams and drive transparency, reporting, and stakeholder engagement throughout the launch lifecycle. Additionally, they will establish KPIs for assessing launch success, manage risks, and implement iterative improvements based on feedback and insights.

Atlassian offers flexible work arrangements, allowing employees to choose between office, home, or hybrid work settings to better accommodate their personal and family needs. The company conducts its hiring processes virtually and can employ individuals from any country with a legal entity. Within Talent Acquisition, a collaborative team focuses on enhancing efficiency and operational excellence through continuous improvement and technological innovation. They are currently seeking a Principal Program Manager to oversee various cross-functional programs that support their Hiring Transformation initiatives. This role requires expertise in program management, a data-driven approach, and strong communication skills to ensure program success and navigate complex dependencies across teams.

At Atlassian, employees have the flexibility to choose their work location, supporting their personal and family priorities. The company hires globally and conducts interviews and onboarding virtually as part of its distributed-first approach. The Partner Readiness Manager position plays a crucial role in introducing new products and updates to Atlassian's channel partners, ensuring they can effectively sell and deliver related services. This role involves managing the launch process, collaborating with various internal teams, and implementing a scalable launch management framework. Additionally, the manager will focus on performance metrics, risk management, and continuous improvement of launch processes to enhance future initiatives.

At Atlassian, employees have the flexibility to choose their work location, which enhances their ability to manage personal and family commitments. The company's Talent Acquisition Enablement Team focuses on improving recruitment processes through innovation and operational excellence. They are currently seeking a Principal Program Manager to lead various complex programs aimed at transforming Talent Acquisition efforts globally. This role requires strong program management skills, a data-driven mindset, and the ability to communicate effectively across multiple teams to ensure program success. The ideal candidate will be responsible for analyzing program impacts, managing risks, and fostering collaboration to drive change and meet organizational goals.

At Atlassian, employees have the flexibility to choose their work environment, whether that's in an office, remotely, or a hybrid setup, enhancing their ability to balance personal and professional commitments. The company operates on a distributed-first model, allowing for virtual interviews and onboarding processes. Atlassian’s Confluence product is evolving into a comprehensive knowledge workspace, which requires a design leader to innovate and improve user collaboration beyond the traditional page format. The role of Design Manager includes leading a team of designers, driving initiatives to enhance customer experience, and collaborating with various cross-functional teams to deliver cohesive designs. Ideal candidates should have extensive product design experience, management skills, and proficiency in user-centered design processes, along with strong communication and collaboration abilities.

At Atlassian, employees have the flexibility to choose their work environment, whether in an office, from home, or a hybrid model, allowing for better management of personal and family priorities. The company is looking for a design leader to help evolve Confluence into a comprehensive knowledge workspace, focusing on enhancing collaborative work experiences. As a Design Manager, the selected candidate will oversee a team of product and content designers, manage experience strategies, and partner with various cross-functional teams to ensure high-quality design outcomes. Ideal candidates should have over eight years of product design experience, with at least two years in management, demonstrating a strong passion for design and collaboration. They should also be skilled in user-centered design processes and possess excellent communication and leadership abilities.

Atlassian offers its employees the flexibility to work from an office, home, or a hybrid of both, allowing them to better manage personal priorities. The company is seeking a design leader to enhance Confluence, its flagship product, by fostering new collaborative work methods and improving the overall user experience. The Design Manager will oversee a team of product and content designers, driving the content lifecycle strategy and ensuring high-quality design that meets business objectives. Ideal candidates should possess extensive product design experience, including management skills, and demonstrate expertise in various design disciplines. Strong collaboration and communication abilities are essential for successful partnerships with cross-functional teams throughout the organization.

Atlassian offers its employees the flexibility to choose their work environment, whether it be from home, in the office, or a hybrid model, allowing them to better manage personal and family priorities. The company is seeking a talented individual to lead its Design Partnership program, focusing on collaborations with large enterprises to enhance customer value and drive product innovation. This role requires a deep understanding of Atlassian's offerings and customer needs while fostering cross-functional partnerships to promote transformational change. The successful candidate will manage customer engagement, program metrics, and resource organization across various teams to ensure effective outcomes. Additionally, the individual will create guidelines and resources for global design engagements, aiming to make customer success initiatives repeatable and measurable.

Atlassian offers flexible work arrangements, allowing employees to work from home, the office, or a combination of both, thus supporting their personal and family needs. They are seeking a Senior Counsel to join their legal team, particularly in the Transformation and Scale function, where strategic collaboration on contracts and business operations is essential. The successful candidate will collaborate with various legal team members, manage contract documentation, and advise on complex legal issues while maintaining a customer-first approach. Ideal applicants should have over seven years of legal experience, preferably in-house at a technology or B2B SaaS company, and are expected to communicate complex concepts clearly. Atlassian values innovation and collaboration, seeking individuals who understand their products and demonstrate a growth mindset in a dynamic environment.

At Atlassian, employees have the flexibility to choose their work environment—be it in-office, remote, or hybrid—allowing them to better balance personal and family commitments. The company conducts interviews and onboarding virtually, embracing a distributed-first approach to hiring globally. As part of the support organization, employees act as customer champions, collaborating with Product and Engineering teams to enhance the success of Enterprise Customers, particularly during their transition to Enterprise Cloud. The role involves leveraging business, analytical, and data skills to identify opportunities for improving customer experience after migration, influencing product roadmaps, and driving growth while managing support costs. The responsibilities include data analysis, relationship management, project leadership without direct managerial duties, and promoting supportable design culture, all while reporting to the Group Manager of Support Enablement.

Atlassian offers its employees flexibility in choosing their work environment, allowing them to work from the office, home, or a combination of both, which enhances their ability to manage personal priorities. The company is currently seeking a Director of Global Channel to join its legal team, focusing on the Transformation and Scale function alongside the Channel and Advisory Services. The role involves drafting and negotiating channel agreements, supporting program development, and implementing strategies for the channel organization, all while collaborating with a global team using Atlassian products. Candidates are expected to have over seven years of legal experience, preferably in-house at a technology or B2B SaaS company, and possess strong communication skills for clarifying complex legal concepts. Atlassian values a collaborative mindset and innovation among its employees, emphasizing customer-centric decision-making.

Atlassian offers flexible work options for its employees, allowing them to work in the office, from home, or in a hybrid arrangement to support personal and family priorities. The company is currently seeking a Senior Engineering Manager for its Data Experiences team, responsible for managing a group of 10-15 engineers focused on analytics for Atlassian’s customers. The role involves empowering the team to develop new features, collaborating with product managers and designers, and taking responsibility for project outcomes. Candidates should have over five years of experience managing software engineering teams, a strong engineering background, and familiarity with agile methodologies. Additionally, the role emphasizes performance management and the ability to mentor and recruit talented engineers.

At Atlassian, employees have the flexibility to choose their work environment, whether it's at the office, from home, or a hybrid approach, allowing them to prioritize personal and family needs. The company hires globally and conducts interviews and onboarding virtually as part of their distributed-first model. A Full Stack Software Engineer role is available for candidates passionate about software development, where they will contribute to the Jira Align Development Platform aimed at simplifying software at scale for organizations. Key responsibilities will include creating new features, enhancing user experience, and working with various technologies like C#, REST APIs, and SQL databases. Ideal candidates should have at least four years of experience in software development, strong skills in web applications, and familiarity with Agile methodologies, while experience with CI/CD processes is a plus.

At Atlassian, employees have the flexibility to choose their work environment, whether it's in an office, from home, or a hybrid model. The company conducts virtual interviews and onboarding to accommodate its distributed workforce model. Within the support organization, employees serve as champions for Enterprise Customers, driving the company's strategic transformation towards Enterprise Cloud. Utilizing strong analytical and data skills, team members identify opportunities to enhance customer experiences post-migration and influence the product roadmap to promote growth and optimize support costs. The role blends responsibilities of a data analyst, product manager, and program manager, focusing on leveraging data insights to advocate for customer-centric product design and support processes.

At Atlassian, employees have the flexibility to work from home, in the office, or a hybrid of both, allowing them to prioritize personal and family needs. The company recruits globally, conducting virtual interviews and onboarding as part of its distributed-first model. The role of a Full Stack or Backend Software Engineer focuses on the Jira Align Development Platform, aiming to enhance user experience and facilitate collaboration between business and software development. Engineers will work on various features using languages like C# and will leverage their database skills for optimization, while also improving CI/CD processes. The work environment is open and collaborative, promoting best practices in software development through Agile methodologies and cross-team interactions.

Atlassian offers flexible work arrangements, allowing employees to choose between office, home, or hybrid work environments, which supports their personal and family commitments. They are seeking a passionate individual to lead their Design Partnership program, engaging with large enterprises to foster product innovation and deliver long-term customer value. This role requires collaboration across various teams and customers, focusing on effectively using Atlassian products to drive value and support transformational change. The successful candidate will oversee customer engagements, manage program metrics, and advocate for customer-driven enhancements within Atlassian's products and strategies. Additionally, the role involves creating resources and guidelines to ensure consistent and scalable design engagements globally.

At Atlassian, employees have the flexibility to choose their work environment, whether in an office or remotely, allowing for better management of personal and family commitments. The company conducts virtual interviews and onboarding processes, supporting its distributed-first approach. They are currently seeking a Full Stack Software Engineer to contribute to the Jira Align Development Platform, focusing on enhancing software at scale for organizations. Candidates should have over four years of software development experience, proficiency in web applications, REST APIs, and a strong foundation in React, TypeScript, and C#. Familiarity with CI/CD pipelines and automated deployment tools is a plus, as the role allows for significant autonomy and involvement in various initiatives.

Atlassian offers flexible work options, allowing employees to choose their work environment, whether in-office, remote, or a hybrid setup, fostering a balance between personal goals and professional responsibilities. The Global Marketing Operations (GMOPs) team plays a critical role in driving marketing consistency and efficiency through technology and processes, facilitating the customer lifecycle. They are seeking a Head of Lifecycle Marketing Operations to lead the Lifecycle Marketing Operations (LMO) team, focusing on optimizing the enterprise lead funnel, managing marketing operations, and ensuring seamless execution of campaigns and events. The ideal candidate will be tech-savvy, detail-oriented, and able to communicate effectively across technical and non-technical audiences while mentoring a diverse team of marketing professionals. Key responsibilities include improving operational efficiencies, enhancing customer experiences, and driving strategic partnerships to optimize marketing technology and data systems for better lead management and reporting.

Atlassian offers flexible work options, allowing employees to work from home, in an office, or a combination of both, enhancing their ability to balance personal and professional commitments. The company has a global hiring approach, facilitating virtual interviews and onboarding as part of its distributed-first operating model. Atlassian seeks a talented individual to lead its Design Partnership program, focusing on engaging large enterprises to drive customer value and product innovation. The role requires collaboration across various stakeholders, understanding customer needs, and managing design engagements from inception to realization, while also building standard processes for scalability. Additionally, the candidate will track and measure customer success through established KPIs, advocate for product evolution, and develop resources to support global design engagements.

Atlassian offers flexible work arrangements, allowing employees to choose between office and remote work to support their personal and family priorities. The company is a distributed-first organization, conducting interviews and onboarding virtually and enabling hiring across countries where they have legal entities. Their software solutions, including Jira Software and Confluence, are utilized by a significant number of global companies, including Fortune 500 firms, to enhance teamwork and project management. The Mid-Market sales team focuses on managing relationships with mid-sized customers, identifying sales opportunities, and ensuring customer success while collaborating closely with various internal teams. Employees in this role are expected to develop account plans, maintain account ownership, and provide feedback to enhance customer experiences and influence product development.

Atlassian offers flexible work arrangements, allowing employees to choose between office, home, or hybrid setups to better balance personal and professional commitments. The company is seeking a skilled individual to enhance its Design Partnership program by engaging with large enterprises to create long-term customer value and product innovation. This role requires collaboration with various stakeholders, identifying new ways to leverage Atlassian products, and driving transformational change for customers. The successful candidate will lead design engagements from the initial discovery phase through to value realization, while also managing resources and metrics for program success. Additionally, the role involves advocating for customer-driven improvements in Atlassian's products and strategies, as well as creating consistent processes and resources for global design engagements.

Atlassian offers flexible work arrangements, allowing employees to choose between in-office, remote, or hybrid work to better balance personal and professional responsibilities. The Renewals team is composed of proactive Account Associates focused on renewing subscriptions for Mid-Market and SMB clients while identifying opportunities for growth and reducing churn. A new Head of Renewals is being sought to lead a global team, aiming to transform the Renewals function to align with Atlassian's updated go-to-market strategy and achieve a retention target of $800 million. This executive role requires strong leadership, strategic execution, and the ability to foster cross-functional collaboration to enhance customer success. Candidates should have over a decade of experience in renewals or account management, with a proven track record in coaching and managing teams, as well as a background in complex organizational change.

Atlassian provides flexible work options, allowing employees to choose between working in an office, from home, or a hybrid setup. The company is seeking a Principal Data Scientist to analyze customer friction and enhance products using insights gained from various customer interaction channels. Candidates should possess extensive experience in Data Science, particularly in machine learning methods, natural language processing (NLP), and large language models (LLM). This role will involve influencing strategy based on data insights, developing measurement frameworks, and mentoring other team members. Ideal applicants will have strong technical skills, a proven track record in impactful projects, and the ability to communicate complex concepts effectively to diverse audiences.

Atlassians have the flexibility to choose their work environment, whether in-office, remote, or a hybrid approach, enabling better balance with personal and family commitments. The Development Lifecycle team is dedicated to improving the software development process, ensuring safe and efficient delivery of code changes to production. The role of Senior Manager for Deployment Verification involves leading a team focused on enhancing release safety and developer productivity. Key responsibilities include managing team operations, developing strategies for continuous delivery, and fostering a collaborative culture within the organization. Candidates should have a background in Computer Science, substantial experience in DevOps practices and leadership roles, and familiarity with technologies like AWS and Kubernetes.

At Atlassian, employees have flexibility in choosing their work environment, whether in the office, at home, or a combination of both, which supports their personal priorities. The company is seeking to hire a Principal Data Scientist to analyze customer friction and generate insights that will enhance product quality. This role requires strong business instincts, experience with executive communication, and proficiency in statistical analyses and natural language processing (NLP) methods. Key responsibilities include influencing customer strategy, defining metrics for the Executive team, and fostering a Data Science culture through mentorship and training. Candidates should possess extensive experience in data science, machine learning, SQL, and visualization tools, alongside a proven track record of impactful project leadership.

Atlassian offers a flexible work environment where employees can choose to work from the office, home, or both, enhancing their ability to balance personal and professional commitments. The company is seeking interns for the Summer 2025 Intern Program, which provides an opportunity to influence how millions of users collaborate through software development. The paid internship lasts 12 weeks, is open to entry-level candidates with less than a year of professional experience, and does not offer U.S. visa sponsorship for international students. Interns in the Security team will report to a Security Engineering Manager, gaining mentorship from experienced Security Engineers. Responsibilities include building monitoring systems, automating vulnerability detection, suggesting security improvements, and securing infrastructure.

At Atlassian, employees have the flexibility to work from the office, home, or a combination of both, allowing them to balance personal and professional priorities. The company is committed to a distributed-first model, conducting interviews and onboarding virtually. Atlassian’s focus is on reinventing B2B selling, emphasizing the conversion of free trials into satisfied customers, and aims for rapid growth in this area. The Data & Analytics team plays a crucial role in supporting business partners by leveraging data to enhance customer success and overall revenue operations. The responsibilities of a role within this team include collaborating with leadership to develop data-driven strategies, identifying areas for improvement, and driving initiatives for performance enhancement in customer engagement and retention.

Atlassian's mission is to "unleash the potential of every team," reflected in products like Jira, Confluence, and Trello, which support various teamwork processes. Employees, or Atlassians, enjoy flexibility in their work environments, choosing to work from the office, home, or a combination, enhancing their ability to balance personal priorities. The company operates as a distributed-first organization, hiring globally and conducting virtual interviews and onboarding. Data plays a crucial role at Atlassian, with billions of events analyzed monthly to inform decision-making across teams. They are currently seeking a Senior Data Engineering Manager to lead the Data Engineering team in developing essential data products, provide mentorship, and manage team priorities for optimal efficiency.

Atlassian offers its employees flexible work options, allowing them to work from the office, home, or a combination of both to better accommodate their personal and family needs. The company has a distributed-first approach, where interviews and onboarding processes occur virtually, enabling hiring across various countries. They are currently looking for a Senior Principal Machine Learning Engineer to join their Central AI organization, which focuses on building AI infrastructure and capabilities to foster innovation across Atlassian products. This role involves developing advanced machine learning algorithms, collaborating with various teams, and ensuring a unified AI user experience. Responsibilities also include designing system architectures, conducting experiments, mentoring junior engineers, and integrating AI features into the product lineup.

At Atlassian, a hybrid Principal Program Manager position is available, requiring candidates to be based in San Francisco or Seattle and work at least two days a week in the office. The role involves supporting the CTO Strategic Initiatives team in delivering strategic programs aimed at enhancing the engineering organization. Key responsibilities include managing various programs such as the Engineering onboarding program, early careers program, and talent growth initiatives. The ideal candidate must possess comprehensive program management skills, build strong relationships with senior leadership, and drive clarity to ensure effective decision-making. Additionally, the role entails defining KPIs to measure program success and contributing to the development of program management practices.

At Atlassian, employees have the flexibility to choose their work environment, whether in-office, remotely, or a hybrid of both, supporting their personal and family priorities. The company operates globally, conducting interviews and onboarding virtually as a distributed-first organization. The Growth team focuses on enhancing customer experiences by increasing traffic to Atlassian's products and is characterized by its diverse members with various skill sets. Team members leverage data to run experiments that improve product offerings and user experiences by streamlining processes. The role involves collaborating across teams to ensure operational excellence, adopt innovative technologies, and align technical strategies with broader business goals.

Atlassian offers flexibility in work arrangements, allowing employees to choose between office work, remote work, or a hybrid approach that supports their personal needs. The company conducts virtual interviews and onboarding for its distributed workforce, enabling global hiring wherever they have legal entities. The Data Engineering Team, composed of data experts, develops data solutions and manages analytical models and pipelines for various business areas. They maintain a unified data lake to facilitate comprehensive analysis of customers, products, and operations. A current job opening for a Data Engineer includes responsibilities such as enhancing engineering practices, developing backend systems, and fostering a data-driven culture within Atlassian.

Atlassian offers flexible work arrangements, allowing employees to choose their work environment, whether from home, the office, or a mix of both. The company is seeking an experienced lawyer to join their Commercial Legal team, with responsibilities including negotiating enterprise cloud agreements and collaborating closely with the Sales team to finalize customer deals. This remote position requires the candidate to be located in the United States Eastern or Central time zones and will report to the Commercial Legal Director for Enterprise Sales in the Americas East. Ideal candidates should possess extensive experience in negotiating SaaS contracts, understand data protection and cybersecurity issues, and demonstrate excellent communication and collaborative skills. Atlassian values creativity in problem-solving and seeks individuals who can effectively navigate the complexities of a decentralized organization.

The job opportunity for an Atlassian Site Reliability Engineer (SRE) involves enhancing the performance and reliability of services, addressing incident root causes, and automating repetitive tasks. The ideal candidate will collaborate with team members, embracing a culture of inquiry and problem-solving instead of seeking to have all the answers. Responsibilities include responding to system alerts, participating in on-call rotations, and ensuring products meet service level agreements (SLAs). Candidates should possess innovative problem-solving skills and be ready to take ownership of their code from development to production. The role emphasizes continuous improvement and collaboration within the team, ensuring a dynamic work environment.

At Atlassian, employees have the flexibility to choose their work environment, whether in an office or remotely, allowing for better personal and family support. The company is currently seeking a Senior Machine Learning Engineer with a focus on statistics to join its Core Machine Learning team. This team is responsible for developing and deploying machine learning modeling solutions that enhance revenue generation and provide accurate forecasting for the company's metrics. The role entails collaborating across various departments, building scalable forecasting algorithms, and guiding junior engineers. Candidates should possess a Master's or PhD in a quantitative field, have significant experience in machine learning and forecasting, and be adept at communicating complex concepts to diverse audiences, while familiarity with agile methodologies is also an advantage.

At Atlassian, employees can choose their work environment, whether in an office, at home, or a hybrid of both, allowing greater flexibility to meet personal priorities. The company is hiring a Principal Business Intelligence Engineer to join a dedicated team focused on utilizing advanced analytics to address business challenges. This role involves transforming raw data into meaningful insights, developing dashboards, and measuring key performance indicators related to Cloud Migrations. The ideal candidate should have a strong background in data engineering, proficiency in SQL, and excellent data visualization skills, while being comfortable navigating ambiguity in a dynamic setting. Additional responsibilities include collaborating with senior leaders, designing and optimizing metrics, managing data pipelines, and improving user experience with business intelligence tools.

Atlassian offers a flexible work environment, allowing employees to choose between office, home, or hybrid setups to better support their personal and family priorities. The company conducts virtual interviews and onboarding processes, facilitating global hiring within North American time zones for eligible candidates. The Development Lifecycle group, which focuses on improving developer productivity and software delivery safety, is seeking a Senior Manager for their Deployment Verification stream. This role involves managing a continuous delivery-focused team, implementing strategies for deployment safety, and fostering collaboration to enhance operational efficiency. Candidates should have a strong background in DevOps, leadership experience, and familiarity with continuous delivery technologies, ideally possessing a degree in a related field.

Atlassian offers employees the flexibility to work in various environments, including in-office, remote, or a hybrid approach, which supports personal and family priorities. The company is seeking a Senior Machine Learning Engineer with a focus on statistics to join its Core Machine Learning team, which aims to develop ML solutions for revenue generation and forecasting. This role involves collaborating with various organizational stakeholders and includes building scalable forecasting algorithms while guiding junior engineers. Candidates are expected to have advanced degrees in quantitative fields, significant experience in the machine learning domain, and the ability to communicate effectively with diverse audiences. Ideal qualifications include experience in consumer or B2B SaaS products, proficiency in Python, and a focus on iterative development for practical business applications.

At Atlassian, employees have the flexibility to choose their work environment, whether in an office, remotely, or a hybrid of both. This approach allows staff to better manage their family, personal goals, and priorities. The company is able to hire talent globally in countries where it has a legal presence. Both interviews and onboarding are conducted virtually, reflecting Atlassian's distributed-first ethos. Additionally, a role-playing exercise is included in the interview process for certain positions, such as the Loom Account Associate.

Atlassian offers its employees the flexibility to work from the office, home, or a combination of both, allowing them to prioritize personal and family needs. The company facilitates hiring in any country where it has a legal entity, promoting a distributed-first approach. Interviews and onboarding processes are conducted virtually. A role play is included as part of the interview process for certain positions. This approach reflects Atlassian's commitment to adaptability and remote work integration.

Atlassian offers flexible work arrangements, allowing employees to work from the office, home, or a combination of both, while hiring talent globally where it has legal entities. They are seeking a Senior Machine Learning Engineer with a statistics focus to join their Core Machine Learning team, which develops and deploys ML solutions aimed at enhancing revenue and user engagement. The role involves collaborating across various departments and requires expertise in building scalable forecasting algorithms, as well as effective communication of complex data science concepts. Candidates should hold a Master’s or Ph.D. in a quantitative field and possess at least five years of relevant experience, with skills in Python and familiarity with SQL and cloud environments. Atlassian emphasizes an agile development mindset and the importance of balancing output quality with timely delivery, with a preference for candidates experienced in either consumer SaaS products or enterprise B2B solutions.

At Atlassian, employees have the flexibility to work from the office, home, or a combination of both, enabling better support for personal and family priorities. The company is seeking a Senior Machine Learning Engineer with a focus on statistics to join its Core Machine Learning team, which collaborates across various departments to develop machine learning solutions that enhance revenue generation and forecasting. The role involves creating scalable forecasting algorithms, collaborating with both technical and business teams, and mentoring junior engineers. Candidates should possess a Master’s or PhD in a quantitative field and have at least five years of experience in forecasting and machine learning, with skills in Python, SQL, and cloud environments. Additionally, an agile mindset and effective communication skills are essential for conveying complex data science concepts to diverse audiences.

Atlassians have the flexibility to choose their work environment, whether it be remote, in an office, or a combination of both. This approach allows employees to better manage their personal priorities and family commitments. The company hires globally wherever it has a legal presence, and both interviews and onboarding processes are conducted online. As a distributed-first organization, Atlassian incorporates virtual role plays into their interview procedures. This reflects their commitment to a seamless and inclusive hiring process for candidates across various locations.

At Atlassian, employees have the flexibility to choose their work environment, whether in the office, remotely, or a hybrid of both, allowing them to better balance family and personal priorities. The company is seeking a Principal Business Intelligence Engineer to join a dynamic team focused on utilizing advanced analytics to address business challenges. This role involves transforming raw data into actionable insights, developing dashboards, and supporting key performance indicators related to Cloud Migrations. The ideal candidate should possess skills in data engineering, SQL, and data visualization, and be comfortable navigating ambiguity in a fast-paced setting. Responsibilities include collaborating with senior leaders to define technical requirements, managing data products, and enhancing the user experience of BI tools.

At Atlassian, employees have the flexibility to work from home, in the office, or a mix of both, promoting a balance between personal and professional responsibilities. The company operates as a distributed-first organization, enabling hiring across various countries and conducting virtual interviews and onboarding. They are currently seeking a Principal Business Intelligence Engineer to join a dynamic team that focuses on leveraging advanced analytics to solve business challenges. The role involves translating raw data into actionable business insights, developing dashboards, and measuring the performance of Cloud Migrations while collaborating with senior leaders. Candidates should possess a strong background in data engineering, SQL proficiency, and the ability to engage with executive stakeholders, along with skills in data visualization and managing data pipelines.

Atlassian offers flexible work arrangements, allowing employees to work from the office, home, or a combination of both, enabling them to better manage personal and family priorities. The company is seeking a Principal Business Intelligence Engineer to join a dynamic team focused on utilizing advanced analytics to solve business challenges. The role involves transforming raw data into actionable insights, developing dashboards, and supporting performance metrics related to Cloud Migrations. Candidates should have strong data engineering skills, proficiency in SQL, and experience presenting to executives while being comfortable in a fast-paced, ambiguous environment. The responsibilities include managing data pipelines, creating reports and analyses, collaborating with data engineers, and providing training on business intelligence tools.

At Atlassian, employees have the flexibility to work from various locations, including offices, homes, or a combination of both, allowing them to prioritize personal and family commitments. The company is hiring a Principal Business Intelligence Engineer to join a dedicated team focused on leveraging advanced analytics to solve business challenges. This role involves translating raw data into actionable insights, building dashboards, and supporting key performance indicators related to Cloud Migrations. The ideal candidate should have expertise in data engineering, SQL, data visualization, and experience working with executive stakeholders in a dynamic environment. Responsibilities include designing and optimizing business metrics, managing data pipelines, and providing training for users on business intelligence tools while continuously enhancing the dashboard experience.

Atlassian offers flexible work arrangements, allowing employees to work from home, in the office, or a combination of both. They are hiring for a Senior Principal Machine Learning Engineer within their Central AI organization, which focuses on developing foundational AI infrastructure and capabilities across all products. The mission of Central AI is to enhance AI innovation and ensure a cohesive user experience while promoting collaboration among different teams. The role involves steering the development of advanced machine learning algorithms and integrating AI functionalities in various products, along with mentoring junior engineers. Responsibilities include designing system architectures, conducting experiments, and evaluating models to leverage AI's transformative potential within Atlassian.

Atlassian offers flexible work arrangements for employees, allowing them to decide between working in-office, remotely, or a combination of both, which helps them balance personal goals and family commitments. The company is seeking a Demand Generation Strategist to create and execute campaigns aimed at increasing demand for their Teamwork Foundations solution, specifically around Jira Expansion. This role involves developing B2B demand generation strategies, collaborating with various internal teams, and managing targeted marketing initiatives for the non-tech audience. Ideal candidates will have over four years of experience in B2B demand generation, a passion for data-driven marketing, and strong program management skills. The position emphasizes cross-functional collaboration, leveraging marketing analytics, and enhancing customer engagement through creative campaigns.

Atlassian offers flexible work arrangements, allowing employees to choose between office, home, or a hybrid setup to better manage personal and family commitments. The company is currently seeking a Principal Data Scientist who will analyze customer friction to enhance product offerings, requiring expertise in statistical analysis, NLP, and LLM. This role will involve working within the Service Enablement Team of the Customer Support Organization to influence strategic decisions using data-driven insights. The ideal candidate should have over eight years of experience in Data Science, knowledge of machine learning methods, and strong programming skills in SQL and a relevant data science language like Python or R. Responsibilities include developing measurement frameworks, leading data science training, and delivering high-quality output while managing the balance between immediate needs and long-term perfection.

Atlassian offers flexible work options, allowing employees to work from home, in the office, or a combination of both, which supports their personal priorities. The company is hiring interns for their Summer 2025 Intern Program, where candidates will engage in meaningful projects that impact millions of users. Interviews and onboarding are conducted virtually, aligning with Atlassian's distributed-first approach to work. The internship lasts 12 weeks and is targeted at entry-level candidates with less than a year of professional experience, excluding internships or co-ops. Interns will work within the Site Reliability team, engaging with production systems and utilizing a wide range of technologies while developing technical skills in a dynamic environment.

Atlassian offers flexible work options for its employees, allowing them to choose between working in the office, from home, or a hybrid of both. The company conducts virtual interviews and onboarding, showcasing its commitment to a distributed-first model. The Development Lifecycle group, seeking a Senior Manager for Deployment Verification, focuses on enhancing developer productivity and ensuring safe software releases. This role involves managing a team dedicated to continuous delivery, developing safety strategies for deployments, and collaborating across departments to improve the software delivery process. Candidates should have a relevant degree, extensive DevOps experience, and leadership skills, along with familiarity with continuous delivery tools and cloud technologies.

Atlassian offers employees the flexibility to work from home, in an office, or a combination of both, allowing for better management of personal and family priorities. The company is seeking a Principal Data Scientist to analyze customer friction and provide insights to enhance product offerings. This role involves utilizing analytics, Natural Language Processing (NLP), and data science techniques to identify customer pain points and develop solutions. The ideal candidate should have extensive experience in Data Science, including expertise in machine learning methods and project management, as well as proficiency in SQL and a programming language like Python or R. This position also includes mentoring other team members and fostering a strong Data Science culture within the organization.

Atlassian offers its employees flexible work arrangements, allowing them to choose between remote work, office-based work, or a hybrid model. The company is currently looking for a Principal Data Scientist to analyze customer friction and provide insights that will enhance their products. Candidates should have extensive experience in data science, particularly in using machine learning, natural language processing (NLP), and large language models (LLM). Responsibilities for this role include influencing corporate strategy through data insights, developing measurement frameworks, and fostering a strong data science culture within the company. Ideal applicants should have strong technical skills, experience in managing machine learning projects, and the ability to communicate complex concepts effectively to various audiences.

At Atlassian, employees can choose their work location, whether in an office or remotely, promoting flexibility to align with personal and family needs. The company is seeking a Senior Machine Learning Engineering Manager to join its Core Machine Learning team, which focuses on implementing advanced AI/ML solutions that drive revenue and enhance user engagement. The role involves managing the complete ML lifecycle and collaborating with various departments, including product management and marketing, while also mentoring team members. Candidates should have extensive experience in managing machine learning teams and building scalable models, along with strong communication skills to present complex concepts clearly. Atlassian values innovation and practicality, encouraging iterative development to balance quality and timely deliverables.

At Atlassian, employees enjoy flexible work arrangements, allowing them to work from the office, home, or a combination of both to better manage personal and family priorities. The company is currently looking for a Senior Principal Machine Learning Engineer to join its Central AI organization, which is focused on developing foundational AI infrastructure and capabilities across Atlassian's products. Central AI aims to foster AI innovation by providing a unified user experience and facilitating collaboration among different teams to prevent siloed work. The Senior Principal Machine Learning Engineer will be responsible for the development and deployment of advanced machine learning algorithms, collaborating closely with various teams to integrate AI into Atlassian’s offerings. Daily responsibilities will include designing architectures, conducting experiments, model evaluations, and mentoring other ML engineers to leverage AI's potential in the product suite.

Atlassian offers employees flexible work arrangements, allowing them to choose between office-based, remote, or hybrid work to better support personal and family priorities. The Senior Engineering Manager role involves technical leadership and people management for a team of 5-10 engineers, focusing on guiding technical decisions and providing mentorship. The position requires collaboration with Legal and Technical Program Manager counterparts to develop tools that address a variety of legal needs. Candidates should have at least 7 years of experience managing engineers, particularly in SaaS products, and possess a degree in Computer Science or a related field. Familiarity with the legal domain and a commitment to continuous improvement and dev-ops practices will be advantageous for applicants.

At Atlassian, employees have the flexibility to choose their work environment, whether in-office, remote, or hybrid, promoting a balance between personal and professional goals. The company emphasizes a distributed-first approach, conducting virtual interviews and onboarding. They are currently looking for a Principal Program Manager to join the CTO Strategic Initiatives team, focusing on delivering strategic programs to enhance the engineering organization. The role requires a comprehensive skill set in program management, including early talent development and data analytics, to assess and improve program effectiveness. The Principal Program Manager will design and manage initiatives for Engineering Interns, collaborating with cross-functional partners and defining metrics to ensure sustainable programming.

Atlassian offers flexible work options, allowing employees to choose between office-based, remote, or hybrid arrangements to better manage their personal and family priorities. The company is seeking a Senior Machine Learning Engineering Manager for its Core Machine Learning team, which focuses on developing AI/ML solutions that enhance revenue generation and user engagement through sophisticated forecasting. This role involves overseeing the complete machine learning lifecycle and requires collaboration with various teams, including product management and data engineering. Successful candidates should have significant experience in managing ML engineering teams and building scalable ML models, along with strong communication skills to convey technical concepts to diverse stakeholders. Atlassian promotes a culture of innovation and collaboration while emphasizing the importance of practicality and iterative improvement in the development process.

Atlassian offers flexible work arrangements, allowing employees to choose between working in an office, from home, or a combination of both, supporting their personal and family goals. The company has a global hiring approach, conducting virtual interviews and onboarding as part of its distributed-first culture. Atlassian places emphasis on equitable and competitive compensation, with pay ranges based on geographic zones and primarily determined by a candidate's skills and experience. They are currently seeking a Director of Product Counsel to join their legal team, contributing to the launch of products while ensuring compliance with legal requirements. The role entails collaborating with leadership and legal experts on innovative projects, including addressing novel legal issues like artificial intelligence.

Atlassian offers flexible work options, allowing employees to choose between working from the office, home, or a combination of both, thus supporting their personal and family goals. The company is seeking a Machine Learning Engineer to join its Core Machine Learning team, which focuses on creating ML modeling solutions to enhance revenue and user engagement through sophisticated forecasting. The position involves collaboration with various business units and requires skills in developing scalable forecasting algorithms and leveraging human-in-the-loop methodologies for model improvement. Candidates should possess a Master’s or PhD in a quantitative field, along with experience in machine learning and forecasting, and have proficiency in Python and familiarity with cloud data environments. While not required, experience in consumer SaaS products or enterprise B2B spaces is advantageous, as well as an ability to communicate complex data science concepts effectively.

At Atlassian, employees have the flexibility to choose their work environment, whether it be in an office, remotely, or a mix of both, allowing them to prioritize family and personal goals. The company adopts a distributed-first approach, handling interviews and onboarding virtually, while this particular position requires coordination within the Pacific Standard Timezone. They are looking for a Principal Program Manager to join the CTO Strategic Initiatives team, focusing on the delivery of strategic programs aimed at enhancing the engineering organization. The ideal candidate will possess a comprehensive skill set in program management, with experience in early talent development, data analytics, and managing global programs. Key responsibilities include designing scalable programs for Engineering Interns, collaborating with cross-functional teams, defining program goals and metrics, and ensuring the overall effectiveness and sustainability of engineering talent programs.

Atlassian offers its employees the flexibility to work from home, in the office, or a mix of both, allowing them to prioritize personal and family needs. The company hires globally, conducting virtual interviews and onboarding to support its distributed-first model. The Lead Program Manager - Talent will collaborate with the Talent leadership team to drive strategic talent initiatives across the organization. Responsibilities include program management, stakeholder management, project management, and data analysis to ensure talent programs align with company objectives. The role emphasizes building relationships, managing resources, and analyzing data for informed decision-making regarding talent effectiveness.

Atlassian offers flexible work options, allowing employees to choose between office, home, or hybrid arrangements, which supports personal and family goals. The company is currently seeking a Senior Machine Learning Engineering Manager for its Core Machine Learning team, responsible for developing AI/ML models to enhance revenue and user engagement. The role involves managing the entire machine learning lifecycle, implementing new techniques, mentoring team members, and collaborating with various departments. A successful candidate should have a Master's or PhD in a quantitative field, over five years of experience in managing machine learning teams, and a strong ability to communicate complex concepts. Atlassian values agility and a balance between quality output and timely delivery, fostering a culture of innovation and collaboration within the team.

Atlassian offers flexible work arrangements, allowing employees to work from the office, home, or a hybrid model to support their personal and family commitments. The company is hiring a Machine Learning Engineer for its Core Machine Learning team, which focuses on developing and deploying machine learning solutions to enhance revenue generation and user engagement. This role involves collaboration across various departments, utilizing cutting-edge techniques in machine learning and forecasting while addressing complex business problems. Candidates are expected to have advanced degrees in quantitative fields, experience in machine learning, and proficiency in programming languages like Python. The ideal applicant should also have an agile development mindset and strong communication skills, with additional experience in SaaS or B2B environments being a plus.

Atlassian offers flexible work arrangements, allowing employees to choose whether to work in an office, remotely, or a combination of both. This flexibility helps Atlassians balance their work with family, personal goals, and other priorities. The company can hire talent from any country where it has a legal entity, reflecting its distributed-first approach. Interviews and onboarding processes are conducted virtually. Additionally, the interview process includes a role play component for certain positions.

Atlassian offers flexible work arrangements, allowing employees to choose between working in an office, from home, or a hybrid model, providing control over personal priorities. The company is seeking a Machine Learning Engineer to join its Core Machine Learning team, which focuses on creating and implementing ML solutions to enhance revenue and user engagement. This role involves collaboration with various stakeholders across the company and emphasizes the development of scalable forecasting algorithms. Ideal candidates should have a Master’s or PhD in a relevant quantitative field, experience in machine learning and forecasting, and skills in Python and SQL, among other qualifications. A background in SaaS or B2B environments, along with the ability to tackle complex problems and communicate effectively, would be beneficial but not required.

At Atlassian, employees have the flexibility to choose their work environment, whether in an office, at home, or a mix of both. This approach allows Atlassians to better accommodate their family and personal commitments. The company is open to hiring individuals from any country where it operates legally. Interviews and onboarding processes are conducted virtually, aligning with Atlassian's distributed-first model. Additionally, the interview process includes a role play component as part of the evaluation.

At Atlassian, employees can choose their work environment, whether that's in an office, remotely, or a mix of both, giving them greater control over their personal and family commitments. The company is open to hiring talent from any country where it has a legal presence. All interviews and onboarding processes are conducted virtually, reflecting Atlassian's commitment to being a distributed-first organization. The interview process includes a role play component to assess candidates' skills. More detailed information about the interview process can be found on Atlassian's internal resources.

Atlassian offers flexible work options, allowing employees to choose their work environment, whether in-office, remote, or both, while supporting personal goals and responsibilities. The company conducts virtual hiring and onboarding processes, enabling them to hire talent globally, particularly from within the North American time zone. Within the Development Lifecycle group, various teams work to enhance the software development process, focusing on delivering changes safely and efficiently. They are seeking a Senior Manager for the Deployment Verification stream to oversee a team dedicated to improving release safety and developer productivity, ensuring that developers operate in a secure environment for delivering features. The ideal candidate should possess significant experience in DevOps practices and leadership, along with a background in relevant technologies and project management.

At Atlassian, employees have the flexibility to choose their work environment, whether it be in the office, at home, or a combination of both. This approach allows team members to balance work with personal responsibilities and goals. The company can hire talent globally in any country where they maintain a legal presence. Interviews and onboarding processes are carried out virtually, reflecting Atlassian's commitment to being a distributed-first organization. Additionally, a role play exercise is incorporated into the interview process for certain positions.

At Atlassian, employees have the flexibility to choose their work environment, whether in an office, at home, or a mix of both, allowing them to better manage family and personal priorities. The company hires talent globally in any country where it has a legal entity. Interviews and onboarding are conducted virtually, reflecting Atlassian's commitment to being a distributed-first organization. The interview process includes a role play component. Additional information about the interview process can be found on Atlassian's internal resources.

Atlassian offers flexible work options for its employees, allowing them to work from the office, home, or a combination of both, contributing to a better work-life balance. The company conducts virtual interviews and onboarding as part of its distributed-first approach and hires globally where it has legal entities. Atlassian's mission is to redefine B2B selling by focusing on converting free trials into satisfied customers through a fast-growing business model. The Data & Analytics team plays a key role in supporting business partners and driving top-line growth by providing data-driven insights and reporting. The position involves collaborating with Customer Success leadership, executing change management projects, and identifying opportunities for improvement in customer engagement and retention metrics.

Atlassian offers flexible work arrangements, allowing employees to choose between office, home, or hybrid work settings, which helps them balance their personal and family commitments. The company is seeking a Machine Learning Engineer to join its Core Machine Learning team in Mountain View, CA, where they will develop and implement advanced machine learning algorithms, particularly in recommendation systems. This role involves collaboration with various stakeholders across different departments and focuses on driving business impact through machine learning solutions. Ideal candidates will hold a Master’s or PhD in a quantitative field, have over three years of experience in machine learning, and possess strong programming skills in Python. While experience in the SaaS or B2B sectors and working with recommendation systems is preferred, it is not mandatory; critical skills include problem-solving and an agile development mindset.

At Atlassian, employees have the flexibility to choose their work environment, whether from an office, home, or a combination of both. This flexibility allows them to better manage personal commitments and priorities. The company is able to hire globally in any country with a legal entity, reflecting its distributed-first approach. Interviews and onboarding are conducted virtually to accommodate this structure. Additionally, a role play is included as part of the interview process for specific positions.

At Atlassian, employees have the flexibility to choose their work environment, whether in an office, at home, or a mix of both. This arrangement allows Atlassians to prioritize personal and family needs effectively. The company hires globally, offering opportunities in any country where it has a legal presence. Interviews and onboarding processes are conducted virtually to align with their distributed-first approach. Additionally, candidates can expect a role play component during the interview process.

Atlassian offers flexible work arrangements, allowing employees to choose between office, home, or hybrid work environments to better balance personal and professional priorities. The company is hiring a Machine Learning Engineer for its Core Machine Learning team, which focuses on creating ML modeling solutions that enhance revenue generation and user engagement. This role involves developing sophisticated forecasting algorithms as part of a collaborative team that works closely with various stakeholders across the organization. Ideal candidates should have a Master's or PhD in a quantitative field, at least three years of relevant experience, and strong programming skills in Python, amongst other technical requirements. The position emphasizes an agile development mindset and the ability to communicate complex concepts effectively, while experience in consumer-focused SaaS or enterprise B2B environments is beneficial but not mandatory.

At Atlassian, employees have the flexibility to choose their work environment, whether that's in an office, at home, or a mix of both. This approach allows team members to align their work with family commitments and personal objectives. The company hires talent globally, wherever it has legal operations, facilitating a diverse workforce. Interviews and onboarding processes are carried out virtually, reflecting its commitment to a distributed-first work culture. This flexibility is integral to Atlassian's values and operational structure.

Atlassian offers flexible work arrangements, allowing employees to work in offices, from home, or a hybrid of both, enhancing their ability to manage personal goals and family responsibilities. The company is seeking a Machine Learning Engineer to join their Core Machine Learning team, responsible for building and deploying ML modeling solutions that drive revenue and user engagement. The Core Machine Learning team collaborates across various departments, including Growth and Finance, focusing on machine learning infrastructure and applications that create business impact. Candidates should have a Master's or PhD in a quantitative field, at least three years of relevant experience in forecasting and machine learning, and proficiency in Python and cloud environments. Ideal applicants should also possess strong problem-solving skills and the ability to communicate complex data science concepts effectively.

At Atlassian, employees have the flexibility to choose their work environment, whether in an office, remotely, or a mix of both. This setup allows staff to better manage their family, personal aspirations, and other priorities. The company has the capability to hire globally, wherever there is a legal entity. Interviews and onboarding processes are conducted virtually, aligning with Atlassian's distributed-first approach. Additionally, candidates can expect to participate in a role play during the interview process.

Atlassian offers flexible work arrangements, allowing employees to work from the office, home, or a mix of both. This approach empowers employees to better manage their personal and family commitments. The company hires globally in any location where it has a legal entity. Interviewing and onboarding processes are conducted virtually to support the company's distributed-first model. Additionally, role-playing is included as part of the interview process for certain positions.

Atlassian offers flexible work options for its employees, allowing them to work from the office, home, or a combination of both, enhancing personal and family support. The company is currently seeking a Machine Learning Engineer to join its Core Machine Learning team, which focuses on developing and deploying machine learning solutions to drive revenue and enhance user engagement. The role involves collaborating with various stakeholders to build scalable forecasting algorithms and utilizing advanced machine learning techniques to solve challenging problems. Candidates are expected to have a Master's or PhD in a quantitative field, along with experience in forecasting and machine learning, and proficient in relevant programming and data environments. Although experience in SaaS or B2B environments and a knowledge of CICD processes is preferred, it is not strictly required for applicants.

At Atlassian, employees have the flexibility to choose their work environment, whether it's in the office, at home, or a mix of both, allowing them to balance personal and professional responsibilities. The company conducts virtual interviews and onboarding, emphasizing its distributed-first approach and the ability to hire globally where it has legal entities. In the role described, you will analyze product and platform components while collaborating with stakeholders to develop a long-term strategy and roadmap. Your responsibilities include translating strategic goals into technical requirements, managing complex projects, and exploring innovative technologies to enhance product development. Ultimately, you will take ownership of your designated area, proactively addressing challenges, identifying opportunities, and ensuring alignment across the Finance Tech portfolio.

At Atlassian, employees have the flexibility to choose their work environment, whether in an office, from home, or a hybrid of both, allowing for better personal and family support. The company conducts interviews and onboarding virtually, reflecting its commitment to being a distributed-first organization. In the realm of design training, there is a focus on creating engaging learning experiences by developing comprehensive training materials and understanding business needs. Strong stakeholder relationships are emphasized to gather feedback on content effectiveness, manage vendor interactions, and facilitate decision-making amidst uncertainty. Additionally, Atlassian prioritizes knowledge management by maintaining updated training resources, utilizing eLearning technologies, and implementing measurable evaluation processes to enhance learning experiences for its global audience.

At Atlassian, employees have the flexibility to choose their work environment, whether it's in the office, from home, or a hybrid arrangement. This approach enables team members to better manage their family commitments, personal goals, and other priorities. The company can recruit talent from any country with a legal entity, facilitating a diverse workforce. The interview and onboarding processes are conducted virtually, in line with Atlassian's distributed-first philosophy. Additionally, role play is incorporated into the interview process for certain positions, enhancing the assessment of candidates.

Atlassian offers flexible work options, allowing employees to work from the office, home, or a combination of both to better manage personal priorities. They are hiring a Senior Machine Learning Engineer focused on statistics for their Core Machine Learning team, which aims to build and implement ML solutions that drive revenue and user engagement. This role includes responsibilities such as developing scalable forecasting algorithms, collaborating with cross-functional teams, and providing mentorship to junior engineers. Candidates should have advanced degrees in quantitative fields, substantial experience in machine learning and forecasting, and strong communication skills to convey complex concepts effectively. Ideal applicants will be proficient in Python and familiar with data environments and agile development practices, while experience in SaaS products is a plus but not required.

Atlassian provides employees with the flexibility to work remotely, in the office, or a hybrid of both, allowing them to balance personal and family commitments. The company conducts interviews and onboarding virtually, emphasizing its distributed-first approach. In the role described, employees will analyze their platform's state and collaborate with stakeholders to develop long-term strategies and roadmaps for product components. Responsibilities include translating requirements into technical solutions, managing complex projects, and driving execution while identifying and addressing blockers. Ultimately, the position requires a sense of ownership over the platform and its components, with an emphasis on proactively addressing challenges and opportunities.

Atlassian offers flexible working arrangements, allowing employees to choose between office-based, remote, or hybrid work to better manage personal and family commitments. They emphasize a distributed-first approach, conducting interviews and onboarding virtually. The company prioritizes design and development of both engaging in-person and online learning experiences tailored to learner needs, while ensuring consistency and alignment with organizational objectives. Strong stakeholder management is essential, as it involves building relationships, gathering feedback on content usage, and managing external vendors for learning materials. Finally, the emphasis on measurable outcomes aims to improve employee capabilities through standardized metrics and data-driven evaluations of learning programs.

At Atlassian, employees can work from various locations, including offices or from home, giving them flexibility to balance personal and professional obligations. The company employs a distributed-first approach, conducting virtual interviews and onboarding for candidates around the world. The role involves designing engaging training materials, assessing learner needs, and collaborating closely with various stakeholders to enhance learning experiences. Additionally, knowledge management is essential to keep training content current and effective, utilizing existing technology to reach a global audience. The focus is on measurable outcomes to evaluate and improve learning initiatives, ensuring they align with the overall goals of the organization.

At Atlassian, employees have the flexibility to choose their work environment, whether it's from an office, home, or a hybrid approach, allowing them to better balance personal and professional commitments. The company hires globally, with virtual interviews and onboarding reflecting its distributed-first culture. The design and development of engaging learning experiences involve creating various educational materials tailored to learner needs while acting as a learning consultant for business requirements. Building strong relationships with stakeholders and managing external vendors are crucial for effective training delivery, requiring problem-solving skills and proactive decision-making. Additionally, the focus on knowledge management ensures that training materials remain current and relevant, while leveraging eLearning technologies facilitates scalable and interactive learning experiences that can be measured for effectiveness.

Atlassian offers its employees flexible working arrangements, allowing them to work in offices, from home, or a combination of both to better accommodate personal and family needs. The company is currently seeking a Machine Learning Engineer to join their Core Machine Learning team, which focuses on developing and deploying machine learning models aimed at enhancing revenue and user engagement. This role involves collaborating with various departments and requires expertise in Python and experience with forecasting and machine learning in a business context. Candidates should possess a Master's or PhD in a quantitative field and have at least three years of relevant experience. Ideal applicants will also demonstrate strong problem-solving skills and an agile development mindset, with additional experience in consumer-focused SaaS or enterprise B2B environments being a plus.

Atlassian offers flexible work arrangements, allowing employees to choose between working in an office, from home, or a combination of both, which supports their personal and professional priorities. The company conducts virtual interviews and onboarding, reflecting its distributed-first approach. They are seeking a Senior Engineering Manager to lead a team of 5-10 engineers, responsible for guiding technical decisions and promoting career growth within the team. The role requires collaboration across various departments, particularly with legal and technical teams, to deliver impactful solutions while managing critical projects. Ideal candidates should have extensive experience in managing engineers and a strong background in software engineering, preferably within a legal business context.

Atlassian offers flexible work arrangements, allowing employees to choose between office work, remote work, or a combination of both to better support their personal and family priorities. The company is seeking a Machine Learning Engineer to join its Core Machine Learning team in Mountain View, CA, which is responsible for developing and deploying machine learning solutions aimed at revenue generation and user engagement. This role involves collaborating across various departments to design and implement large-scale recommendation systems and apply AI/ML to enhance business intelligence. Candidates should possess a Master's or PhD in a quantitative field, have at least three years of experience in machine learning, and demonstrate proficiency in Python, SQL, and cloud data environments. Experience with recommendation systems, deep learning, and agile development is a plus, along with strong problem-solving skills to address complex challenges.

Atlassian offers employees the flexibility to choose their work environment, allowing them to work in an office, from home, or in a hybrid model. This approach enables individuals to better balance their personal and family needs. The company can hire globally in any country where it has a legal entity. Interviews and onboarding are conducted virtually, reflecting Atlassian's commitment to a distributed-first structure. Additionally, role plays are incorporated into the interview process for certain positions.

Atlassian has been recognized as a leader in the 2024 Gartner® Magic Quadrant™ for DevOps Platforms for the second consecutive year, noted for enhancing engineering velocity and compliance through its tools and new AI capabilities. The company offers flexible work options, allowing employees to choose their work location, which supports personal and family priorities. Atlassian emphasizes three core pillars—amazing tools, empowered teams, and an excellent engineering culture—that foster developer satisfaction. The company is currently looking for a DevExp Solutions Sales Executive in the AMER region to lead sales efforts, manage client relationships, and drive revenue growth. This role involves executing the sales strategy, collaborating with clients and partners, and ensuring customer feedback is integrated to improve Atlassian's solutions.

Atlassian offers flexible work arrangements, allowing employees to work from home, the office, or a combination of both, giving them control over their work-life balance. The company is hiring a Senior Machine Learning Engineer, focusing on developing and implementing ML algorithms for forecasting and other business applications. The Core Machine Learning team collaborates across multiple departments to build and deploy sophisticated modeling solutions that drive company revenue and user engagement. Candidates should have a Master’s or PhD in a quantitative field and at least five years of relevant experience, especially in forecasting and machine learning. The role requires strong communication skills, expertise in Python, and an agile mindset to produce high-quality outputs while embracing constant iteration and improvement.

Atlassian offers flexible work arrangements, allowing employees to choose between office-based, remote, or hybrid setups to better accommodate personal and family needs. The company's recruitment process is entirely virtual, aligning with its distributed-first ethos, and positions like Support Engineer are crucial for aiding global teams through troubleshooting and customer engagement. These engineers take the lead in customer interactions, providing updates and ensuring exceptional service while collaborating across internal teams to address technical issues. Applicants for these roles should have significant experience in technical support and a strong set of troubleshooting and database skills, along with the ability to manage escalations and maintain client relationships. Additional desirable skills include familiarity with web technologies, network terminology, and scripting languages, all aimed at promoting efficient problem-solving and customer satisfaction.

Atlassian offers flexible work options, allowing employees to choose between office, remote, or hybrid arrangements to better support their personal and family priorities. The company is distributed-first, conducting interviews and onboarding virtually, and hires globally wherever it has a legal entity. Atlassian Support Engineers play a crucial role in assisting customers by troubleshooting technical issues and ensuring high-quality service to foster long-term customer relationships. They are responsible for effective communication with customers, maintaining transparency about case progress, and collaborating with various teams to advocate for customer needs. Qualified candidates should have extensive technical support experience, strong troubleshooting skills, and the ability to engage with enterprise customers while promoting a customer-first approach.

Atlassian offers flexible work arrangements, allowing employees to choose their work environment, whether in-office, remote, or a hybrid model, supporting personal and family priorities. The company is hiring for a Senior Machine Learning Engineering Manager to join the Core Machine Learning team, which focuses on developing AI/ML solutions for revenue generation and forecasting. This role involves managing the complete machine learning lifecycle, employing novel techniques, and mentoring team members while ensuring high-quality output and collaboration with various departments. Candidates should have significant experience managing machine learning teams, a strong quantitative background, and the ability to communicate complex data science concepts effectively. Ultimately, Atlassian seeks to foster a culture of innovation and continuous improvement within their machine learning initiatives.

Atlassian offers its employees the flexibility to choose their work location, whether in an office, at home, or a hybrid of both. This model allows employees to better manage their family responsibilities and personal goals. The company can hire talent from any country where it has a legal presence. Interviews and onboarding processes are conducted virtually, reflecting its distributed-first approach. A role play component is included in the interview process for certain positions.

At Atlassian, employees have the flexibility to choose their work environment, whether in-office, remote, or a hybrid arrangement, allowing them to balance personal and professional priorities. The company hires globally wherever it has a legal presence, facilitating a diverse workforce. Interviews and onboarding processes are conducted virtually, reflecting Atlassian's commitment to a distributed-first model. A role play is included as part of the interview process for certain positions. This approach emphasizes adaptability and employee empowerment within the organization.

At Atlassian, employees can choose to work from the office, remotely, or through a hybrid model, giving them flexibility to manage their personal and family commitments. The company allows hiring from any country where it operates legally, which broadens its talent pool. All interviews and onboarding processes are conducted virtually, reflecting its distributed-first approach. As part of the interview process for certain positions, candidates may need to participate in a role play exercise. This method demonstrates Atlassian's emphasis on practical skills and adaptability in its recruitment strategy.

Atlassian offers flexibility in work arrangements, allowing employees to choose between working in an office, remotely, or a hybrid model. This flexibility enables employees to better manage their family, personal goals, and other priorities. The company can hire globally in any country where it has a legal entity, reflecting its distributed-first approach. Interviews and onboarding are conducted virtually to accommodate this global hiring strategy. Additionally, a role play component is included in the interview process for certain positions.

At Atlassian, employees enjoy flexible work arrangements, allowing them to choose between office, home, or hybrid work environments to better support personal and family goals. The company is currently seeking a Machine Learning Engineer to join its Core Machine Learning team in Mountain View, CA, which focuses on developing ML solutions to enhance revenue growth and user engagement. The role involves designing and implementing advanced machine learning algorithms, particularly for recommendation systems, while collaborating with various teams across the organization. Ideal candidates should have a Master's or Ph.D. in a quantitative field, over three years of experience in machine learning, proficiency in Python, and a strong understanding of data environments. While experience in B2C SaaS products and developing recommendation systems is a plus, the role emphasizes problem-solving skills and an agile development mindset.

Atlassian offers flexible work options, allowing employees to work from home, the office, or a combination of both, empowering them to balance personal and professional responsibilities. The company is currently seeking a Senior Machine Learning Engineer with a focus on statistics to join its Core Machine Learning team, which is responsible for developing and deploying ML solutions to enhance revenue generation and forecasting capabilities. The role involves collaboration across various departments and focuses on building scalable forecasting algorithms through innovative machine learning techniques. Candidates should have a strong quantitative background, significant industry experience in forecasting and machine learning, and the ability to effectively communicate complex concepts to diverse audiences. While not mandatory, experience in consumer or SaaS settings, along with familiarity with agile development practices, is considered an asset for potential applicants.

Atlassian offers flexible work arrangements, allowing employees to choose between office, home, or a hybrid work model to accommodate personal and family needs. The company operates as a distributed-first organization, enabling hiring in any country with a legal entity and conducting virtual interviews and onboarding. Support Engineers play a crucial role in assisting global customers by troubleshooting and answering queries related to Atlassian products, while ensuring a high-quality service experience. Key responsibilities include problem-solving complex technical issues, maintaining communication with various teams, and advocating for customer needs. Candidates for this role are expected to have extensive experience in technical support, database skills, and familiarity with network technologies, along with a customer-focused and collaborative mindset.

Atlassian allows employees to work from various locations, including remotely, promoting flexibility to accommodate family and personal priorities. They have a position open for a Senior Machine Learning Engineer with a focus on statistics, who will join the Core Machine Learning team responsible for developing and implementing advanced ML models to enhance revenue and user engagement. The team collaborates across multiple departments and values rapid execution and real business impact in its projects. Ideal candidates should possess a Master's or PhD in a quantitative field, substantial industry experience in forecasting and machine learning, and strong communication skills to explain complex concepts. Familiarity with programming languages like Python and tools like SQL, along with an agile mindset and focus on practical solutions, are essential for success in this role.

Atlassian offers flexible work options for employees, allowing them to choose between office, home, or hybrid work environments, which supports their personal and family priorities. The company is currently seeking a Machine Learning Engineer for its Core Machine Learning team in Mountain View, CA, which focuses on developing and deploying machine learning solutions to enhance revenue and user engagement. This role involves collaboration with various stakeholders and requires the implementation of advanced algorithms, particularly for recommendation systems. Ideal candidates should have a Master's or PhD in a quantitative field, along with substantial experience in machine learning and proficiency in relevant technologies. A background in consumer SaaS or enterprise B2B spaces is advantageous but not mandatory, as the role emphasizes problem-solving and innovation in machine learning applications.

Atlassian is offering internship opportunities for individuals interested in making a significant impact on software collaboration for millions of users. Interns will join a dynamic team that includes experts from various fields, such as machine learning engineers and system engineers, and will work collaboratively across multiple organizational sectors. The internship emphasizes applying machine learning techniques to solve business challenges, particularly in areas like recommendation engines and Generative AI. Atlassian values creativity and innovation, encouraging interns to explore new ideas while being guided by core principles and supported by a knowledgeable team. However, it’s important to note that the company does not provide visa sponsorship for international students at this time.

Atlassian offers its employees the flexibility to choose their work environment, whether that be in an office, remotely, or a hybrid model, promoting work-life balance and personal priorities. The company is seeking a Principal Data Scientist to analyze customer friction and generate insights that will guide product improvements. Ideal candidates should have strong business instincts, proficiency in NLP/LLM, extensive experience in Data Science, and the ability to collaborate with cross-functional teams. Responsibilities include influencing strategy through data insights, building measurement frameworks, and fostering a strong Data Science culture through training and mentorship. The role requires expertise in machine learning methods, SQL, and data visualization tools, along with a commitment to delivering high-quality outputs.

Atlassian offers flexible work arrangements, allowing employees to work from the office, home, or a combination of both, enhancing their ability to manage personal commitments. The company operates as a distributed-first organization, conducting interviews and onboarding processes virtually while hiring in any country with a legal entity. The role involves analyzing platform and product components to develop a long-term strategy in collaboration with stakeholders, translating strategies into technical requirements, and executing the roadmap with a focus on project management within the Fin Tech sector. Responsibilities include managing dependencies, exploring technology applications, and making decisions on product development approaches, all while maintaining a strong sense of ownership over assigned components and processes. Employees are encouraged to identify and address challenges proactively, reinforcing their accountability in driving successful outcomes for their areas.

Atlassian is offering a summer internship that allows participants to make a significant impact on how millions of users collaborate through software. Interns will be encouraged to innovate and explore new ideas while being guided by the company's core values and supported by experienced professionals in the tech industry. The role involves using data, reporting, and analytics to support a leading product by aligning data science priorities, improving user journeys, and delivering insights that influence strategic decisions. Candidates should be proficient in SQL or programming languages like Python, have experience with dashboarding tools, and possess skills in data analysis and machine learning. The internship is a full-time, 12-week program during Summer 2025, available only to students currently enrolled in a master's degree program with expected graduation by June 2026, and does not provide visa sponsorship.

Atlassian is offering an internship opportunity for the summer where interns can influence how millions of users collaborate and utilize software. Interns will be empowered to use their creativity and will adhere to the company's core values while receiving guidance from experienced professionals. The role involves utilizing data, reporting, and analytics to help scale the company and improve customer experiences through data-driven insights and recommendations. Interns will need to have skills in programming languages, dashboarding tools, and statistical analysis, and should be enrolled in a master's degree program, graduating by June 2026. Notably, Atlassian cannot provide visa sponsorship for this internship.

At Atlassian, employees have the flexibility to work from an office, home, or a combination of both, allowing them to better manage personal priorities and family needs. The company operates on a distributed-first model, conducting interviews and onboarding virtually in various countries where they have legal entities. Atlassian's mission focuses on reinventing B2B selling by effectively converting free trials into satisfied customers, with an emphasis on the Customer Success Management (CSM) organization. The Data & Analytics team collaborates with CSM leadership to create data-driven insights and reporting aimed at improving customer engagement and retention metrics. This role entails identifying improvement opportunities and executing projects that drive cross-functional change, influencing executive decision-making with detailed analyses.

Atlassian offers employees flexibility in their work locations, allowing them to choose between the office, home, or a hybrid arrangement. This approach gives Atlassians greater control over personal commitments and family needs. The company can hire talent from any country where they have a legal presence, facilitating a global workforce. The interviews and onboarding processes are conducted virtually, reflecting their distributed-first business model. Additionally, candidates can expect a role play to be part of the interview process for certain positions.

Atlassian offers flexibility in work locations, allowing employees to choose between working in the office, from home, or a hybrid approach. This arrangement enables Atlassians to better manage personal responsibilities and goals. The company is open to hiring talent from any country where it has a legal entity. Interviews and onboarding processes are conducted virtually, reflecting Atlassian's commitment to being a distributed-first organization. Additionally, candidates can expect a role play to be included in the interview process.