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Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity, giving employees control over family, personal goals, and priorities. SMB Account Executives guide SMB customers through the Atlassian cloud journey, demonstrate product value, advocate for customers with insights to product and engineering teams, collaborate with Product specialists and Marketing, and serve the company’s top 30,000 SMB customers with a customer-centric, innovative mindset. They report to the Sales Manager in their geographic region, the role is remote with flexibility and autonomy, and Atlassian seeks candidates to build a new growth motion while embracing change and operating as part of a collaborative team. Key duties include being the main contact for designated SMB accounts, handling inbound leads and generating pipeline through outbound prospecting, sequences, and cold calling, and developing territory plans to maximize expansion and ensure customer success across a broad product portfolio. They must build strategic relationships, articulate the value proposition, provide regular accurate sales forecasts and updates to management, and stay current on industry trends, market dynamics, and competitors within the US market.

Atlassian is a distributed-first company with flexible work locations, conducting interviews virtually and hiring in countries where it has a legal entity, with more details at their distributed work page. The Grad++ program offers hands-on technical training, mentorship, and social connections to launch new grads’ careers, though Canada new grad roles do not include immediate work visa sponsorship; PGWP or open work permits are welcome, and roles are located in Vancouver, Burnaby, or Richmond. The machine learning teams collaborate with Growth, GTM, Product, Finance, and Sales to deliver ML infrastructure and model applications, composed of ML and systems engineers, prioritizing speed and business impact. This role provides opportunities to work in a collaborative environment and apply cutting-edge ML techniques such as search/recommendation engines, GenAI applications, and LLM training. Responsibilities include focusing on ML applications for recommendations and personalization, building ML models and GenAI projects, and translating business problems into technical solutions.

Atlassian supports flexible work locations—office, home, or a hybrid—hiring globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Senior Principal Engineer is a highly experienced engineer who collaborates across departments to deliver transformational, scalable solutions and acts as a mentor and role model for others. The role involves defining technical direction and OKRs for Central AI, tackling the largest and most complex problems from design to launch, and driving company-wide initiatives across multiple projects. Responsibilities include owning key OKRs and end-to-end outcomes in a microservices environment, championing scalability, reliability, and performance, and driving engineering and operational excellence along with continuous improvements and key operational metrics. It also emphasizes improving developer productivity, partnering with senior engineering and product leaders to build strategy and earn customer trust, and helping hire and mentor engineers to foster an open, innovative, and responsible culture.

Atlassian supports flexible work locations—office, home, or hybrid—and hires people anywhere with a legal entity; interviews and onboarding are virtual as part of being a distributed-first company. The role is fully remote but requires you to be located in US Pacific or Mountain time zones. They are looking for a Senior Fullstack Software Engineer focused on delivering creative improvements for engineering teams. You will guide the technical direction and implementation of large-scale product features, evaluate trade-offs, collaborate across product, design, and engineering, and ship well-tested, secure, and maintainable code while addressing production issues as they arise. You will contribute to code reviews and documentation, manage complex bug fixes with security and reliability in mind, and mentor teammates to upgrade their skills.

Atlassian offers flexible work options—office, remote, or hybrid—and conducts virtual interviews and onboarding as part of its distributed-first culture. The company hires in any country where it has a legal entity. The role is fully remote but must be located in the US Pacific or Mountain time zones. They’re seeking a Principal Backend Software Engineer focused on unblocking challenges in the software development cycle, delivering solutions used by other teams, and planning large projects. Responsibilities include solving architecture challenges, leading code reviews and documentation, handling high-risk bug fixes, setting standards for meaningful reviews, partnering across teams on company-wide projects, transferring knowledge between languages, and mentoring junior engineers.

Atlassian supports flexible, distributed work—employees can work in an office, from home, or in a hybrid arrangement—with interviews and onboarding conducted virtually; this is a remote position, and you must be located in the Pacific Standard Timezone to help teams collaborate. You will join the CTO Strategic Initiatives team as a Principal Program Manager (Technical) to lead high-impact Engineering Recruiting efforts, applying a data-driven approach to evolve recruiting workflows, optimize the recruiting funnel, and improve quality of hires. You will manage complex, end-to-end strategic programs, dig into the engineering landscape, and build strong relationships with senior leadership and cross-functional teams. Your responsibilities include owning the execution of strategic programs, representing Engineering in recruiting initiatives, developing program plans, identifying resource needs, and balancing project schedules, dependencies, and risks. You will establish KPIs to measure recruiting initiatives, translate business requirements into technical specifications and tooling requirements, provide regular updates to stakeholders and executives, and drive initiatives to enhance Atlassian Engineering's brand to attract top talent.

Atlassian offers flexible work options and can hire globally where it has a legal entity. They are seeking a Senior Machine Learning Scientist to join the Central AI team in Bellevue, WA. Central AI builds the underlying infrastructure, data pipelines, frameworks, and models to accelerate AI feature development and is part of the Atlassian Intelligence program to drive AI innovation across products with a unified foundation. While most AI initiatives will be developed by federated product teams, Central AI remains pivotal for providing shared infrastructure and core AI experiences like search, knowledge discovery, and conversation. The Senior ML Engineer will design and implement cutting-edge ML algorithms, train sophisticated models, collaborate with product, engineering, and analytics teams, design system and model architectures, conduct experiments and evaluations, and mentor junior ML engineers to realize AI's transformative potential across Atlassian offerings.

Atlassian supports flexible work arrangements—office, home, or hybrid—and hires globally where they have a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. The role is fully remote but must be located in US Pacific or Mountain time zones. They’re seeking a Principal Fullstack Software Engineer focused on delivering creative improvements for engineering teams. Responsibilities include understanding the user journey, collaborating to influence product strategy, guiding technical direction for large-scale features, evaluating trade-offs for correctness, performance, and customer impact, and shipping well-tested, secure, reliable, maintainable code while addressing inefficiencies and participating in reviews and bug fixes. The role also involves mentoring teammates, improving the growth engineering team, and removing blockers to software engineering excellence through design principles, testing, performance, and security/privacy best practices.

Atlassian offers flexible work arrangements, allowing employees to work from the office, home, or a combination of both, to better manage personal and family priorities. The Grad++ program at Atlassian provides recent graduates with technical training, professional development, and mentorship, setting them up for success within the company. Open positions are available in Burnaby, Vancouver, or Richmond; however, candidates must have valid work permits as grad roles do not sponsor Canada work visas. The engineering team at Atlassian focuses on developing innovative, AI-driven products that enhance collaboration for millions of users worldwide, maintaining high standards through agile practices. Responsibilities for engineering roles include building scalable features, managing projects end-to-end, collaborating in agile teams, and innovating with AI/ML technologies to solve complex technical challenges.

Atlassian offers flexible work options, allowing employees to choose between office, home, or a hybrid setup to better support their personal and family needs. The company conducts virtual interviews and onboarding, emphasizing its distributed-first approach. Its intern program provides a comprehensive experience that includes technical training, mentorship, and networking opportunities aimed at fostering successful careers. Interns will work within a top-tier engineering organization focused on AI-driven innovation and will be directly involved in developing impactful features for Atlassian's products. Candidates must be located in British Columbia and should have the appropriate work permits, as internship roles are not eligible for Canadian work visa sponsorship.

Atlassian offers flexible work options, allowing employees to choose their work environment—whether in the office, from home, or a hybrid of both—to better support personal and family priorities. The company is hiring for a Machine Learning Scientist position within its Central AI team based in Bellevue, WA, which focuses on building the infrastructure and tools necessary for AI feature development across the organization. This Central AI team is part of the broader Atlassian Intelligence program, aiming to create a unified AI experience that enhances collaboration among various product teams. The role involves developing machine learning algorithms, training models, and collaborating with other teams to integrate AI functionalities into Atlassian's products and services. Additionally, the Machine Learning Engineer will be responsible for designing architectures, conducting experiments, and mentoring junior engineers to ensure the effective realization of AI capabilities.

Atlassian offers its employees flexibility in their work arrangements, allowing them to choose between office work, remote work, or a blend of both, thereby enabling them to balance personal and professional commitments. As a distributed-first company, Atlassian conducts virtual interviews and onboarding for potential hires in any country with a legal entity. The company serves over 300,000 global customers, aiming to enhance team potential through innovative software solutions while fostering a supportive team culture where employees work collaboratively. Sales team members play a crucial role in building and maintaining relationships with key stakeholders, implementing strategic sales plans, and collaborating with internal teams to ensure customer satisfaction. Candidates seeking to join the team should have a strong background in enterprise software sales, experience with C-level relationships, and a consultative approach to uncover business opportunities.

Atlassian offers flexible work options allowing employees to choose between working from the office, home, or a hybrid setup, promoting a better work-life balance. The company conducts virtual interviews and onboarding as it embraces a distributed-first model. The role involves collaborating with sales teams and Fortune 500 clients to identify business challenges, map solutions to Atlassian products, and demonstrate software value. Candidates should have 5+ years of experience in pre-sales engagements, strong communication skills, and be adept at problem-solving in technical and business contexts. Atlassian seeks dynamic team members who are customer-centric, thrive in a collaborative environment, and are committed to continuous growth and success for both clients and the company.

At Atlassian, employees have the flexibility to choose their work environment, whether in-office, remote, or a hybrid of both, allowing them to balance personal and family commitments. The company operates as a distributed-first organization, enabling global hiring and virtual onboarding processes. The role in focus involves designing and deploying high-performance data and machine learning pipelines for search functionalities, emphasizing the importance of data infrastructure and model development for improved search ranking and personalization. Collaboration with cross-functional teams is essential to establish data standards and ensure best practices in data quality, governance, and operational excellence. Additionally, the position involves mentoring engineers and advocating for MLOps and DataOps practices to enhance model deployment and experimentation efficiency.

Atlassian offers flexible work options, allowing employees to collaborate effectively from home, global offices, or both, as part of their distributed-first company model where all interviews occur virtually. The internship program focuses on hands-on technical training, professional growth, and mentorship, aimed at supporting students in launching successful careers at Atlassian. The internship, based in British Columbia, requires candidates to be able to work from that location without sponsorship for a Canada work visa; those with student or open work permits may apply. Interns will engage with cross-functional teams to identify and execute high-impact data science projects that align with business goals, enhancing user journey and customer value through data analysis. Responsibilities include building dashboards, analyzing trends, and collaborating with product teams to translate insights into product enhancements.

At Atlassian, employees can choose to work remotely or from one of their global offices, as the company promotes a distributed-first approach and conducts all interviews virtually. The internship program offers hands-on training, mentorship, and opportunities for professional growth, aimed at setting students up for future success within the organization. This specific intern position is based in British Columbia, and candidates must be able to work from that location; however, roles are not eligible for work visa sponsorship in Canada. Interns will be part of the Data Engineering team, where they will influence product teams, enhance data quality, and generate insights to improve product experience and operational efficiency. Responsibilities may range from defining metrics to ensuring data quality and governance, as well as developing scalable data solutions.