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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.

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 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 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 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.

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 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.

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 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.

Atlassian offers flexible work arrangements, allowing employees to choose between office, home, or hybrid work to better support their personal and family goals. The company hires globally and conducts interviews and onboarding virtually, reflecting its commitment as a distributed-first organization. They are seeking a Senior HR Business Partner (HRBP) to collaborate with sales and success leaders to enhance organizational performance and team development. The role involves executing people strategies, driving transformational programs, and leveraging analytics to inform decision-making. Additionally, the HRBP will focus on promoting diversity, equity, and inclusion while coaching leaders in talent management and organizational change.

Atlassian offers flexible work arrangements, allowing employees to choose between office, remote, or hybrid setups, enhancing their ability to manage personal and family commitments. The company is currently seeking a Demand Generation Manager to lead marketing campaigns aimed at promoting its core Cloud products, particularly focusing on their AI product, Rovo. The ideal candidate will have experience in B2B demand generation, a creative mindset for developing unique marketing strategies, and a strong aptitude for funnel analytics. Responsibilities include audience segmentation, collaboration on marketing campaigns across various channels, and measuring campaign performance to inform future strategies. Candidates should possess over six years of demand generation experience, expertise in marketing automation, and strong program management and communication skills.

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

We are looking for a Senior engineer who is passionate about scaling Cloud services to join our growing SRE team. The SRE team owns the Caching infrastructure, tooling and automation that supports Atlassian’s suite of Cloud products.

The ideal candidate is a technical leader who is aware of current industry trends (particularly those related to reliability). You have experience mentoring and growing team members and love to share your knowledge with others. We'd love it if you brought a deep understanding of modern Cloud infrastructure, programming expertise, operational experience and a desire to change the status quo. We're looking for an engineer who can analyze and help improve our services and processes to get us to an even higher level of reliability, performance, scalability, and cost efficiency.

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

We are looking for an engineer who is passionate about scaling cloud services to join our growing SRE team. The SRE team owns the caching infrastructure, tooling, and automation that support Atlassian’s suite of Cloud products.

We'd love it if you had an understanding of modern cloud infrastructure, programming expertise, operational experience and a desire to change the status quo. We're looking for an engineer who can analyze and help improve our services and processes to get us to an even higher level of reliability, performance, scalability, and cost efficiency.

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team

Loom is the video communication platform for async work that helps companies communicate better at scale. The Media & Intelligence Team lives at the heart of Loom's product development, providing a set of libraries, services, platforms, and APIs used across our systems to power recording, playback, editing, and advanced AI features.

We are looking for a senior software engineer to contribute to our media systems. You will report to the Senior EM of this team and collaborate with broad cross functional teams. This role can be remote or work from one of Atlassian's US offices.

What you'll do

• Build the server-side and client-side infrastructure that enables engineering teams to build world-class video messaging products.

• Design and implement media features that delight our users and differentiate Loom’s products and services from our competitors.

• Uphold a high standard of engineering excellence because the performance and reliability of media infrastructure directly impact our product experience, hence the perception of Loom’s overall brand.

• Diagnose and improve the quality of the end-to-end video experience. Optimize our media pipelines to be performant across all the platforms.

• Display strong ownership and influence over the team's roadmap.

Working at Atlassian

As a Senior Manager,Data Science in CSS, you will lead a team of data scientists to drive transformative changes through ML / AI solutions for Customer Support. You will be a strategic partner to senior business leaders, identifying opportunities and solving complex business problems. Your role will involve building AI/ ML strategies, providing insights, and ensuring the delivery of high-quality outcomes.

The perfect candidate will be a seasoned people leader with a background in applied AI, data science or a related quantitative field. You have strong business acumen, you are comfortable with ambiguity and complexity, and you have experience working with senior leaders and cross functional teams. You are a self-starter, a strategic thinker, a data-driven problem solver, and a humble learner. You have demonstrated success in using data science to drive understanding, progression, and decision making for large organizations.

Responsibilities:

• Team Leadership: Lead, and develop a team of data scientists, ML Engineers and Software Engineers with strong technical skills and business acumen.

• Strategic Partnership: Collaborate with senior leaders to identify business opportunities and bring innovation to these opportunities through the lens of AI / ML.

• Cross-Functional Collaboration: Work with cross-functional teams to drive initiatives and ensure impactful results. Be comfortable with ambiguity and ready to jump in to help drive initiatives to completion.

• AI / ML Strategy: Be a thought leader in building AI/ML strategies, thinking of scalable and iterable solutions.

• Data Science Solutions: Develop data science solutions and work with peer teams to measure their impact on business outcomes, define metrics that measure success and communicate the outcome to the business.

• Communication: Effectively communicate complex ideas in simple terms and advocate for the team's work, working with many stakeholders that may not have technical backgrounds.

Working at Atlassian

Atlassian acquired Loom to lead in remote first, asynchronous work. With Loom's async video expertise and Atlassian's team collaboration understanding, we aim to innovate and empower customers for richer collaboration. Join us on our mission to make the impossible possible.

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. To help our teams work together effectively, this role is fully remote, but requires you to be located between PT and ET.

We're looking for a Principal Full Stack Software Engineer to join the Loom Distribution Engineering team. This team is responsible for working across the stack to build new distribution channels and high-quality, seamless experiences that help users discover and engage with our products. As the technical lead for this team, you will drive continued innovation and own application quality across these experiences and the backend services that power them.

In this role, you will:

• Regularly tackle the largest and most complex problems on the team, from technical design to launch

• Guide the technical direction and implementation of large-scale product features

• Be a champion across the Atlassian organisation for continually raising the technical bar and evangelising a high technical standard

• Enforce modern paradigms and help others to use GraphQL, Node.js, and React in a modern, scalable way

• Transfer your depth of knowledge and share best engineering practices to improve engineering excellence

• Mentor and grow the next generation of technical leaders at Atlassian

• Partner with leads across RnD disciplines to define a compelling product and technical strategy

As an Application Engineer in Core HR Tech, you’ll work with teams across the world, to continuously improve the technologies that power Atlassian’s People engine! You bring expertise in Application development (particularly Workday platform), are comfortable with a dynamic environment, and extremely motivated to engineering practices and operational excellence. You are enthusiastic and interested in making positive contributions to the team. Your passions include working with technology, defining and refining ways of working, and providing world class support to employees.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $205,800 - $274,400

Zone B: $185,200 - $246,900

Zone C: $170,800 - $227,700

This role may also be eligible for benefits, bonuses, commissions, and equity.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

• Design, build, test and deploy solutions primarily utilizing tools and capabilities from third party applications such as Workday integrations and configurations, middleware such as Workato, as well as custom engineered builds as needed to deliver project outcomes

• Utilize their deep techno functional experience in HR Technology and engineering practices to lead Core HR technology projects and support team members to solve complex and ambiguous problems

• Own the technical evolution of Core HR systems and capabilities within People tech

• Drive incremental improvements to team technical processes and practices

• Responsible for the operational quality of team’s deliverables

• Mentor and support team members

• Collaborate with product and business teams to create and plan project and product roadmaps

• Play an active role in defining SaaS product roadmaps, vendor QBRs, and assessment discussions. Hold vendors accountable for their operational quality and service level commitments

• Partner with peer engineering teams to solve common problems and sharing best practices to make a positive impact across the broader organization beyond our team.