Atlassian Careers

Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

About Atlassian

Atlassian's mission "to unleash the potential of every team" is the guiding light behind what we do. We have developed well-known products such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.

Atlassian helps teams everywhere change the world. Our products are revolutionizing the software industry, and helping teams collaborate and create the magic that provides their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to promote humanity.

About Central AI Org

Our organization is designed to accelerate AI innovation across all our products and platform, provide cohesive AI experiences, and setup up an Atlassian AI infrastructure for the future. Our purpose is to:

Build horizontal AI capabilities and infrastructure which provide leverage across products

Build a centralized Search, Q&A, and Conversational AI across all Atlassian products.

Explore the integration of Atlassian products with AI products outside Atlassian.

About AI & ML Platform Team

Our team is building the foundations to democratize Machine Learning for Atlassian's teams, customers and ecosystem. Our goal is to create tools that are user-friendly and reliable, ensuring that Atlassian teams can easily embrace and utilize them. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences. They will seamlessly integrate with the Atlassian Data Platform, enabling teams to efficiently and rapidly incorporate AI & ML capabilities into their workflows. The focus is on providing a smooth and hassle-free experience for Atlassian users, allowing them to leverage the power of AI & ML without any complications.

Job description

As a Principal Engineer on the AI & ML Platform team, you will build and shape the core infrastructure to allow software engineers, ML engineers & data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines. Along with that, you will build systems for product teams like Jira & Confluence to provide access to curated LLMs. You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges.

You will have the opportunity to lead engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results.

In this role, you'll get the chance to:

• Regularly tackle the largest and most complex problems in the team, from technical design to launch.
• Deliver solutions that are used by other teams and products.
• Routinely tackle complex architectural challenges and define architectural standards.
• Lead code reviews & documentation as well as take on complex bug fixes, especially on high-risk problems.
• Partner across engineering teams to take on company-wide initiatives spanning multiple projects.
• Mentor junior members of the team.
• Our tech stack is primarily Java/Kotlin built on AWS.
• On your first day, we'll expect you to have
• Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python).
• Understanding of Machine Learning project lifecycle and tools.
• Experience in architecting and implementing high-performance RESTful microservices.
• Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security, and Networking).
• Experience with Continuous Delivery and Continuous Integration.

It would be great, but not required if you have

Expert-level SQL knowledge, query tuning, schema design, and ETL processes.

Experience with Databricks or Apache Spark.

Experience with Amazon Sagemaker.

Experience with scaling and deploying Machine Learning models.

Experience with using LLMs.

Our perks & benefits

To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.

About Atlassian

The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To learn more about our culture and hiring process, explore our Candidate Resource Hub.

Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team

Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, relevant insights, and recommendations.

We're growing quickly, so you'll need to help scale the processes for sustainable growth across the Economy organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this is a great fit!

What you'll do

• Use data to understand complex customer experiences on Atlassian's website (e.g. www.atlassian.com, support.atlassian.com and confluence.atlassian.com). Analyze how customers navigate our website and identify opportunities for improvement.
• Define success metrics and report on KPI for Atlassian's websites. Research and explain trends and their impact on the success of the overall business.
• Accelerate web experimentation through best practices, tooling and clear recommendations.
• Build instrumentation and web tracking in collaboration with partners and engineers to establish a solid data foundation for this space.
• Collaborate with engineers, marketers & senior leadership to bring data to the forefront of our decisions.

• 5+ years of experience in analytics, data science, or other quantitative field
• Advanced proficiency in SQL
• Experience defining and auditing web instrumentation requirements and web analytics
• Experience designing and analyzing various types of web experimentation (e.g. A/B testing quasi-experimentation, rollout etc.)
• Experience collaborating with senior management and translating insights into decisions and actions
• An knack for crafting raw data and analysis into well-written content
• while maintaining the highest standard of work
• Proficiency with data visualization best practices and tools such as Tableau
• Familiarity partnering with multiple business functions. For example: Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teams
• An agile development mentality, appreciating the benefit of constant iteration and improvement

Our perks & benefits

To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.

About Atlassian

The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To learn more about our culture and hiring process, explore our Candidate Resource Hub.

Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team

We're looking for a Data leader with business instincts and analytics mastery that has led projects improving data science efficiency. You are someone that is passionate about applying these skills to increase data quality, reduce the need for data scientists to perform data engineering tasks and love working across the organization to create the proper data layer to increase data science productivity.

You will be reporting to our Head of Experimentation.

What you'll do

• Draw on your expertise in understanding software development lifecycle and developer productivity to think about what are data and insights features that we should ship to our internal data science customers to influence the way they work.
• Partner with the data engineering and platform teams to Identify and support a short, medium and long-term portfolio of projects that improves data assets used across data science.
• Envision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and data scientists.
• Guide the creation of tools that allow a centralized data framework that improves the efficiency, quality and capabilities of all data analysts and scientists.
• Oversee business case development, data requirement gathering (including metrics and definitions), establishing acceptance criteria, QAing, and testing for new transformational data products from start to finish to ensure everything is implemented and validated.
• Work across marketing and product to develop monitoring and action plans across the data quality lifecycle (instrumentation → transformation → data/metrics/segments)
• Lead, coach, and build solutions from within a center of excellence.
• Collaborate with the Business Intelligence team to define and achieve standard segment and metric definitions and governance.
• Contribute into overall Data Science team OKRs.
• Be part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how data is used to make decisions.
• Guide demo sessions and education roll out for new data products and features to ensure adoption and usage.

• 10+ years of experience with a combination of data science, analytics and data engineering experience.
• Experience working with software and data engineering teams, an understanding of the software development. lifecycle, what drives software team to succeed and exposure to typical software engineering tools (e.g. Jira, SCM, CI/CD systems).
• Expertise in data modeling, (e.g. SQL, Python), knowledge of cloud data environments (e.g. AWS), and experience with DBT, data ETLs, and UAT processes.
• An Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future".
• Experience applying your analytics skills to identify and lead projects that have had impact on strategic and product roadmap decisions
• A very high bar for output quality; with experience coaching teams to balance thoughtfulness, perfection and speed.
• Experience in at least one visualization tool (e.g. Tableau, R-Shiny, dash, Microstrategy)
• Comfort explaining complex concepts to diverse audiences (such as Product Managers, Designers, Engineers), and creating compelling stories.
• Project management and prioritization experience; preferably with Data Engineering, Product Management, and Software Engineering teams.

Compensation

At Atlassian, we tie our base pay ranges to role and level. In the United States, that means your base pay ranges will fall into one of three geographic pay zones depending on your location. Our current base pay ranges for new hires in each zone are:

Zone A: $186,000 - $285,000

Zone B: $167,000 - $257,000

Zone C: $154,000 - $237,000

Within each range, base pay is determined based on your skills and experience. This role may also be eligible for benefits, bonuses, commissions, and/or 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.

#LI-Remote

Our perks & benefits

To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.

About Atlassian

The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To learn more about our culture and hiring process, explore our Candidate Resource Hub.

Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is hiring a data scientist to join our newly formed People Insights team, a cross-disciplinary group of analysts, data scientists, behavioral scientists, researchers and business partners, who use data and research to inform strategic and operational issues facing our leaders, teams, and people. You will drive a product-driven, iterative approach to creating, testing, and automating insights about Atlassian's people and teams.

What you'll do

• Collaborate with behavioral scientists, business partners and others to understand the people insights needed to drive decision-making at Atlassian, and design products and insights in a way that motivates and inspires action.
• Conduct rigorous analyses to uncover data-driven people insights, and then test and iterate to understand feasibility and interest before scaling.
• Help scale compelling insights from people data by building automated internal processes and/or products.
• Learn from and collaborate with other Data Scientists, and mentor others on the team

• Expert knowledge of advanced statistical methods (e.g., could include: regression, cluster analysis, HLM, social network analysis, text analysis, longitudinal methods, etc.)
• 6+ years of experience working with people data (e.g., survey data, HR data, psychological study data, human behavior data) in an applied setting
• Ability to translate data into compelling and easy-to-understand insights, stories, and narratives that resonate with a non-technical audience
• Knowledge of experimental methods
• Advanced Python or R skills
• Proficiency in reading and writing SQL queries
• Knowledge of Git is a plus
• Strong cross-functional collaboration skills

Compensation

At Atlassian, we tie our base pay ranges to role and level. In the United States, that means your base pay ranges will fall into one of three geographic pay zones depending on your location. Our current base pay ranges for new hires in each zone are:

Zone A: $186,300 - $285,800

Zone B: $167,700 - $257,200

Zone C: $154,600 - $237,200

Within each range, base pay is ultimately determined based on your skills, expertise, and experience. This role may also be eligible for benefits, bonuses, commissions, and/or 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.

Our perks & benefits

To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.

About Atlassian

The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

To learn more about our culture and hiring process, explore our Candidate Resource Hub.