Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead and grow a high-performing ML team to design and deliver end-to-end AI features for DevAI products. Drive LLM integration, prompt engineering, technical strategy, project delivery, stakeholder alignment, and process optimization while mentoring engineers and managing performance.
Top Skills:
Ai/MlData ScienceDeep LearningLlm IntegrationMachine LearningPrompt Engineering
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Design, build, and operate scalable, low-latency search and retrieval systems powering Atlassian products. Develop and serve production ML models (neural rankers, embeddings, rerankers) using PyTorch and Triton. Implement vector indexing and RAG/agentic retrieval pipelines, ensure observability and cost optimization, manage on-call/runbooks, and collaborate cross-functionally while mentoring junior engineers.
Top Skills:
Embedding ModelsFinopsNeural RankersPyTorchReranking SystemsRetrieval PipelinesRetrieval-Augmented Generation (Rag)Semantic SearchTritonVector Indexing Systems
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Backend engineer building data-heavy, distributed streaming platforms. Design and operate resilient, high-throughput low-latency pipelines using JVM languages and streaming systems. Deploy and run services across cloud providers, use cloud primitives and infrastructure-as-code, and take ownership of delivery while collaborating with cross-functional teams.
Top Skills:
AWSFlinkGCPInfrastructure-As-CodeJavaKafkaKinesisKotlinS3Sqs
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.
In this role, you will:
Minimum Qualifications / Your background:
Desirable Qualifications
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: $201,600 - $263,200
Zone B: $181,800 - $237,350
Zone C: $167,400 - $218,550
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.
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
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 provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
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.
In this role, you will:
- Collaborate on a variety of product and business problems with a diverse set of cross-functional partners, become a trusted strategic partner, and build credibility through the structure and clarity of your work.
- Apply technical expertise with statistical analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.
- Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.
- Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.
- Partner with cross-functional teams to inform, influence, and execute strategy decisions
- Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.
- You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.
- You will use storytelling techniques to communicate insights broadly, including to company leadership teams.
Minimum Qualifications / Your background:
- 8+ Years of Experience in Data Science or related fields
- Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
- Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
- Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
- Experience driving projects or programs that have had a proven impact on business strategy and performance through your analytics skills
- A proven track record for crafting analysis into well-written and persuasive content
- Experience advising, presenting to and serving as a thought partner to senior executives
Desirable Qualifications
- 10+ Years of Experience in Data Science or related fields
- An understanding of the SaaS business model and key metrics
- Experience in developing insights for Chat, Search or LLM-based products
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: $201,600 - $263,200
Zone B: $181,800 - $237,350
Zone C: $167,400 - $218,550
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.
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
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 provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
Atlassian Bellevue, Washington, USA Office
10900 NE 4th St, Bellevue, WA, United States, 98004
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

