Lead data science efforts to inform product and business strategy through quantitative analysis, experimentation, forecasting, and storytelling. Partner with cross-functional teams to define hypotheses, measure impact, influence roadmaps, present insights to senior leadership, and monitor key product metrics to drive value.
Analytics & Data Science | San Francisco, United States | Remote, Remote
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.
About Loom
Loom is Atlassian's async video product - a fast, human way for teams to communicate without another meeting. Instead of typing a long message or scheduling a call, you record a quick video walkthrough, update, or training and share it as a link, and your teammates watch on their own time. Now part of Atlassian, Loom integrates directly into the tools teams already use, syncing into Confluence and powering AI-generated transcripts and summaries through Rovo so no one misses the context. Millions of people already rely on Loom to work together across time zones, and the product is entering an exciting new phase - expanding how async video helps people and AI agents collaborate. Joining the Loom Analytics team means shaping the direction of a product people genuinely love, at the intersection of product strategy, customer insight, and experimentation.
In this role, you will:
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
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.
About Loom
Loom is Atlassian's async video product - a fast, human way for teams to communicate without another meeting. Instead of typing a long message or scheduling a call, you record a quick video walkthrough, update, or training and share it as a link, and your teammates watch on their own time. Now part of Atlassian, Loom integrates directly into the tools teams already use, syncing into Confluence and powering AI-generated transcripts and summaries through Rovo so no one misses the context. Millions of people already rely on Loom to work together across time zones, and the product is entering an exciting new phase - expanding how async video helps people and AI agents collaborate. Joining the Loom Analytics team means shaping the direction of a product people genuinely love, at the intersection of product strategy, customer insight, and experimentation.
In this role, you will:
- Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work.
- Apply technical expertise with quantitative 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.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
Atlassian Bellevue, Washington, USA Office
10900 NE 4th St, Bellevue, WA, United States, 98004
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the design, development, deployment, and scaling of machine learning models and AI systems powering Atlassian products. Responsibilities include architecture design, experimentation, evaluation, collaboration with product and engineering teams, technical mentorship, and contributing to company-wide AI strategy. The role focuses on search, agentic AI, language models, and intelligent product capabilities.
Top Skills:
Agentic AiSparkAWSDatabricksEmbedding ModelsJavaKotlinLarge Language ModelsPythonRanking ModelsSQLTypescript
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads complex, cross-functional transformation portfolios across Product, GTM, Strategy, and Operations. Owns program outcomes, operating models, governance, prioritization, dependencies, risks, metrics, and executive communications. Establishes planning frameworks, manages multi-quarter initiatives, aligns stakeholders, and drives measurable business outcomes through structured problem-solving and portfolio execution.
Top Skills:
Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develop and scale machine learning algorithms, models, infrastructure, and data pipelines supporting AI features across Atlassian products. Responsibilities include designing model and system architectures, conducting experimentation and evaluations, collaborating with product, engineering, and analytics teams, building production-quality solutions using large datasets, and mentoring junior ML engineers.
Top Skills:
SparkAWSDatabricksDeep LearningJavaLarge Language Models (Llms)Machine LearningPythonSQL
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

