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 San Francisco, California, USA Office
Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.
Atlassian Mountain View, California, USA Office
301 E Evelyn Ave., Mountain View, CA, United States, 94041
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develop and deploy scalable machine-learning solutions, particularly deep-learning forecasting models for company top-line metrics. Lead the full ML lifecycle from problem definition and experimentation through production deployment and improvement. Design production-grade architectures, evaluate and improve models, collaborate with cross-functional teams, explain technical concepts to varied audiences, and mentor junior engineers.
Top Skills:
Deep LearningMachine LearningMachine Learning Infrastructure
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads and coaches Strategic Account Executives to exceed revenue targets, improve pipeline discipline, forecast accurately, and close complex SaaS opportunities. Acts as a player-coach in strategic demos and negotiations, analyzes funnel performance, develops underperforming representatives, and drives GTM improvements through customer feedback. The role also owns sales training, recruiting, onboarding, and building a high-performing team culture.
Top Skills:
GongLinkedin Sales NavigatorSalesforce
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the design, development, deployment, and continuous improvement of AI/ML solutions for enterprise customers. Build integrations using Python or JavaScript, APIs, microservices, and enterprise systems; analyze data; automate workflows; manage AI risk, privacy, and compliance; mentor engineers; and align technical solutions with business objectives.
Top Skills:
Agent-Based FrameworksAPIsAtlassian IntelligenceGdprGenerative AiJavaScriptLarge Language Models (Llms)MicroservicesPythonRovo Ai
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

