About this role
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.
Responsibilities
In this role, you will:
Influence AI product feature development and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations.
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, especially focussed on the fast-paced Atlassian Intelligence suite of features
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Define, understand, and test opportunities to improve our products, guide business direction, 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.
Qualifications
Minimum Qualifications / Your background:
3+ Years of Experience in Data Science, Machine Leaning, Generative AI or related fields
Ability to craft analysis into well-written and persuasive content
Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
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.)
Familiarity with LLM or ML driven product algorithms and success metric selection and measurement
Desirable Qualifications
Experience developing insights for Chat, Search, or LLM-based products, and/or developing and measuring ML-driven product features
Understanding of the SaaS business model and key metrics
Experience in building solutions to improve the software development process.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
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.
Other facts
About Atlassian
Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone.
From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices.
Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time.
With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software.
We believe the power of teams has the potential to change the world — one that is more open, authentic, and inclusive.
What you'll do
- The Senior Machine Learning Engineer will influence AI product feature development and collaborate with cross-functional partners to solve business challenges. They will apply technical expertise to develop strategies and measure the success of product efforts.
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