Job summary
Job post source
This job is directly from Atlassian
Job overview
The Sales Data Scientist role at Atlassian focuses on leveraging advanced analytics and data science to drive sales strategy, AI adoption, and growth of product collections, impacting cross-functional teams and business decisions.
Responsibilities and impact
The role involves building and operationalizing advanced sales and GTM models, analyzing product adoption, generating insights using SQL, Python, and visualization tools, and partnering with sales, product, and customer success teams to inform strategy and execution.
Compensation and benefits
The base pay ranges from $123,700 to $198,700 depending on geographic zones, with eligibility for benefits, bonuses, commissions, and equity; Atlassian offers comprehensive perks including health resources and paid volunteer days.
Experience and skills
Candidates should have 4-7 years in data science or GTM analytics in SaaS or tech, proficiency in Databricks, SQL, Python, Tableau/Looker, experience with sales tech tools like Salesforce, and strong communication skills; preferred experience includes AI product adoption and sales transformation.
Work environment and culture
Atlassian supports flexible work locations including remote and office, values diversity and inclusion, and fosters a collaborative environment focused on unleashing team potential.
Company information
Atlassian is a global software company focused on team collaboration tools, committed to diversity, equity, and inclusion, and supports employees with accommodations and a strong culture.
Job location and travel
Candidates can work from any country where Atlassian has a legal entity, with virtual interviews and onboarding reflecting a distributed-first company model.
Unique job features
The role uniquely combines advanced data modeling with sales strategy and AI adoption, using platforms like Databricks, Gainsight, and Salesforce to drive business impact.
Company overview
Atlassian is an Australian enterprise software company that develops products for software developers, project managers, and content management. They generate revenue primarily through the sale of software licenses, subscriptions, and maintenance services for their popular tools like Jira, Confluence, and Trello. Founded in 2002 by Mike Cannon-Brookes and Scott Farquhar, Atlassian has grown significantly and went public in 2015. The company is known for its strong emphasis on team collaboration and continuous innovation in the software development space.
How to land this job
Tailor your resume to emphasize your expertise in advanced GTM analytics, propensity modeling, cohort analysis, and your ability to operationalize these for sales strategy impact at Atlassian.
Highlight technical skills prominently, especially proficiency with Databricks, SQL, Python, and visualization tools like Tableau or Looker, as well as experience with Salesforce and Gainsight.
Apply through multiple channels including Atlassian's official careers page and LinkedIn to maximize your application visibility and chances.
Connect on LinkedIn with members of Atlassian's Sales & Success Strategy team or data science division; start conversations by referencing recent Atlassian AI initiatives or asking about their experience with Rovo adoption and sales transformation.
Optimize your resume for ATS by incorporating keywords such as 'propensity models,' 'GTM analytics,' 'Databricks,' 'Salesforce,' 'customer success,' and 'AI product adoption' to ensure it passes initial automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailoring your resume, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus your time on preparing for interviews and networking effectively.
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