Atlassian
Overview
We’re looking to hire a sharp, analytically-minded
Sales Data Scientist
to join our Sales & Success Strategy team and accelerate Atlassian’s transformation across
AI and Rovo adoption
and
growth of our Collections (Teamwork, Service, Strategy, and Software) . This is a high-impact role designed for someone who can blend analytical depth, business fluency, and data engineering capabilities. In this role, you’ll work directly with cross-functional partners in Sales Strategy, Sales, Product, and Customer Success to uncover insights, build models, and enable data-driven decision making across our direct and partner sales motions. This includes leveraging advanced modeling techniques and tapping into platforms like
Databricks ,
Gainsight , and
Salesforce
to guide action and measure impact. Responsibilities
Advanced GTM Analytics & Modeling: Build and operationalize propensity models, lookalike targeting, cohort analysis, and other advanced analytics to drive strategic segmentation and GTM prioritization. Analyze product adoption (e.g., Rovo agents, JSM usage) to surface patterns and leading indicators of success. Collaborate with Sales Strategy and Marketing teams to deploy data-backed targeting and messaging strategies. Insight Generation & Storytelling
Run analysis using SQL, Python, Databricks, and visualize insights with Tableau or Looker. Identify trends in pipeline health, renewal performance, AI feature usage, and expansion motion effectiveness. Communicate findings in crisp, business-relevant terms to Sales and Product stakeholders. Cross-Functional Business Partnership
Partner with Product GTM, Sales, Customer Success, and Enablement teams to shape initiatives, define KPIs, and monitor execution. Use Salesforce and Gainsight data to analyze customer health, usage signals, and expansion likelihood to inform CSM and AE plays. Qualifications
4–7 years in data science or GTM analytics roles in SaaS or high-growth tech. Proficiency in Databricks, SQL, Python, and strong visualization skills in Tableau/Looker. Experience building and interpreting models (e.g., propensity, clustering, churn risk, lookalikes). Familiarity with Salesforce, Clari, Gong, and other Sales Tech tools. Excellent communication and synthesis skills—able to translate data into clear recommendations. Experience working on AI product adoption, Sales transformation, or customer expansion strategies preferred. Familiarity with Atlassian’s GTM motion or similar PLG-driven SaaS business preferred. Background in sales performance and analytics is a plus preferred. Compensation & Benefits
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. The base pay ranges for new hires in the United States are: Zone A: $149,400 - $195,050 Zone B: $135,000 - $176,250 Zone C: $124,200 - $162,150 This role may also be eligible for benefits, bonuses, commissions, and equity. For more information on locations included in each pay zone, please visit go.atlassian.com/payzones and confirm your zone with your recruiter. 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 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. We never discriminate and all information will be kept confidential according to EEO guidelines. We can support accommodations or adjustments at any stage of the recruitment process. Learn more at go.atlassian.com/crh. Referrals increase your chances of interviewing at Atlassian by 2x Get notified about new Senior Data Scientist jobs in Mountain View, CA.
#J-18808-Ljbffr
We’re looking to hire a sharp, analytically-minded
Sales Data Scientist
to join our Sales & Success Strategy team and accelerate Atlassian’s transformation across
AI and Rovo adoption
and
growth of our Collections (Teamwork, Service, Strategy, and Software) . This is a high-impact role designed for someone who can blend analytical depth, business fluency, and data engineering capabilities. In this role, you’ll work directly with cross-functional partners in Sales Strategy, Sales, Product, and Customer Success to uncover insights, build models, and enable data-driven decision making across our direct and partner sales motions. This includes leveraging advanced modeling techniques and tapping into platforms like
Databricks ,
Gainsight , and
Salesforce
to guide action and measure impact. Responsibilities
Advanced GTM Analytics & Modeling: Build and operationalize propensity models, lookalike targeting, cohort analysis, and other advanced analytics to drive strategic segmentation and GTM prioritization. Analyze product adoption (e.g., Rovo agents, JSM usage) to surface patterns and leading indicators of success. Collaborate with Sales Strategy and Marketing teams to deploy data-backed targeting and messaging strategies. Insight Generation & Storytelling
Run analysis using SQL, Python, Databricks, and visualize insights with Tableau or Looker. Identify trends in pipeline health, renewal performance, AI feature usage, and expansion motion effectiveness. Communicate findings in crisp, business-relevant terms to Sales and Product stakeholders. Cross-Functional Business Partnership
Partner with Product GTM, Sales, Customer Success, and Enablement teams to shape initiatives, define KPIs, and monitor execution. Use Salesforce and Gainsight data to analyze customer health, usage signals, and expansion likelihood to inform CSM and AE plays. Qualifications
4–7 years in data science or GTM analytics roles in SaaS or high-growth tech. Proficiency in Databricks, SQL, Python, and strong visualization skills in Tableau/Looker. Experience building and interpreting models (e.g., propensity, clustering, churn risk, lookalikes). Familiarity with Salesforce, Clari, Gong, and other Sales Tech tools. Excellent communication and synthesis skills—able to translate data into clear recommendations. Experience working on AI product adoption, Sales transformation, or customer expansion strategies preferred. Familiarity with Atlassian’s GTM motion or similar PLG-driven SaaS business preferred. Background in sales performance and analytics is a plus preferred. Compensation & Benefits
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. The base pay ranges for new hires in the United States are: Zone A: $149,400 - $195,050 Zone B: $135,000 - $176,250 Zone C: $124,200 - $162,150 This role may also be eligible for benefits, bonuses, commissions, and equity. For more information on locations included in each pay zone, please visit go.atlassian.com/payzones and confirm your zone with your recruiter. 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 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. We never discriminate and all information will be kept confidential according to EEO guidelines. We can support accommodations or adjustments at any stage of the recruitment process. Learn more at go.atlassian.com/crh. Referrals increase your chances of interviewing at Atlassian by 2x Get notified about new Senior Data Scientist jobs in Mountain View, CA.
#J-18808-Ljbffr