Sales Systems Analyst

Datadog
Boston, Massachusetts, USA; New York, New York, USAPosted 12 March 2026

Job Description

Datadog’s Revenue Operations team is seeking an innovative and passionate Salesforce expert, who will impact a rapidly growing environment and its connected third-party systems. This individual will proactively engage and support our internal customer needs and ensure we are delivering high quality solutions. They manage the CRM with the team to maintain existing features/products for the business, and partner with stakeholders to design and implement new global initiatives, and drive global quality improvement processes. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Partner with GTM Ecosystem teams: Sales, Customer Success, Channels Alliances, Marketing, Sales Enablement, Product, Engineering, and Finance to analyze and optimize the processes related to Lead-to-Opportunity Optimize daily processes by developing and implementing automation solutions Become subject matter expert for Sales Go-To-Market and post sales processes in Salesforce through day to day support of internal and internal Users Troubleshoot, reproduce, and resolve problems reported by users in a timely manner Perform user acceptance testing (UAT), deployments, and tech stack audits with the team to ensure business requirements are met and upheld Prepare data from various internal and external sources in order to import updated data into existing databases, using data load, etc. Create and maintain documentation on processes, policies, and application configuration Who You Are: BA/BS in Business, Engineering, or other quantitative field 2-3 years experience in Salesforce, including any combination of configuration and development, flow automation, user management, and report generation Strong knowledge of Sales business processes in the opportunity-to-close cycle Outstanding ability to partner with business stakeholders to understand business process challenges and provide guidance on technical solutions Knowledge of CI/CD methodology Salesforce Administrator Certification Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Generous and competitive benefits package New hire stock equity (RSUs) and employee stock purchase plan Continuous career development and pathing opportunities Product training to develop an in-depth understanding of our product and space Best in breed onboarding Internal mentor and buddy program cross-departmentally Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $82,000 $110,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide r ... (truncated, view full listing at source)
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