Datadog’s Revenue Operations & Finance team continues to expand as we work continuously to improve and solve complex business problems.
The Sales Revenue team supports Datadog’s rapid growth by collaborating with teams across the organization, providing commercial, operational, and analytical support to ensure that Datadog's business and Sales organization continues to grow as rapidly and efficiently as possible.
In this role, you will gain hands-on experience managing commission processes at scale while collaborating cross-functionally with Finance, Sales, Strategy, and Operations. This is an excellent opportunity for anyone seeking high visibility, meaningful ownership, and a clear path for growth within a fast-paced SaaS environment.
We are looking for a Sales Revenue Analyst to join us in Boston, MA to support our team in managing global sales team compensation calculations and new business revenue recognition.
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:
Own the monthly sales commission process across multiple sales segments, ensuring accuracy, timeliness, and operational excellence
Improve day-to-day operations by identifying process gaps, fixing inefficiencies, and building practical tracking for new initiatives as the business grows
Analyze compensation results to identify trends, surface risks, and provide actionable insights to leadership
Review deal structures and financial terms to ensure alignment with compensation policies and revenue recognition requirements
Partner cross-functionally with Finance, Sales, Systems and Strategy to support compensation plan execution and business initiatives
Maintain and optimize compensation systems, reporting and dashboarding by leveraging tools such as Salesforce and CaptivateIQ to elevate sales performance visibility, improve data integrity, and enhance the overall experience for sales teams and cross-functional stakeholders
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Partner closely with Datadog’s most senior leaders to evaluate, design, and operationalize new sales strategy programs
Who You Are:
1-3 years of experience in Finance, Sales Operations, Revenue Operations, Incentive Compensation, or Business Analytics — ideally within a high-growth SaaS and/or multi-national public company
Highly analytical with advanced Excel skills and experience working with large datasets; familiarity with Tableau, Metabase, CaptivateIQ (or similar compensation software), and other BI tools is a plus
A strong problem solver who can recognize patterns and translate data into insights; prior exposure to SaaS economics, deal structuring, or MRR business models is highly valued
Comfortable operating and thinking in a fast-paced, high-growth environment with shifting priorities
Excellent interpersonal skills with experience presenting to teams of various functions and levels, including C-suite executives
Demonstrated project ownership and delivery - ability to manage cross-functional relationships, coordinate priorities, and drive projects forward across teams and stakeholders
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
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:
$80,000—$105,000 USD
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
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