Synced from Greenhouse · Jun 17

Deal Desk Analyst

DatadogDenver, Colorado, USA; San Francisco, California, USAPosted Jun 17, 2026
Sales EngineerMid
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Mirrored from Datadog's own Greenhouse careers system · refreshed hourly

$68k–$91k
Compensation
448
Other open Datadog roles
Jun 17
Posted
Greenhouse
Applicant system
Job descriptionReq 8003080

G&A at Datadog rapidly scales the physical space, hiring, onboarding, and financial and legal systems to keep our business running in top form.

As a Deal Desk Analyst, you will work cross-functionally with our Sales Operations, Billing, Contracts and Legal teams to provide quoting and deal structuring support to the Global Sales Team. This will be a growth position as Datadog’s business continues to expand.

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:

  • Develop in-depth knowledge of Datadog’s licensing and pricing models to provide deal structuring and quoting support to our global sales teams  
  • Be a creative problem solver who finds a way to meet customers’ needs while adhering to Datadog’s selling policies
  • Solve customer satisfaction issues following execution of the deal
  • Actively negotiate deals directly with the customer as needed
  • Work cross functionally across various stakeholder groups including legal, contracts, sales operations, order management, revenue, finance and product management
  • Function as point of contact and subject matter expert for Sales on deal pricing matters
  • Drive adherence to internal controls, protocols and business rules

Who You Are:

  • At least 4 years of overall experience including related processes such as sales operations, finance, sales strategy, and sales enablement
  • At least 2 years of experience with deal structuring/quoting complex SaaS transactions for a fast-growing multi-national company  
  • Working knowledge of revenue recognition principles 
  • Must be comfortable representing the company to customers in negotiations and resolving customer satisfaction issues  
  • Strong attention to detail 
  • Ability to multi-task
  • Strong communication skills
  • Ability to work in fast paced, high pressure environment
  • Strong quantitative skills 
  • Strong MS Word, Excel and PowerPoint skills

Bonus Points:

  • Experience with Salesforce and CPQ

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. 

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:
$68,000—$91,000 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.

View original posting on Greenhouse

What applying to Datadog usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Datadog can generally expect an initial application review followed by a recruiter screening call, if selected. The process may include multiple stages such as a hiring manager conversation, technical or role-specific assessments, and panel interviews with prospective teammates or cross-functional stakeholders, depending on the position. For technical roles, candidates might encounter coding exercises, system design discussions, or case studies, while non-technical roles may involve skills-based exercises or presentations. Communication is typically handled through the greenhouse platform, with updates on status shared via email. Response times vary based on team needs and volume of applicants, so candidates should be prepared for some variability in scheduling and turnaround. Following up politely after each stage is commonly seen as reasonable practice.

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Deal Desk Analyst
Datadog · Denver, Colorado, USA; San Francisco, California, USA
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