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Datadog

Senior Manager, Revenue Accounting

Reposted 2 Days Ago
Easy Apply
Hybrid
New York, NY
146K-213K Annually
Senior level
Easy Apply
Hybrid
New York, NY
146K-213K Annually
Senior level
The Senior Manager, Revenue will oversee the revenue lifecycle, lead the Revenue Accounting & Operations team, ensure compliance with ASC 606, and drive process improvements for accuracy and efficiency.
The summary above was generated by AI

Datadog’s Finance team partners closely with Revenue, Customer Success, Sales, and Financial Systems to support scalable growth, operational excellence, and accurate financial reporting.

The Revenue organization is evolving to a team-based operating model, introducing clear ownership of the revenue lifecycle, stronger cross-functional alignment, and dedicated enablement to support increasing complexity across usage, drawdown, and marketplace revenue models.

We are seeking a Sr. Manager, Revenue to own the end-to-end revenue lifecycle, from deal structuring through revenue recognition and reporting. This role will lead the Revenue Accounting & Operations team and play a critical role in supporting the company’s continued growth and increasing contract complexity.

This individual will partner cross-functionally with AR, Customer Success, Deal Desk, FP&A, and Financial Systems to ensure accurate, scalable, and efficient revenue processes, while also strengthening governance in high-risk areas such as drawdown revenue.


What You’ll Do:

  • Own the end-to-end revenue lifecycle, including deal-to-order, billing, revenue recognition, and close
  • Lead monthly, quarterly, and annual close processes in accordance with ASC 606
  • Oversee billing and usage execution across subscription, usage, and drawdown models
  • Partner with Deal Desk on contract review and revenue implications for complex arrangements
  • Provide leadership and governance over drawdown revenue structures, including depletion logic and contract analysis
  • Manage revenue integrity processes, including billing ↔ revenue tie-outs, controls, and KPI reporting
  • Partner closely with AR to ensure alignment from billing through cash conversion and issue resolution
  • Serve as a key point of contact for audit, SOX, and technical accounting inquiries
  • Identify and drive process improvements to support scale and reduce operational risk
  • Build and develop a high-performing team supporting revenue operations and accounting

Who You Are:

  • 8+ years of progressive experience in accounting/revenue, including Big 4 experience
  • CPA required
  • Strong experience with ASC 606 and SaaS revenue models (usage, drawdown, multi-element arrangements)
  • Proven ability to operate in a high-growth, high-complexity environment
  • Strong cross-functional leadership and stakeholder management skills
  • Detail-oriented with strong analytical and problem-solving capabilities
  • Experience with NetSuite and large-scale billing systems preferred
  • Experience leveraging data and analytics tools (e.g., Tableau) to drive insights and decision-making
  • Familiarity with automation and AI/LLM-driven workflows to improve operational efficiency is a plus

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
  • Employee-focused best in class onboarding
  • Internal mentor and cross-departmental buddy program
  • 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:
$146,000$213,000 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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