Manager, Revenue Accounting
# Manager, Revenue Accounting **Datadog** · New York, New York, USA · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Datadog* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Finance]` --- ### About the Role About Datadog: Datadog is the world-class monitoring and security platform for cloud applications. We’re dedicated to creating, developing, and supporting our product and customers, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Built by engineers, for engineers, our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term. The Team: Datadog's Finance team collaborates with teams across the organization, providing commercial, operational, and analytical support to ensure that Datadog's business continues to grow as rapidly and efficiently as possible. The Opportunity: We are seeking a Manager, Revenue Accounting to join our growing Finance team at Datadog. This role owns the revenue close and technical revenue accounting for a high-growth, usage-based business, manages and develops a team of revenue accountants, and partners cross-functionally to scale our order-to-cash and billing processes as the Company grows. You Will: - Own the monthly revenue close, including review and approval of journal entries, balance sheet reconciliations, and supporting schedules prepared by the team. - Manage, coach, and develop a team of revenue accountants — set priorities, review work product, and build bench strength as the team scales. - Own technical revenue conclusions under ASC 606, including review of memos for complex and non-standard arrangements, variable consideration, and RPO disclosures. - Own the design, documentation, and operation of SOX controls across revenue and order-to-cash, and drive remediation where gaps are identified. - Partner with Deal Desk, Legal, Sales Systems, Order Operations, and Customer Success on non-standard deal structures ahead of signature, and on escalated customer billing matters. - Lead process and systems improvements across the order-to-cash cycle, partnering with Financial Systems on NetSuite and Salesforce enhancements and billing automation. - Own the revenue workstream for the annual audit and quarterly reviews, including walkthroughs, PBCs, and technical discussions with our auditors. - Prepare and review key internal revenue metrics, flux analysis, and commentary for finance leadership. - Lead ad-hoc projects and analyses as they arise. Requirements: - 7+ years of progressive accounting experience, including 2+ years directly managing and developing people; public company and/or Big 4 experience preferred; - BS/BA degree in Accounting - Deep working knowledge of ASC 606, including application to usage-based and multi-element SaaS arrangements - Excellent written and verbal communication skills, with the ability to present conclusions to senior leadership - Proven ability to influence and drive outcomes across cross-functional teams - Hands-on, comfortable with ambiguity, and motivated to improve existing processes Bonus Points: - CPA - Usage-based or consumption billing experience at scale - Experience owning SOX controls in a revenue environment - Experience working with NetSuite and/or Salesforce - Experience with Snowflake, SQL, or Tableau Datadog is the essential monitoring and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers’ entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics. ]] #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: $118,000 — $157,000 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 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 .
- Finance
Наблюдалась 2026-10-02, впервые 2026-10-02, источник — Datadog.