About the company
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.
Responsibilities
- Manage vendor onboarding requests from submission through completion.
- Review submissions for completeness, accuracy, and required documentation.
- Coordinate reviews, approvals, and follow-ups with Privacy, GRC, IT, Internal Audit, Legal, Finance, and other teams.
- Help vendors and employees understand requirements, complete outstanding tasks, and resolve system issues.
- Maintain accurate vendor records, approvals, contracts, documents, and audit trails across Zip and connected systems.
- Monitor request volumes, aging, and cycle times, prioritizing urgent requests and escalating blockers.
- Serve as a subject matter expert for Zip and related procurement systems.
- Translate policies and business needs into clear requirements for workflows, routing, approvals, notifications, reporting, and exceptions.
- Test system changes, document results, report defects, and support releases through training and communications.
- Identify opportunities to improve P2P processes through data, AI, and automation.
Requirements
- 3+ years of experience in procure-to-pay, vendor management, finance, or purchasing operations.
- Experience managing vendor onboarding or vendor lifecycle processes.
- Hands-on experience with platforms such as Zip, Coupa, Oracle, NetSuite, DocuSign, Brex, Ramp, or similar tools.
- Understanding of how vendor data, purchasing requests, contracts, purchase orders, invoices, approvals, and payments connect.
- Experience maintaining accurate system data and resolving incomplete, inconsistent, or duplicate records.
- Ability to document business requirements, test system changes, and work with technical teams to resolve issues.
- Sound judgment when applying policies, managing exceptions, and escalating risks.
- An analytical mindset and interest in using data, AI, and automation to improve processes.
- Strong communication, organization, and prioritization skills.
- A bachelor's degree or equivalent practical experience is preferred.
Conditions
- Competitive salary and equity package, may include variable compensation.
- Healthcare, dental, parental planning, and mental health benefits.
- 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
- Hybrid work.