MongoDB is seeking an experienced and outcome-oriented Product Manager 2 to partner with the Product Lead for Source-to-Pay (S2P) and Travel & Expense (T&E) to deliver the roadmap across these domains. This role sits at the intersection of Finance, Procurement, Accounting, employees, and Technology, helping MongoDB scale spend-management operations through intuitive experiences, reliable platforms, strong controls, and intelligent automation.

You will own product discovery, strategy, roadmap, prioritization, requirements, delivery partnership, and adoption for a portfolio that may include procurement, supplier onboarding and management, purchasing, invoicing, business travel, corporate cards, expense submission, audit, reimbursement, and related reporting and integrations.

The ideal candidate combines strong product judgment with enterprise business-systems and AI fluency. You can move comfortably from understanding an employee or Finance pain point to defining a scalable solution, evaluating where AI can improve the experience or operation, aligning stakeholders, guiding an engineering team, and measuring whether the change delivered business value.

What you’ll do

Partner with the Product Lead for S2P and T&E to shape, prioritize, and deliver the roadmap, translating Finance Technology and company objectives into clear product outcomes and execution plans
Build deep understanding of users and business processes across Procurement, Accounts Payable, Accounting, Travel & Expense, Finance, Legal, Security, Internal Audit, and employees
Translate business problems into clear product outcomes, including detailed PRDs, epics, user stories, acceptance criteria, process designs, and release plans
Lead discovery through interviews, workflow analysis, data analysis, process mapping, and collaboration with subject-matter experts
Prioritize investments across new capabilities, enhancements, integrations, operational improvements, technical debt, compliance needs, and user experience
Partner closely with Engineering, Architecture, Business Systems, Data & Analytics, Security, Compliance, Internal Audit, and external vendors to deliver reliable and maintainable solutions
Drive improvements across procurement and spend workflows, including requisitions, approvals, supplier onboarding, supplier data, purchase orders, invoicing, payment-related handoffs, and spend visibility
Drive improvements across T&E workflows, including travel booking, expense submission, corporate cards, policy enforcement, audit, approvals, reimbursement, employee communications, and support experiences
Advance intelligent automation, AI-assisted workflows, and self-service capabilities that reduce manual work, improve processing speed, and provide a better employee experience
Identify, frame, and prioritize practical AI opportunities across S2P and T&E, such as conversational support, document and receipt understanding, anomaly or fraud detection, policy guidance, risk-based routing, and workflow recommendations
Partner with Data & Analytics, Engineering, Security, Privacy, Compliance, and business owners to define responsible AI requirements, including data quality, human oversight, explainability, access controls, monitoring, evaluation, and failure-handling
Define and monitor product metrics such as adoption, cycle time, straight-through processing, manual-touch reduction, approval and reimbursement time, exception rates, policy compliance, data quality, support volume, and user satisfaction
Ensure product decisions support appropriate access controls, segregation of duties, auditability, data integrity, privacy, and SOX or other applicable control requirements
Lead product delivery rituals and operating rhythms, including roadmap reviews, backlog refinement, sprint planning, demos, release readiness, stakeholder readouts, and retrospectives
Coordinate integrated testing, business validation, launch readiness, change management, training, communications, and post-launch measurement
Serve as a trusted advisor to business leaders and help stakeholders make informed trade-offs among value, risk, cost, time, user experience, and technical health