The opportunity
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,…
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
What they're looking for
- Bachelor’s degree in Business, Information Systems, or a related field
- + years of product management experience, or equivalent experience in: enterprise technology, business systems, product ownership, or solution delivery
- Proven experience owning an enterprise product or set of connected tools from: discovery through delivery and adoption
- Experience with Source-to-Pay, procurement, accounts payable, travel,: expense, corporate card, or related Finance operations
- Strong understanding of enterprise business-system concepts, including: workflows, approvals, master data, integrations, reporting, controls, and role-based access
- Experience partnering with Agile or iterative delivery teams and translating: complex business needs into actionable requirements
- Strong analytical skills and the ability to use data to frame problems, prioritize work, and measure outcomes
- Demonstrated AI fluency: understand the strengths, limitations, risks, and economics of modern AI capabilities, and know how to translate them into responsible enterprise product opportunities
