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MongoDB

Builds document databases for software teams

Product Manager 2 - Source-to-Pay

Product ManagementConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Business, Information Systems, or a related field is required.
  • At least 5 years of product management experience, or equivalent experience in enterprise technology, business systems, product ownership, or solution delivery is required.
  • Proven experience owning an enterprise product or a set of connected tools from discovery through delivery and adoption is required.
  • Experience with Source-to-Pay, procurement, accounts payable, travel, expense, corporate card, or related Finance operations is required.
  • Strong understanding of enterprise business-system concepts, including workflows, approvals, master data, integrations, reporting, controls, and role-based access is required.
  • Experience partnering with Agile or iterative delivery teams and translating complex business needs into actionable requirements is required.
  • Strong analytical skills and the ability to use data to frame problems, prioritize work, and measure outcomes are required.
  • Demonstrated AI fluency is required, including understanding the strengths, limitations, risks, and economics of modern AI capabilities and translating them into responsible enterprise product opportunities.
  • The ability to influence cross-functional stakeholders and make progress in a complex, matrixed environment is required.
  • Strong written and verbal communication skills are required, including the ability to explain technical and operational topics to executive, business, and engineering audiences.
  • The ability to balance strategic thinking with hands-on execution and attention to operational detail is required.
  • Experience with one or more relevant platforms, such as Coupa, Concur, NetSuite, Brex, AppZen, Navan, or comparable procurement, ERP, expense, travel, or spend-management solutions is required.
  • Experience with integrations, application programming interfaces, middleware, data flows, and third-party software-as-a-service platforms is required.

Responsibilities

  • Partner with the Product Lead for Source-to-Pay and Travel & Expense to shape, prioritize, and deliver the roadmap, translating Finance Technology and company objectives into product outcomes and execution plans.
  • Build understanding of users and business processes across Procurement, Accounts Payable, Accounting, Travel & Expense, Finance, Legal, Security, Internal Audit, and employees.
  • Translate business problems into product outcomes, including detailed product requirements documents, 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 with Engineering, Architecture, Business Systems, Data & Analytics, Security, Compliance, Internal Audit, and external vendors to deliver reliable and maintainable solutions.
  • Improve procurement and spend workflows, including requisitions, approvals, supplier onboarding, supplier data, purchase orders, invoicing, payment-related handoffs, and spend visibility.
  • Improve Travel & Expense 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 to reduce manual work, improve processing speed, and improve employee experience.
  • Identify, frame, and prioritize practical AI opportunities across Source-to-Pay and Travel & Expense, 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.
  • Advise business leaders and help stakeholders make informed trade-offs among value, risk, cost, time, user experience, and technical health.
  • Support incident and problem management for in-scope platforms, partnering with Engineering and Business Systems on root-cause analysis, remediation, and stakeholder communication when issues arise.

Desired Qualifications

  • Experience defining AI-enabled product requirements, evaluation criteria, feedback loops, or human-in-the-loop workflows is preferred.
  • Familiarity with audit, compliance, SOX, privacy, or internal-control considerations in Finance systems is preferred.

About the Company

MongoDB

Builds document databases for software teams

MongoDB builds databases for software teams that need to store and retrieve application data without fitting every record into fixed rows and columns. Its flagship Atlas service runs the database in the cloud and combines it with tools for search, real-time analytics and AI retrieval. Data is stored as flexible documents, letting developers change an application's structure while keeping related information together. Customers pay for cloud resources and usage, or buy Enterprise Advanced subscriptions to run the software themselves with monitoring, management tools and technical support. MongoDB was founded in 2007 and is headquartered in New York City.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2007

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