Job Title

What You'll DoProduct OwnershipMaintain the roadmap for financial data products and AI solutions serving internal finance stakeholdersPartner with Product Owners for A/R and Billing to ensure aligned roadmapsIdentify high-impact opportunities where AI and automation can eliminate manual work, improve accuracy, and accelerate financial processesBalance competing priorities across multiple finance functions while maintaining a cohesive product roadmapPartner with finance leadership to understand evolving business needs and translate them into actionable product requirementsStakeholder Partnership & DiscoveryBuild deep relationships with Finance, Accounting, AP, and FP&A teams to understand their workflows, pain points, and opportunitiesFacilitate workshops and discovery sessions to uncover unarticulated needs and validate solution approachesTranslate financial domain expertise into clear requirements that engineering teams can execute againstServe as the voice of internal customers throughout the product development lifecycleAI Solution DevelopmentDefine use cases for AI/ML applications in financial processes such as invoice processing, expense categorization, anomaly detection, forecasting, and financial analysisWork with data science and engineering teams to scope, prioritize, and deliver AI-powered features that drive measurable business valueEnsure AI solutions are explainable, auditable, and meet financial compliance requirementsMonitor model performance and iterate based on user feedback and business outcomesProduct Execution & DeliveryMaintain and prioritize product backlogs across multiple workstreams, ensuring clear acceptance criteria and definition of doneLead agile ceremonies including sprint planning, backlog refinement, and stakeholder demosMake data-driven decisions about feature tradeoffs, technical debt, and release timingDefine and track KPIs that demonstrate product value and ROI to finance stakeholdersWhat You BringRequired ExperienceBachelor's degree and 6 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 year of experience; or 18 years' experience in a related field7+ years in product management or product ownership, with at least 3 years focused on financial systems, data products, or AI/ML solutionsDeep understanding of finance and accounting processes including general ledger, accounts payable/receivable, billing, financial close, forecasting, and financial reportingProven track record of delivering complex B2B or internal enterprise products from concept to adoptionExperience working with cross-functional teams including engineering, data science, design, and business stakeholdersStrong technical acumen with ability to discuss data architectures, APIs, ML models, and integration patternsPreferred QualificationsBackground in finance, accounting, or FP&A (CPA, CMA, or MBA a plus)Hands-on experience implementing AI/ML solutions in financial operationsFamiliarity with modern financial systems (ERP, billing platforms, financial data warehouses)Experience with data governance, financial controls, and SOX compliance requirementsKnowledge of generative AI applications for financial analysis and reportingSkills & AttributesExceptional ability to translate between technical and business languagesData-driven mindset with strong analytical and problem-solving capabilitiesCollaborative leadership style that builds trust across diverse stakeholder groupsComfortable with ambiguity and able to drive clarity in complex problem spacesBias toward action and continuous improvementStrong communication skills with ability to influence without authoritySuccess in This Role Looks LikeFinance teams save hundreds of hours monthly through intelligent automationAI-powered solutions drive measurable improvements in forecast accuracy, processing speed, or error reductionStrong adoption rates and user satisfaction across finance stakeholder groupsSeamless product delivery with predictable roadmap executionFinance leadership views the product team as a strategic partner, not just a service providerWhy This Role MattersFinancial operations are the backbone of our business, yet too often rely on manual, repetitive processes that are error-prone and limit our ability to scale. By combining deep financial domain expertise with modern AI capabilities, you'll create solutions that allow our finance teams to focus on strategic analysis and decision-making rather than data entry and reconciliation. Your work will directly impact our ability to close faster, forecast more accurately, and make better business decisions.USD 111,500.00 - 185,900.00 per yearCompensation:Compensation includes a base salary of $111,500.00 - $185,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.Benefits:The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.