We are looking for a Product Manager to join our team. This role is well-suited for someone who thrives on simplifying complex financial workflows through intelligent, practical solutions. You'll work closely with multiple finance functions to uncover inefficiencies and translate them into tools that drive real operational impact. If you enjoy combining hands-on building with strategic thinking, this position offers a strong opportunity to influence how finance operations evolve through thoughtful AI adoptionResponsibilitiesWork closely with leaders across FP&A, Treasury (Procurement, Receivables, Payables), and Accounting (Core GL, Revenue Accounting, Order Management, Tax, Enterprise Risk Management) to uncover AI opportunities and clearly define the problem, target users, and success measuresMap finance processes end to end, including plan-to-forecast, procure-to-pay, order-to-cash, record-to-report, and the close, to remove unnecessary steps and reduce manual effortOwn and prioritize the AI backlog for Finance, ranking requests based on business value, required effort, risk, and strategic fitTriage incoming requests to determine the right approach, whether a custom AI agent, low-/no-code build, AI embedded within SaaS platforms such as Oracle Fusion or Anaplan, or workflow automationDevelop solutions covering forecasting and variance analysis, cash insight, procurement intake, collections, invoice processing, close and reconciliations, revenue recognition, order management, tax research, and risk trackingPersonally build and deploy AI agents, Claude Projects, and automated workflows, taking them from initial prototype through to full productionWrite clear requirements, then build solutions using AI coding assistants such as Claude Code, including related APIs and integrationsEstablish evaluation processes covering accuracy, traceability, financial controls, and human review, applying AI governance, security, and privacy standards in partnership with Security, Legal, Internal Audit, and Enterprise ArchitectureDrive adoption through training and enablement efforts, while tracking close cycle time, DSO, invoice processing time, and hours savedRequirementsA minimum of 5 years of relevant experience in software development, product management, FP&A, Treasury, Accounting, or finance systemsAt least 2 years in Senior, Lead, Manager, or Owner-level rolesProven track record managing engagements for teams of 5 or more full-time employeesDirect experience building and deploying AI agents and automations using tools such as Glean, Claude, ChatGPT, Gemini, or AWS BedrockHands-on development experience with AI coding assistants like Claude Code, including working with APIs, integrations, and enterprise dataWorking knowledge of prompt and context engineering, RAG, tool use, and AI evaluation methodsStrong understanding of at least one finance area, such as FP&A, procure-to-pay, order-to-cash, GL, revenue accounting, or taxPractical experience with tools such as Oracle Fusion, Anaplan, treasury systems, procurement platforms, billing tools, or tax softwareAbility to build trust with finance leaders and auditors, communicating AI concepts clearly in business termsFluent English communication skills at a B2 level or higherNice to haveFamiliarity with AI governance principles to support responsible and compliant AI adoptionExperience with AWS Bedrock for building and scaling generative AI solutionsBackground working with agentic automation low-code platforms to accelerate solution deliveryExperience designing and implementing agentic workflows for complex finance processesHands-on experience with Anaplan for financial planning and analysis use casesFamiliarity with Anthropic Claude for AI-driven solution developmentBackground in business process analysis to identify inefficiencies and improvement opportunitiesKnowledge of context engineering techniques to improve AI model performance and relevanceStrong grounding in FP&A practices to support forecasting and planning-related solutionsFamiliarity with Glean for enterprise search and knowledge discoveryWorking knowledge of the Model Context Protocol (MCP) and its role in AI integrationsRelevant certification, which would be considered a valuable addition to your qualificationsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.