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 adoption Responsibilities Work 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 measures Map 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 effort Own and prioritize the AI backlog for Finance, ranking requests based on business value, required effort, risk, and strategic fit Triage 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 automation Develop solutions covering forecasting and variance analysis, cash insight, procurement intake, collections, invoice processing, close and reconciliations, revenue recognition, order management, tax research, and risk tracking Personally build and deploy AI agents, Claude Projects, and automated workflows, taking them from initial prototype through to full production Write clear requirements, then build solutions using AI coding assistants such as Claude Code, including related APIs and integrations Establish 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 Architecture Drive adoption through training and enablement efforts, while tracking close cycle time, DSO, invoice processing time, and hours saved Requirements A minimum of 5 years of relevant experience in software development, product management, FP&A, Treasury, Accounting, or finance systems At least 2 years in Senior, Lead, Manager, or Owner-level roles Proven track record managing engagements for teams of 5 or more full-time employees Direct experience building and deploying AI agents and automations using tools such as Glean, Claude, ChatGPT, Gemini, or AWS Bedrock Hands-on development experience with AI coding assistants like Claude Code, including working with APIs, integrations, and enterprise data Working knowledge of prompt and context engineering, RAG, tool use, and AI evaluation methods Strong understanding of at least one finance area, such as FP&A, procure-to-pay, order-to-cash, GL, revenue accounting, or tax Practical experience with tools such as Oracle Fusion, Anaplan, treasury systems, procurement platforms, billing tools, or tax software Ability to build trust with finance leaders and auditors, communicating AI concepts clearly in business terms Fluent English communication skills at a B2 level or higher Nice to have Familiarity with AI governance principles to support responsible and compliant AI adoption Experience with AWS Bedrock for building and scaling generative AI solutions Background working with agentic automation low-code platforms to accelerate solution delivery Experience designing and implementing agentic workflows for complex finance processes Hands-on experience with Anaplan for financial planning and analysis use cases Familiarity with Anthropic Claude for AI-driven solution development Background in business process analysis to identify inefficiencies and improvement opportunities Knowledge of context engineering techniques to improve AI model performance and relevance Strong grounding in FP&A practices to support forecasting and planning-related solutions Familiarity with Glean for enterprise search and knowledge discovery Working knowledge of the Model Context Protocol (MCP) and its role in AI integrations Relevant certification, which would be considered a valuable addition to your qualifications
