Product Manager - AI Transformation, Finance

• Define and drive the AI transformation roadmap for finance workflows: identify high-impact automation opportunities across accounts payable, invoicing, reconciliation, and reporting partner with global finance teams to understand current pain points and redesign processes with AI at the core
• Own the product lifecycle for AI-powered finance platforms - from scoping and PRD through launch and iteration - covering intelligent invoice review, automated AP processing, smart reconciliation, and AI-assisted financial reporting
• Collaborate with AI engineering teams to design, evaluate, and continuously improve AI agents and models applied to finance use cases translate model capabilities and limitations into practical product decisions, including human-in-the-loop design and exception handling
• Define success metrics for AI-driven finance transformation: track automation rates, accuracy, SLA improvements use data to drive product iterations and build the business case for further AI investment
• Serve as the bridge between finance business stakeholders and technical teams (AI engineering, platform engineering, design, QA) manage rollout across multiple regions and ensure change management is handled effectively as AI reshapes team workflows.

• Bachelor's degree in information systems, computer science, technology or equivalent professional experience will be advantageous
• Experience in Product Management (including internships)
• Prior exposure to AI, automation, fintech, or finance operations is a plus
• Genuine curiosity about AI and how it can reshape business processes familiarity with LLMs, AI agents, or automation tools is a strong plus but enthusiasm and willingness to learn matters more
• Strong logical and structured thinking able to break down complex, ambiguous finance processes and translate them into clear product requirements and AI solution designs
• Excellent communication and cross-functional collaboration skills comfortable engaging both finance business users and AI/engineering teams
• Self-driven with a strong sense of ownership comfortable with ambiguity and fast-paced environments eager to grow alongside an organization that is actively being reshaped by AI.

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