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Freehand builds AI agents that replace the human decision-making and coordination layer in enterprise software, handling analysis, negotiation, prioritization, and execution for supply chain and spend management workflows. The company serves Fortune 100 customers including Apple, Meta, GE, Pfizer, J&J, and Unilever.
As an AI Product Manager on the Teams for Business Spend Management product, you will define and deliver the future of autonomous procure-to-pay workflows. You'll partner with Engineering, Data Science, UX, and go-to-market teams to ship production-grade AI agents that execute and optimize complex spend workflows with precision, reliability, and explainability.
Key responsibilities include:
- Own product vision, architecture, and execution for AI Teams across invoice validation & matching, vendor onboarding & collaboration, contract and compliance management, dispute resolution, and cross-border payments.
- Define agent design patterns including multi-capability prompting, tool orchestration, retrieval pipelines, fallback logic, and policy hierarchies that balance accuracy, reliability, and business context.
- Ensure end-to-end observability including agent health, performance monitoring, confidence scoring, and auditability of decisions.
- Partner with AI/ML and data engineering teams to build closed-loop training pipelines and evaluation sets that drive continual improvement via human-in-the-loop feedback and structured reasoning.
- Drive high-fidelity UX for AI interactions, enabling explainable, proactive, and intuitive agent experiences across UI, email, chat, and APIs.
- Lead technical conversations with enterprise architects and strategic conversations with CFOs, CIOs, and Chief Procurement Officers at Fortune 100 companies.
- Author clear documentation (PRDs, solution briefs, agent blueprints) and deliver compelling product demos.
You'll work at a Series C company (~100 people across US and India) with a remote-first, work-anywhere culture. The company operates on five core principles: Context Before Confidence, Decisions not Recommendations, High Agency & High Trust, Accountability is the Product, and The Work That Remains is the Work That Matters.
