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Freehand builds AI agents that replace human decision-making and coordination in enterprise software, handling analysis, negotiation, prioritization, and execution for Fortune 100 customers including Apple, Meta, GE, Pfizer, and Unilever.
As an AI Product Manager for Freehand's Teams for Business Spend Management, 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 spend management use cases: invoice validation & matching, vendor onboarding & collaboration, contract and compliance management, dispute resolution, and cross-border payments & remittance.
- Define agent design patterns—multi-capability prompting, tool orchestration, retrieval pipelines, fallback logic, and policy hierarchies—that balance accuracy, reliability, and real-world 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 interfaces (UI, email, chat, APIs).
- Lead technical conversations with enterprise architects and strategic conversations with CFOs, CIOs, and Chief Procurement Officers at Fortune 100 companies.
- Author clear, actionable documentation (PRDs, solution briefs, agent blueprints) and deliver compelling product demos to internal and external stakeholders.
You bring 4–6 years of B2B product management experience with at least 2 years launching first products. You have experience launching agentic AI products involving multi-agent systems with explicit roles and policies mirroring enterprise auth. You understand AI evaluation techniques (factuality, grounding, latency, hallucination minimization) and methods for improving agent accuracy and reliability in production. You have proven experience working with enterprise-scale data systems—invoice data, procurement records, contract metadata, FX/tax engines—with deep appreciation for governance, sensitivity, and compliance.
