AI Product Manager

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🔥 0 minutes ago

🌐 United States, India – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 12%

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Logo of Freehand

Freehand

51 - 200 employees

Founded 2026

📦 Logistics

🤖 Artificial Intelligence

🏢 Enterprise

Logistics • Artificial Intelligence • Enterprise

Freehand is a B2B enterprise software company that uses AI-driven teams and agents to audit freight invoices, enforce logistics contracts, manage supply chain spend, and close disputes with auditable outcomes posted back to customers' ERPs. The company offers freight audit & payment, 3PL contract enforcement, global trade validation (duties/tariffs/FTA benefits) and claims to recover 5–10% of spend for customers. Freehand raised a $55M Series B to launch AI agents for billing and collections and targets logistics, manufacturing, and retail enterprises.

📋 Description

• Own product vision, architecture, and execution for Freehand’s AI Teams for Spend Management • Define and deliver autonomous procure-to-pay workflows • Lead use cases including invoice validation and matching, vendor onboarding and collaboration, contract and compliance management, dispute resolution, and cross-border payments and remittance • Define agent design patterns covering multi-capability prompting, tool orchestration, retrieval pipelines, fallback logic, and policy hierarchies • Ensure end-to-end observability through agent health monitoring, performance monitoring, confidence scoring, and decision auditability • Partner with AI/ML and data engineering teams to build closed-loop training pipelines and evaluation sets • Drive continual improvement through human-in-the-loop feedback, signal instrumentation, and structured reasoning • Drive high-fidelity UX for AI interactions 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 PRDs, solution briefs, and agent blueprints • Deliver product demos to internal and external stakeholders

🎯 Requirements

• 4–6 years in B2B product management • At least 2 years working on first products • Experience launching agentic AI products • Experience with multi-agent systems with explicit roles and policies mirroring enterprise authorization • Strong understanding of AI evaluation techniques, including factuality, grounding, latency, and hallucination minimization • Experience improving agent accuracy and reliability in production • Proven experience working with enterprise-scale data systems, including invoice data, procurement records, contract metadata, and FX/tax engines • Deep appreciation for data governance, sensitivity, and compliance

🏖️ Benefits

• Remote work and travel-first arrangement • Work anywhere across the US and India • Fully-paid trip to the HQ in Chennai as required • Opportunity to work with a Series C company of approximately 100 people • Visible impact in a small, growing organization • Real autonomy and accountability • Cross-functional collaboration with Engineering, Data Science, UX, and go-to-market teams

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