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AI Product Manager (India)

Freehand

This Product Manager role focuses on building autonomous AI agents for enterprise spend management. You will lead the vision and execution of production-grade workflows for Fortune 100 clients.

What you’d own

  • Autonomous p2p workflows (invoice validation, vendor onboarding, contract management)
  • Agent design patterns including tool orchestration and retrieval pipelines
  • Closed-loop training pipelines and evaluation sets for agent improvement
  • High-fidelity UX for explainable AI interactions

Who it’s for

A fit if you…

  • You have 4–6 years of B2B experience with at least 2 years launching first products
  • You have shipped multi-agent systems and understand AI evaluation (hallucination, grounding)
  • You are comfortable leading technical conversations with enterprise architects and CFOs
  • You thrive in high-autonomy environments where you are expected to make decisions, not just recommendations

Not for you if…

  • You prefer a highly structured environment with clear hand-holding and frequent management check-ins
  • You prefer presenting options to stakeholders rather than taking direct accountability for final decisions
  • You lack experience with enterprise-scale data systems or complex compliance requirements

Reading between the lines

  • The 'Context Before Confidence' principle implies a high-ambiguity environment where you must proactively hunt for information.
  • The requirement to work with CXOs at Fortune 100 companies suggests a high-stakes, high-visibility role with significant external pressure.
  • The emphasis on 'Decisions, not Recommendations' signals that there is very little room for consensus-seeking; you will be expected to own the outcome of your choices.

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Benefits

HealthDentalVisionHome Office Stipend
Full job description
Location: India Employment Type: FullTime Department: Product Management ABOUT FREEHAND Most AI companies are building tools. We're building the worker. Freehand's AI agents replace the human decision-making and coordination layer that sits above enterprise software — handling the analysis, negotiation, prioritization, and execution that previously required armies of logisticians / supply chain professionals. Our customers include Apple, Meta, GE, Pfizer, J&J, Schlumberger, Cardinal Health, and Unilever. They chose us because we have a fundamentally different answer to what enterprise software looks like when AI can do the job. If you want to work on something that matters, with people who will push you to be sharper than you thought you could be, this is the place. THE ROLE & THE TEAM As an AI Product Manager at Freehand- Teams for Business Spend Management, you’ll define and deliver the future of autonomous p2p workflows. You will 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. You’ll work directly with CXOs at Fortune 100 companies to understand pain points and convert them into product innovations that displace traditional outsourcing, staffing and SaaS models with intelligent, self-evolving agents. This is a foundational leadership role with scope to define vision, architecture, and roadmap, and execute against it, for one of the most critical domains in enterprise automations, at the cutting edge of generative AI. What You'll Do - Own product vision, architecture, and execution for Freehand’s AI Teams for Spend Management across key use cases: · Invoice validation & matching · Vendor onboarding & collaboration · Contract and compliance management · Dispute resolution · 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 eng teams to build closed-loop training pipelines and eval sets that drive continual improvement via human-in-the-loop feedback,signal instrumentation, 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. WHO YOU ARE - 4–6years in B2B product management with at least 2 years working on first products - Experience launching agentic AI products involving: - Multi-agent systems with explicit roles & policies mirroring enterprise auth - Strong understanding of AI evaluation techniques (factuality, grounding, latency, hallucination minimization) and methods for improving agent accuracy and reliability in production. - 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 WORKING AT FREEHAND - Series B, ~100 people across the US and India. Big enough to have infrastructure, small enough that your work is visible. We run on five core operating principles; these are not values-on-a-wall, this is the exact philosophy we built our AI agents on : - Context Before Confidence. We get in, ask (a ton of) questions, connect the dots ourselves and move fast. No passengers, no hand-holding. The amount of confidence you'll have in Week 1 is directly proportional to the context strive to gain. - Decisions, not Recommendations. Freehand folks decide, they don't present options. You'll have real autonomy, and real accountability to match. - High Agency, High Trust. We won't manage you closely or ask you to escalate every call. Act, share your reasoning, and course-correct when needed. That's the contract. - Accountability is the Product. When something goes wrong — and it will — we name it, learn from it, and move on. No politics, no cover. Just fix it. - The Work That Remains is the Work That Matters. We actively cut low-value work. What lands on your plate is there because it matters — and can only be done by you. It's a small world. Freehand employees Work Anywhere across US & India (we're remote & travel-first). As and when required, for this role, we will also arrange for a fully-paid trip to our HQ in Chennai to meet & interact with cross-functional teams. In addition, we proudly offer the following Benefits to all our full-time employees: - Full Health coverage (accidental, life, vision, dental & health consultations) - Monthly home-internet costs - Flexible working hours - Complimentary food & snacks at the Chennai HQ EQUAL OPPORTUNITY Freehand hires on merit — your thinking, your track record, your potential — without regard to race, gender, age, religion, sexual orientation, national origin, disability, or any other protected characteristic. If you meet most of the criteria above but not all of it, apply anyway. We care more about your willingness to learn & take initiative than whether your resume maps perfectly to every line

About Freehand

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Freehand builds autonomous AI agents that audit invoices, enforce contracts, and resolve disputes across enterprise supply chain spend. The platform reads unstructured documents and emails, reasons across contracts and policies, then executes decisions directly inside ERP systems like SAP, Oracle, and Coupa. Trusted by Fortune 500 companies including Meta, Unilever, Johnson & Johnson, and Pfizer, Freehand reported recovering $260M in wasteful spend in 2025. The company, formerly known as Pando, has raised $100M to date including a $75M Series B in mid-2026, backed by Battery Ventures and NewRoad Capital Partners. Freehand is headquartered in San Francisco and operates at the intersection of AI and enterprise procurement.

Supply Chain & OperationsAI & Machine Learning

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