Lead AI Product Manager

Uplers; Kamrup Metropolitan; Remote; INR 3,000,000 - 5,000,000; Full time

Job summary

A recruitment agency is seeking a Lead AI PM to drive the transformation of a tender platform into a multi-agent system. Responsibilities include defining agent workflows and collaborating with cross-functional teams. Key qualifications include 6+ years of AI product management experience, proficiency in LLMs, and a strong understanding of agentic architecture. This remote position offers a competitive salary range of INR 3,000,000 to 5,000,000 annually based on experience.

Qualifications

• Experience of 6+ years in AI product management, specifically in LLMs.
• Proven track record of revenue-generating AI/ML products.
• Understanding of agentic architecture and evaluation metrics.

Responsibilities

• Lead the transformation of the tender platform into a multi-agent system.
• Translate AI capabilities into monetizable offerings for customers.
• Define workflows and guardrails for specialized agents.

Skills

Logistics & Supply Chain DNA

Agentic AI

AI/LLM

Product Management

Tools

Python

Job description

Overview

Experience: 6.00 + years

Salary: INR 3000000-5000000 / year (based on experience)

Expected Notice Period: 30 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Permanent position (Payroll and Compliance to be managed by: Winmore)

*Note: This is a requirement for one of Uplers\' client - Winmore

What you need for this opportunity

Must have skills required: Logistics & Supply Chain DNA, Agentic AI, AI/LLM, Product Management

The Role

As the Lead AI PM, you will own the end-to-end transformation of our tender platform into an agentic powerhouse. You will define how our autonomous agents behave, how they collaborate, and how we measure their success. You will sit at the intersection of complex supply chain logic, cutting-edge agentic architecture, and aggressive revenue targets.

What You Will Do

• Own the Agentic Roadmap: Drive the vision and E2E execution of Winmore\'s transition from a human-driven workflow to a multi-agent orchestrated system.
• Drive Revenue & Adoption: Translate complex AI capabilities into clear, highly monetizable value propositions for enterprise customers. You build for impact, not just for cool demos.
• Design Agent Workflows: Define the precise scopes, tool-calling abilities, and guardrails for specialized agents (e.g., pricing agents, compliance agents, document synthesis agents) to ensure they achieve the "right outcomes" without looping or hallucinating.
• Build the Evals Infrastructure: Partner closely with engineering to design and implement rigorous LLM evaluation frameworks. You will define the ground truth, measure RAG retrieval accuracy, and set strict performance thresholds for agent outputs before they ever reach a customer.
• Cross-Functional Leadership: Act as the translation layer between AI researchers/engineers, go-to-market teams, and enterprise logistics users.

The Must-Haves

• AI-First PM Experience: You have spent the last few years living and breathing LLMs. You have successfully shipped E2E AI products (not just wrappers) from concept to production.
• Revenue Impact: You can point to a specific AI/ML product or feature you launched that generated measurable revenue or massive operational savings.
• Agentic Architecture Grasp: You deeply understand the mechanics of agentic systems—routing, tool use, state management, memory, and orchestration. You know the difference between a simple RAG pipeline and an autonomous agent swarm.
• Evals Expertise: You know that an AI product is only as good as its evals. You have hands-on experience establishing metrics for hallucination rates, contextual relevance, and task completion.
• Extreme Candor & Clarity: You know how to say "no" to AI hype and focus strictly on what solves the user\'s problem.

Nice-to-Haves (Bonus Points)

• Logistics & Supply Chain DNA: A working knowledge of freight forwarding, procurement, rate management, or enterprise bidding/tenders.
• Technical Chops: You can read Python, understand prompt engineering at a systemic level, and debate the merits of different foundational models or orchestration frameworks (LangChain, LlamaIndex, etc.) with your engineering leads.

Interview Process

• Round 1
• Round 2

How to apply for this opportunity

• Step 1: Click On Apply! and register or login on our portal.
• Step 2: Complete the Screening Form & Upload updated resume
• Step 3: Increase your chances to get shortlisted & meet the client for the interview.

About Uplers

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. There are many more opportunities on the portal. Depending on the assessments you clear, you can apply for them as well. If you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, apply today. We are waiting for you!