About the Role

We are seeking an experienced and customer-centric Senior Product Manager to lead the vision, strategy, roadmap, and execution of our Warehouse Management System (WMS). You will be responsible for building scalable, intelligent, and configurable warehouse solutions that enable efficient inventory management, order fulfillment, and omnichannel commerce for enterprise customers.

Our platform serves customers across Retail, eCommerce, Consumer Packaged Goods (CPG), Third-Party Logistics (3PL), Distribution, and Supply Chain. You will work closely with customers and cross-functional teams to solve complex warehouse and fulfillment challenges through cutting-edge SaaS products.

As our platform evolves, you will play a key role in shaping the next generation of intelligent warehouse solutions by leveraging Generative AI, Agentic AI, Computer Vision, IoT, and Video Management Systems (VMS) to automate workflows, improve operational visibility, enhance decision-making, and deliver measurable business outcomes.

Key Responsibilities

Product Strategy & Roadmap

- Own the product vision, strategy, roadmap, and lifecycle for the Warehouse Management System.
- Define and execute product strategy aligned with business objectives, customer needs, and market opportunities.
- Balance strategic initiatives, customer requirements, technical investments, and innovation to maximize customer and business value.

Customer Discovery & Product Definition

- Engage with enterprise customers, warehouse operators, implementation teams, and internal stakeholders to understand operational challenges across warehouse and fulfillment processes.
- Translate customer problems into product requirements, PRDs, user stories, acceptance criteria, and measurable success metrics.
- Validate product ideas through customer interviews, usability testing, pilots, and product analytics.

Product Delivery & Warehouse Innovation

- Lead Agile product development in collaboration with Engineering, UX, QA, and Architecture teams.
- Prioritize and manage the product backlog based on customer value, business impact, and technical feasibility.
- Drive continuous enhancement of warehouse capabilities including:

- Receiving
- Putaway
- Inventory Management
- Replenishment
- Wave, Batch, Zone, and Cluster Picking
- Packing
- Shipping
- Returns Management
- Cycle Counting




- Warehouse Visibility
- Exception Management
- Labor Productivity & Workforce Management

AI, Automation & Intelligent Warehouse Solutions

- Identify opportunities to leverage Generative AI, Agentic AI, Computer Vision, IoT, and VMS to automate warehouse operations and improve operational efficiency.
- Define AI-enabled capabilities such as:

- Intelligent task prioritization
- Predictive replenishment
- Inventory anomaly detection
- Warehouse supervisor copilots
- Autonomous exception resolution
- Natural language operational insights
- AI-assisted warehouse optimization
- Computer vision-based inventory verification
- Dock monitoring and operational visibility
- Workflow orchestration using AI agents

- Partner with Engineering, AI/ML, and Data Science teams to deliver scalable, secure, explainable, and measurable AI-powered capabilities.
- Evaluate emerging technologies including LLMs, AI agents, computer vision, warehouse automation, robotics, and enterprise AI platforms for inclusion in the product roadmap.

Cross-functional Leadership

- Collaborate with Engineering, Sales, Customer Success, Professional Services, Support, and Implementation teams to ensure successful product adoption.
- Support customer demonstrations, product launches, analyst briefings, and go-to-market initiatives.
- Influence stakeholders and drive alignment across business and technology teams.

Product Analytics & Continuous Improvement

- Define and monitor KPIs including product adoption, customer satisfaction, inventory accuracy, warehouse productivity, fulfillment efficiency, SLA adherence, and feature usage.
- Leverage customer feedback, operational analytics, and competitive insights to continuously improve the product.

Required Qualifications

- Bachelor's degree in Engineering (B.Tech or equivalent) is mandatory; MBA or equivalent business qualification is preferred.




- 8+ years of Product Management experience in an enterprise SaaS organization.
- Strong experience with Warehouse Management Systems (WMS) or enterprise Supply Chain Execution products.
- Domain experience in one or more of the following industries:

- Retail
- eCommerce
- Consumer Packaged Goods (CPG)
- Third-Party Logistics (3PL)
- Distribution
- Supply Chain

- Deep understanding of warehouse operations including receiving, putaway, inventory management, replenishment, order fulfillment, shipping, returns, and cycle counting.
- Experience working with enterprise platforms such as WMS, OMS, ERP, TMS, WCS, WES, inventory management systems, and warehouse automation technologies.
- Proven experience defining product strategy, owning roadmaps, and delivering enterprise products using Agile methodologies.
- Excellent analytical, communication, stakeholder management, prioritization, and leadership skills.

Preferred Qualifications

- Experience integrating with Video Management Systems (VMS), Computer Vision platforms, IoT devices, RFID, barcode scanners, robotics, Automated Storage and Retrieval Systems (AS/RS), conveyors, sortation systems, autonomous mobile robots (AMRs), or warehouse control technologies.
- Familiarity with Generative AI, Agentic AI, LLMs, AI copilots, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), workflow orchestration, and enterprise AI applications.
- Experience collaborating with AI/ML teams to define and launch AI-enabled product capabilities.
- Understanding of AI governance, responsible AI principles, model evaluation, and AI adoption metrics.
- Experience building cloud-native, multi-tenant SaaS platforms using API-first and event-driven architectures.

Success Measures

Success in this role will be measured by:

- Delivery of strategic roadmap commitments with predictable execution.
- Increased customer adoption, engagement, retention, and satisfaction.
- Measurable improvements in warehouse productivity, inventory accuracy, order fulfillment efficiency, and operational KPIs.
- Successful launch and adoption of AI-powered capabilities that enhance warehouse operations and customer outcomes.
- High-quality product releases with measurable business impact.
- Strong collaboration across Product, Engineering, Customer Success, Sales, and Implementation teams.

📌 Senior Product Manager (Uttar Pradesh)
🏢 Vinculum Solutions
📍 Uttar Pradesh