Position: Warehouse Operations Manager (SME)

Employment Type: Full Time

Experience: Warehouse Operations, Supply Chain Management, or Logistics Roles

Company Description

Scry AI is a research-led enterprise AI company that builds intelligent platforms for BFSI, insurance, logistics, and industrial enterprises to drive efficiency, insight, and compliance. Our product suite includes Auriga for conversational AI, Collatio for document intelligence, and Concentio for cognitive IoT and operational intelligence. These platforms help clients convert complex, fragmented data into actionable enterprise intelligence.

We are looking for a Warehouse Operations Manager (SME) to bring deep domain expertise in warehouse and logistics operations while supporting process optimization and AI-driven transformation initiatives. This role is critical in aligning real-world warehouse workflows with intelligent platforms to improve efficiency, accuracy, and operational visibility.

Role Overview

As a Warehouse Operations Manager (SME) at Scry AI, you will act as a subject matter expert in warehouse operations, working closely with product, engineering, and client teams. You will help design, implement, and optimize warehouse processes using AI-driven solutions, ensuring they align with industry best practices and client requirements.

This role is ideal for someone with strong operational experience in warehousing, inventory flow, and logistics who is interested in leveraging technology to transform supply chain operations.

Key Responsibilities

Warehouse Operations & Process Optimization

Act as an SME for end-to-end warehouse operations, including inbound, storage, picking, packing, and dispatch
Analyze workflows to identify bottlenecks and inefficiencies
Design and optimize warehouse processes using AI-driven insights

Product & Implementation Support

Collaborate with product and engineering teams to translate operational requirements into platform features
Support the implementation of warehouse workflows within Scry AI platforms
Assist in configuring systems for inventory tracking, order management, and logistics coordination

Data Analysis & Performance Monitoring

Track key warehouse metrics such as throughput, order accuracy, turnaround time, and inventory movement
Identify trends, inefficiencies, and areas for improvement
Provide actionable insights to enhance operational performance

Compliance & Quality Assurance

Ensure adherence to safety standards, operational policies, and compliance requirements
Conduct audits and ensure data accuracy across systems
Mitigate risks related to operational inefficiencies and inventory discrepancies

Client Engagement & Training

Work closely with clients to understand warehouse challenges and operational requirements
Provide domain expertise during solutioning, demos, and implementation
Train internal teams and clients on best practices and system usage

Required Qualifications and Skills

Strong experience in warehouse operations, logistics, or supply chain management
Familiarity with WMS, ERP systems, and logistics tools
Strong analytical and process optimization skills
Ability to bridge operational workflows with technology solutions
Excellent communication and stakeholder management abilities

Our Ideal Candidate

Is a domain expert in warehouse and logistics operations
Has strong problem-solving and analytical capabilities
Can translate operational needs into scalable solutions
Works effectively in cross-functional environments
Is interested in AI-driven transformation in logistics and supply chain

If this role interests you, follow our page to stay updated on more job opportunities and insights into how AI platforms are transforming warehouse operations and logistics intelligence.

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