Technical Project Manager

Role Overview
We are looking for an experienced Technical Project Manager to lead digital engineering initiatives for a global warehouse automation and intralogistics organization. The role requires a combination of technical leadership, delivery management, customer engagement, and domain understanding.

Responsibilities

• 12 + years of experience, with at least 2 years in a Technical Project Manager or Engineering Manager role leading end-to-end delivery of complex software and digital engineering projects.
• Lead and drive technology projects across Retail, Logistics, and Supply Chain
• Provide technical oversight across Embedded, Data Engineering, Cloud, AI/ML, MLOps, Cyber Security, and Web Applications (Digital).
• Demonstrate strong understanding and hands-on experience across the Software Development Life Cycle (SDLC), Agile delivery, software estimation, risk management, change management, dependency management, and release management
• Ability to drive technical execution by understanding architecture, dependencies, implementation plans, delivery risks and engineering trade offs
• Experience with Jira, Azure DevOps, Microsoft Project, or equivalent project management tools.
• Proven experience leading engineering teams of 15 or more members.
• Strong financial acumen, including effort estimation, resource planning, budget forecasting, utilization, and project margin management.
• Support account growth through technical discussions, solutioning, and capability development.
• Support pre-sales, RFP/RFI responses, solution proposals, technical presentations, and Proof of Concept (PoC) activities, as required
• Hands-on experience using AI-assisted engineering tools such as GitHub Copilot, Microsoft Copilot, ChatGPT Enterprise, Claude or equivalent to improve engineering productivity.
• Experience applying AI for software development activities such as code reviews, documentation, test case generation, root cause analysis, backlog refinement, and engineering automation.
• Strong understanding of Responsible AI, AI governance, data security, and best practices for the safe use of AI in software engineering.
• Ability to evaluate, adopt, and drive AI-enabled engineering practices across development teams while ensuring quality, security, and compliance.

Technical Skills

• Embedded software development
• Exposure to Data Engineering, Data Platforms & Integration , Cloud technologies
• AI/ML, MLOps and automation know how
• Exposure to APIs, web applications and software engineering , Cyber Security, DevSecOps and compliance
• Agile/Scrum, CI/CD and modern software development practices
• Java/J2EE, .NET, or C experience nice to have

Domain Experience
Experience in one or more of the following is preferred:

• Warehouse Automation / Intralogistics
• Retail / Supply Chain / Logistics - Mandatory
• Manufacturing / Industrial Automation / Automotive is added advantage
• Robotics or Digital Engineering

Key Competencies

• Strong technical and architectural understanding with the ability to engage effectively with engineering teams and technical stakeholders
• Excellent project and stakeholder management skills
• Ability to lead distributed engineering teams
• Strong communication and customer-facing skills
• Ability to translate business requirements into technical solutions
• Strong problem-solving and decision-making capabilities
• Ability to balance technical, business, customer, quality, cost, and delivery considerations.
• Strong ownership mindset with a focus on predictable delivery and continuous improvement.
• Ability to operate effectively in a fast-paced environment and manage multiple priorities and stakeholders

Qualifications:

• Bachelor’s degree (or equivalent) in computer science, information technology, or engineering
• Interest in learning new tools, languages, workflows, and philosophies