SOFTWARE PROJECT MANAGEMENT ENGINEER

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Overview

The pace of innovation in artificial intelligence, machine learning, and digital engineering tools continues to accelerate, and the Data and Devices Business Unit is at the center of this transformation. Our customers are building intelligent systems that redefine how data is processed, analyzed, and used across compute, networking, and cloud infrastructure. At TE Connectivity, we support this evolution by developing intuitive, scalable software platforms and applications that enable engineers and business teams to leverage advanced analytics and AI driven insights.

We are seeking a Technical Software Project Manager (PjM) to drive the execution of complex software and AI initiatives across multiple engineering teams. This role focuses on coordinating engineering activities, managing cross functional dependencies, and ensuring successful delivery of software platforms and AI driven capabilities.

This position requires strong technical understanding of software systems, excellent organizational skills, and the ability to work closely with engineering teams, architects, and external development partners to drive projects from concept through production deployment.

Job Requirements

Key Responsibilities

Technical Project Leadership

• Lead execution of complex software and AI development projects spanning multiple engineering teams.
• Define project scope, milestones, technical deliverables, and execution timelines.
• Ensure alignment between architecture decisions, development activities, and project objectives.
  
  

• Coordinate development activities across backend, frontend, DevOps, ML engineering, and data science teams.
• Manage technical dependencies between systems, platforms, and engineering teams.
• Work closely with technical leads and architects to ensure project execution aligns with system architecture and engineering standards.
  
  

• Coordinate delivery with external software development partners and vendors.
• Define clear project deliverables and ensure partner work aligns with technical requirements and development timelines.
• Track progress and ensure partner outputs meet expected quality and performance standards.
  
  

• Support Agile development processes including backlog planning, sprint coordination, and release planning.
• Track engineering progress using tools such as Jira or similar project management platforms.
• Ensure teams maintain focus on project milestones while supporting iterative development practices.
  
  

• Identify project risks, technical challenges, and cross team dependencies early in the development cycle.
• Develop mitigation plans and coordinate resolution across teams.
• Escalate critical issues to engineering leadership when necessary.
  
  

• Provide clear visibility into project status, technical progress, risks, and delivery timelines.
• Develop project dashboards and executive updates for engineering and business leadership.
• Facilitate communication between engineering teams, product stakeholders, and leadership.
  
  

• Identify opportunities to improve project execution, engineering collaboration, and development workflows.
• Promote best practices in Agile delivery, technical project management, and cross team coordination.
• Help establish scalable project management processes for software and AI development initiatives.
  
  

• Bachelor’s with 8+ years, Master’s with 6+ years, or PhD with 3+ years of experience in Computer Science, Software Engineering, Engineering Project Management, or a related technical discipline.
• Experience managing complex software development projects involving multiple engineering teams.
• Strong understanding of software development lifecycles, system architecture, and engineering workflows.
• Experience coordinating cross functional technical teams including software engineers, ML engineers, DevOps teams, and data scientists.
• Experience working with Agile development methodologies and engineering delivery frameworks.
• Experience managing external development partners or vendors delivering software components or platforms.
• Experience using project management and engineering tracking tools such as Jira, Azure DevOps, or similar platforms.
• Strong communication and stakeholder management skills, with the ability to work effectively with both technical and non technical audiences.
• Ability to manage multiple technical projects simultaneously in a fast paced environment.
• Ability to work effectively with cross functional teams including software engineers, data scientists, and product managers.
• Ability to travel occasionally, up to 10%, for team meetings or training as needed.