Program Management - Program Manager III

We are seeking a Technology Operations & AI Automation Program Manager to support a portfolio of emerging technology initiatives within a hardware engineering environment.

This role will focus on managing end-to-end operational processes and transforming manual workflows into AI-driven, automated systems. You will work closely with cross-functional teams including engineering, product, business operations, and finance to improve efficiency and scalability across innovation programs.

• Manage operational processes for a portfolio of 15-20 active technology projects
• Track progress, milestones, and stakeholder updates
• Build and maintain executive dashboards and reporting structures
• Document and optimize workflows for scalability

• Design and implement AI-powered automation pipelines
• Replace manual processes (reporting, tracking, reconciliation) with automated solutions
• Build and optimize workflows using AI/LLM tools

• Consolidate data from multiple sources (spreadsheets, databases, presentations, etc.)
• Establish a centralized data system as a single source of truth
• Design data flows from intake to reporting (dashboards, automated outputs)

• Partner with engineering, product, and business teams
• Drive adoption of new processes and tools across teams
• Present insights and updates to leadership

• Deliver data-driven insights on:
  
  
  
  • Portfolio health
  • Resource allocation
  • Technology success metrics
  • Operational efficiency
  
  
  
  

• 5+ years of experience in:
  
  
  
  • Program Management
  • Product or Engineering Operations
  • Technology Operations (preferably in hardware or R&D environments)
  
  
  
  
• Hands-on experience with AI/LLM tools (e.g., AI workflows, automation, agents)
• Experience designing data workflows and systems (intake processing reporting)
• Strong ability to drive process adoption across cross-functional teams
• Excellent communication skills with both technical and business stakeholders
• Ability to work independently and own end-to-end operational processes

• Experience with innovation lifecycle frameworks (e.g., stage-gate, NPI, technology readiness)
• Background in hardware, AR/VR, wearable devices, or consumer electronics
• Experience with:
  
  
  
  • AI platforms / automation tools
  • No-code/low-code tools (e.g., Airtable, AppSheet)
  • Portfolio management or large-scale program operations
  
  
  
  
• Familiarity with data reporting, dashboards, and forecasting

1. Strong experience with AI / LLM-based automation
2. Background in product or engineering operations
3. Experience working with innovation or technology development processes