Principal Technical Program Manager

Responsibilities

• Portfolio Governance: Own the company-level program portfolio — maintaining a single source of truth for commitments, capacity, dependencies, and status across all active lines of work.
• Business-Engineering Translation: Serve as the primary interface between executive leadership and engineering teams, translating business commitments (contracts, growth targets, customer deployments) into engineering capacity plans and surfacing tradeoffs before they become misses.
• Executive Reporting: Design and maintain the dashboards, cadences, and reporting frameworks that give the senior leadership clear, accurate visibility into portfolio health without noise.
• Capacity Planning & Demand Management: Partner with engineering leads across Hardware, Perception, Platform/Cloud, and Eng Ops to maintain a real-time view of capacity versus committed demand, and drive prioritization decisions when they conflict.
• Cross-Functional Program Delivery: Drive end-to-end delivery of strategic programs that span multiple engineering pillars and business functions, including customer-facing deployments, new product launches, and operational scaling initiatives.

Required Qualifications

• B.S., M.S., or Ph.D. in an engineering discipline
• 12+ years in Technical Program Management, Engineering Program Management, or a related role
• Demonstrated track record managing a portfolio of concurrent, cross-functional programs in a fast-moving environment
• Experience navigating business-engineering tension: translating contracts, revenue commitments, or customer obligations into engineering capacity and sequencing decisions
• Technical fluency across multiple domains — enough to engage credibly with hardware, embedded, cloud, and AI engineering teams without domain specialists present
• Strong executive communication skills: structured, direct, and able to distill complex program status into clear decisions

Preferred Qualifications

• Experience with on-vehicle, edge-deployed, or ruggedized systems (hardware, embedded, edge AI)
• Background in computer vision, autonomous systems, robotics, or AI/ML programs
• Experience delivering technology to government or municipal clients (procurement cycles, compliance requirements, deployment constraints)…