Manager, Technical Program Management - Sensors and Systems Engineering

• Lead, mentor, and develop a high-performing team of eight Technical Program Managers, fostering a culture of accountability and resilience.
• Navigate program ambiguity to create clarity around milestones, deliverables, and cross-functional dependencies.
• Oversee the full lifecycle of complex sensor engineering programs (Lidar, Radar, and Cameras) from initial definition through mass production and field resolution.
• Drive the program strategy for sensor integration and contamination mitigation, ensuring the system V-model is executed effectively alongside Perception and System Design teams.
• Manage the interdependencies between systems engineering and functional safety to ensure seamless execution across the hardware and software stack.
• Partner with the AHE Directors of Sensors and Systems Engineering to define resource requirements and manage program budgets in collaboration with Finance and Procurement.
• Provide concise and effective communication to senior leadership regarding program status, risks, and strategic accomplishments.
• Identify and resolve systemic organizational impediments to improve team velocity and product quality.

• At least 15 years of experience in technical program management, including at least 5 years of experience managing and mentoring teams of TPMs or engineers.
• Technical expertise in the development lifecycle of complex hardware and software systems within the robotics, automotive, or aerospace industries.
• Experience managing programs compliant with industry functional safety standards, such as ISO 26262 or IEC 61508.
• Ability to remain flexible and proactive in the face of uncertainty, breaking down ambiguous problems into actionable plans.
• BS or MS degree in an engineering discipline or equivalent experience.

• Experience working within the autonomous vehicle industry or the broader automotive space.
• Experience managing external suppliers to deliver complex products from conception to mass production.
• Deep understanding of Systems Engineering principles, including requirements management, traceability, and architecture trade-offs.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.