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Senior/Staff Technical Program Manager - Artificial Intelligence

Leads cross-functional engineering teams in Autonomy (Perception, Prediction, Planning) to translate corporate AI strategy into detailed roadmaps, manage risks, track KPIs for driving behavior, and deliver executive updates. Requires 6+ years in engineering program management with AI/ML and autonomous vehicle experience.

About the job

Responsibilities

  • Partner with engineering managers in the Autonomy team (Perception, Prediction & Behavioral ML, TeleGuidance, Planning & Controls, Collision Avoidance System) to translate corporate strategy into detailed product roadmaps, timelines, and deliverables.
  • Drive cross-functional teams across Autonomy teams to build and execute solutions for improving driving behavior.
  • Collaborate with engineering to develop measurements and datasets for Driving Behavior KPIs.
  • Highlight potential risks and proactively build risk-mitigating actions.
  • Build and deliver executive presentations on program status, issues/risks, and accomplishments.

Qualifications

  • BS/MS degree in computer science, engineering or equivalent job experience.
  • At least 6 years of experience in engineering program management.
  • Experience with AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes.
  • Strong track record of managing complex cross-functional projects and problem solving.
  • Ability to keep the big picture in focus and provide clear, well-structured communications.
  • Deep familiarity with software development processes & proficiency in tools like Gantt charts, risk matrix, Smartsheet, JIRA.
  • Excellent written, presentation, and verbal communication skills; ability to create visualizations of KPIs and program risks.

Bonus Qualifications

  • Experience with developing and scaling strategy, processes, plans, procedures, reporting and handling escalations.
  • Strong references highlighting ability to build relationships with senior leaders, program managers, and engineers.

Skills

AI/ML, Computer Vision, LLMs, Reinforcement Learning, Simulation, Jira, Smartsheet, Autonomous Vehicles, Software Development Processes, Gantt Charts

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