About The Role
Motional is seeking to hire a Staff-level Autonomy TPM. This role requires strong, experienced leadership to drive complex initiatives across the company. We are seeking a high-impact individual to own and drive key cross-functional initiatives on the path to a driverless robotaxi. This role will operate across the entire autonomy stack-including perception, behaviors, planning, localization, and mapping-to help prioritize and track technical workstreams in support of our driverless goals.
The ideal candidate thrives in ambiguity, possesses technical expertise in robotics or autonomous systems, and safety-critical software in a fast-paced environment.
What You'll Do
- Drive Strategic Initiatives: Own and execute large-scale, complex technical programs that are critical to Motional's roadmap, ensuring alignment between senior engineering leaders, product managers, and executive stakeholders.
- Lead Cross-Stack Integration: Serve as the Directly Responsible Individual (DRI) for high-level autonomy capabilities, managing dependencies and driving integration efforts across Perception, Planning, Behaviors, and Mapping teams.
- Dive Deep Technically: Go beyond surface-level program tracking. Dive deep into technical autonomy issues to identify root causes, facilitate trade-off discussions, and drive teams to convergence on robust solutions.
- Identify and Resolve Blockers: Proactively identify, quantify, and communicate technical risks and dependencies. You will be expected to develop and execute mitigation strategies for high-priority issues that could impact our driverless milestones.
- Influence Roadmaps: Partner deeply with engineering and product leadership to ensure the autonomy roadmap is well-defined, integrated, and aligned with top-level company goals.
What We're Looking For
- Experience: 7+ years of experience in technical program management or a similar role, leading complex, safety-critical AI software, robotics, or systems programs.
- Domain Expertise: Experience in autonomous vehicles, robotics, applied AI/ML, or a comparable field.
- Education: Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field.
- Proven Delivery: A strong track record of taking large, complex programs from initial concept and ambiguity to a successful launch.
- Communicate with Clarity: Act as the primary point of contact for your programs, communicating progress, risks, and strategic recommendations to leadership and stakeholders in a clear, concise manner.
