Mission Summary:
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 our core machine learning capabilities-specifically partnering with the Behaviors, Prediction, and ML Planning teams-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 has a strong background driving safety-critical ML software and model releases in a fast-paced environment.
What You'll Do:
- Drive Strategic Initiatives: Own and execute large-scale, complex technical programs critical to Motional's roadmap, focusing on model development and release cycles, while 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 behavioral capabilities, managing dependencies and driving integration efforts across Prediction and ML Planning teams to successfully launch large models.
- Dive Deep Technically: Go beyond surface-level program tracking. Dive deep into ML and behavioral issues to 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 ML and behaviors roadmap is well-defined, integrated, and aligned with top-level company goals.
What We're Looking For:
- Experience & Domain Knowledge: 7+ years of experience in technical program management or a similar role, leading complex, safety-critical AI software, robotics, or systems programs. Experience managing large model releases and model development lifecycles is highly preferred.
- 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.
- Clear Communication Skills: Demonstrated ability to act as the primary point of contact for complex programs, with a track record of communicating progress, risks, and strategic recommendations to leadership.
We encourage a hybrid schedule with in-office time at one of our locations in Boston or Pittsburgh to support collaboration, or this role can be fully remote