Staff TPM

Motional•Boston, MA

1d•$144,000 - $191,250•Hybrid

About The Position

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.

Requirements

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.

Responsibilities

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.