Sr Technical Project Manager - Active Learning Loop

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

TEAM
At Woven by Toyota (WbyT), the AD/ADAS Project Management Team enables the successful delivery of engineering technology that advances the company’s business goals. As a strategic partner to WbyT’s Engineering and Product functions, the Project Management team leads the technical execution of the AD/ADAS portfolio, maintains the organization’s plan of record, and drives the velocity and agility of a highly cross-functional engineering organization distributed across multiple global locations.

Our team members come from a mix of Autonomy, off-board ecosystem, hardware and vehicle backgrounds but we all share a common drive to enable the delivery of complex and safe autonomous engineering products to the world. We are problem solvers who make things happen by setting and communicating clear goals and supporting engineering teams to deliver through the technical and organizational complexity.

WHO ARE WE LOOKING FOR?
We are seeking an experienced and passionate Staff Technical Program Manager to contribute to Woven’s Active Learning Loop program that enables the continuous improvement of our autonomous driving stack across data pipelines, ML training, simulation, validation, and deployment.

The ideal candidate is comfortable navigating ambiguity, engaging with senior leadership, and driving cross-functional programs across distributed, global teams with minimal direction. You are motivated by the challenge of bringing complex technology platforms to production and have a strong instinct for connecting technical execution to business outcomes.

This role demands proficiency in data and cloud infrastructure, machine learning platform systems, tools, simulation, and validation workflows. Additionally, it requires strong cross-functional communication skills and a data-driven strategy to enhance engineering speed and cost efficiency.