The role involves enhancing autonomous vehicle mapping by creating software, processes, and metrics to help the fleet navigate real-world disruptions. The individual will develop automated pipelines and operational tooling to ingest and arbitrate vehicle observations and third-party data. Responsibilities include managing a geospatial database to improve the vehicle's understanding of its environment. The position requires partnering with cross-functional teams to assess the impact of map changes on service quality and rider satisfaction. Additionally, the role entails working with scaled organizations to establish processes and training to support the product vision.

The role requires deep technical acumen regarding complex, multi-model systems and a proven track record in stakeholder management. Candidates must possess an infrastructure sense and demonstrate high attention to detail when addressing complex physical spaces. While not explicitly required, experience with machine learning, geospatial datasets, and databases involving data provenance is preferred. No specific degree or professional qualification is mentioned as a requirement.