Director of Product, Data Flywheel at Serve Robotics | Torre
Director of Product, Data Flywheel
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Serve Robotics

Director of Product, Data Flywheel

Serve Robotics
Emma
Emma
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Full-time

Legal agreement: Employment

Compensation
USD221k - 275k/year
location_on
Remote (for United States residents)
Remote (for Canada residents)
Shared by
Emma of Torre.ai
 3 months ago

Responsibilities

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.Who We AreWe are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.Data is an integral part of Serve’s autonomy stack. As of EOY 2025, Serve has 2000 actively deployed robots making real world deliveries across numerous US cities. ‘Autonomy Data Flywheel’ is an internal Data product initiative that leverages on this large scale of real world robots and super-charges our End-End AI model development. It covers the entire data lifecycle starting with the data offloading infrastructure on edge, depots, and meeting the engineering needs of training, testing & validation.ResponsibilitiesBuild and drive roadmap for the Autonomy Data FlywheelDraft requirements and ensure delivery for all consumers of the data including End-End AI, Perception, Safety and other teams.Work with engineering teams to set and achieve targets for both quality and quantity KPIsDefine and maintain Data Diversity metrics for maximizing scenario coverage on Sidewalk ODD(Operational Design Domain)Cross functional initiatives with Operations and IT teams to drive depot and cloud infrastructure work.Support Data pipelines so that we are retaining the right data without impacting safety and day to day operationsQualificationsProduct/Engineering Experience for data infrastructure in AV/Automotive or Robotics/Edge AI industriesExperience building production level ML Ops pipelinesFluent with training datasets and evals for AI modelsPreferred: Experience with data infrastructure at Edge/Depot (E.g. NAS infra) and CloudExperience with ML Ops, targeted and active learning approachesPlease note: The listed base salary range applies to candidates based in the San Francisco Bay Area. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely within the United States and CanadaUSA - ALL: $200k - $245k USDCanada - ALL: $175k - $215k CAD
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