Transform urban delivery with cutting-edge data solutions as a Director of Product. Spearhead the Autonomy Data Flywheel to revolutionize AI capabilities while supporting real-world robotic operations. In this senior role, you will leverage your expertise in product development and engineering within the automotive or robotics sector. Your objective is to coordinate efforts across teams while ensuring quality data management and infrastructure necessary for advanced machine learning. Join a forward-thinking team committed to driving impactful technology. Key Responsibilities: • Drive roadmap development for the Autonomy Data Flywheel • Ensure data delivery for AI and Perception teams • Work with engineering to hit critical KPI targets • Define metrics for maximizing operational coverage • Collaborate on depot and cloud infrastructure enhancements Requirements: • Background in product engineering for robotics or AV fields • Expertise in building ML Ops pipelines • Strong knowledge of training datasets for AI • Preferred experience with Edge and Cloud data systems • Familiarity with targeted learning approaches Lead the charge in creating data-driven solutions that set a new standard for urban deliveries and AI advancements. #J-18808-Ljbffr
A technology firm in robotics is seeking an experienced product/engineering professional to manage the data infrastructure for their Autonomy Data Flywheel project. This role involves drafting requirements for data consumption, collaborating with engineering teams on KPIs, and supporting data pipelines without impacting safety. Candidates should have experience in robotics, ML Ops, and data infrastructure. The position is open to remote candidates in the United States and Canada, with a competitive salary range offered based on location and experience. #J-18808-Ljbffr
A technology firm in robotics is seeking an experienced product/engineering professional to manage the data infrastructure for their Autonomy Data Flywheel project. This role involves drafting requirements for data consumption, collaborating with engineering teams on KPIs, and supporting data pipelines without impacting safety. Candidates should have experience in robotics, ML Ops, and data infrastructure. The position is open to remote candidates in the United States and Canada, with a competitive salary range offered based on location and experience. #J-18808-Ljbffr
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 approaches*Please 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 #J-18808-Ljbffr
Lead innovations in robotic delivery with a focus on data strategy. Oversee the Autonomy Data Flywheel project to enhance AI performance while supporting efficient operational workflows for urban robots. This leadership role demands a blend of product development and engineering mastery in cutting-edge robotics. You will be responsible for driving the strategic roadmap, enhancing data utilization across teams, and managing KPIs. Your work will shape the data landscape for an expanding fleet of delivery robots nationwide. Key Responsibilities: • Strategize and execute the Autonomy Data Flywheel • Define data delivery requirements for cross-functional teams • Collaborate with engineering to achieve KPIs • Establish metrics for diverse operational scenarios • Work with IT to bolster infrastructure capacity Requirements: • Product or engineering expertise in robotics/AV • Successful experience in deploying ML Ops • Well-versed with AI training datasets • Background with Edge and Cloud infrastructures preferred • Experience in active learning methodologies Drive the future of delivery logistics by developing scalable data solutions that optimize robotic efficiency and operational safety. #J-18808-Ljbffr
Lead innovations in robotic delivery with a focus on data strategy. Oversee the Autonomy Data Flywheel project to enhance AI performance while supporting efficient operational workflows for urban robots. This leadership role demands a blend of product development and engineering mastery in cutting-edge robotics. You will be responsible for driving the strategic roadmap, enhancing data utilization across teams, and managing KPIs. Your work will shape the data landscape for an expanding fleet of delivery robots nationwide. Key Responsibilities: • Strategize and execute the Autonomy Data Flywheel • Define data delivery requirements for cross-functional teams • Collaborate with engineering to achieve KPIs • Establish metrics for diverse operational scenarios • Work with IT to bolster infrastructure capacity Requirements: • Product or engineering expertise in robotics/AV • Successful experience in deploying ML Ops • Well-versed with AI training datasets • Background with Edge and Cloud infrastructures preferred • Experience in active learning methodologies Drive the future of delivery logistics by developing scalable data solutions that optimize robotic efficiency and operational safety. #J-18808-Ljbffr
