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Director of Product , Data Flywheel

Serve Robotics

Los Angeles, CARemoteFull-time$200–245K/yrPosted 6mo agoVerified open 4 days ago
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At a glance

Compensation
$200–245K/yr
Location
Los Angeles, CARemote
Schedule
Full-time
Work Authorization
Not specified

Job overview

Serve Robotics is hiring a Director of Product , Data Flywheel. Serve Robotics is seeking a Director of Product, Data Flywheel to lead the development of their autonomy data product initiative. This role involves leveraging a large fleet of deployed robots to enhance AI model development, covering the entire data lifecycle from edge infrastructure to training, testing, and validation. The ideal candidate will drive the roadmap, define requirements, and collaborate with engineering, operations, and IT teams.

Key focus areas include Build and drive roadmap for the Autonomy Data Flywheel, Draft requirements and ensure delivery for all consumers of the data, and Work with engineering teams to set and achieve targets for quality and quantity KPIs.

Successful candidates bring Product Engineering Experience, ML Ops Pipeline Experience, and Training Datasets Expertise. Important skills include Build Roadmap, Draft Requirements, Ensure Delivery, Set And Achieve Targets, Define And Maintain Data Diversity Metrics, and Cross Functional Initiatives. Preferred (not required): MLOps, Targeted Learning Approaches, and Active Learning Approaches.

Skills & qualifications

RequiredNice to have

Skills

Build RoadmapDraft RequirementsEnsure DeliverySet and Achieve TargetsDefine and Maintain Data Diversity MetricsCross Functional InitiativesSupport Data PipelinesMLOpsTargeted Learning ApproachesActive Learning Approaches

Qualifications

Product/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 ModelsExperience With Data Infrastructure at Edge/Depot

Full job description

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 Are We 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.

Responsibilities

  • Build and drive roadmap for the Autonomy Data Flywheel

  • Draft 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 KPIs

  • Define 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 operations

Qualifications

  • Product/Engineering Experience for data infrastructure in AV/Automotive or Robotics/Edge AI industries

  • Experience building production level ML Ops pipelines

  • Fluent with training datasets and evals for AI models

  • Preferred: Experience with data infrastructure at Edge/Depot (E.g. NAS infra) and Cloud

  • Experience 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 Canada

  • USA - ALL: $200k - $245k USD

  • Canada - ALL: $175k - $215k CAD

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