Director of Product, Data Flywheel - Remote

Overview

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.

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.

In Short

• 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

Requirements

• 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

Benefits

• Competitive salary and compensation
• Opportunity to work with cutting-edge robotics technology
• Collaborative and diverse work environment
• Flexible working conditions, including remote work options
• Professional development opportunities