Serve as the end‑to‑end owner for high‑impact robotics data collection projects, from initial scoping through launch, iteration, and scale
Understand customer and internal model requirements and translate them into capture specs (modalities, environments, volumes, edge cases) that measurably improve model performance
Build detailed project plans, timelines, and operational workflows to ensure high‑quality, efficient data collection across real‑world, lab, and simulated environments
Stand up and refine pipeline infrastructure and processes with partner engineering teams so that data flows cleanly into annotation, training, and evaluation
Train, coach, and functionally lead distributed teams of operators, moderators, contributors, collectors and site staff executing collection campaigns
Build dashboards, analytics, and regular reports to guide data‑driven decisions on coverage, quality, throughput, and unit economics
Partner closely with Engineering, Product, Finance, and Go‑to‑Market to design and deliver solutions that drive both technical outcomes (better VLAs/VLMs, policies, world models) and business outcomes (revenue, margins, strategic wins)
Provide clear, regular progress updates and risk/mitigation plans to leadership and other senior stakeholders
Contribute as a thought leader in Robotics & Physical AI by publishing blogs, talks, internal write‑ups, or open‑source artifacts that share learnings from our data, systems, and customer work.
Requirements
A strong technical background plus a business‑oriented mindset (e.g., degree in engineering, computer science, or related field, and prior exposure to driving business outcomes with data/AI/robotics)
3+ years of experience leading project or program teams, developing operational processes, or launching new operations in a fast‑paced environment
Excellent problem‑solving skills and comfort working through complex, ambiguous operational challenges; you can design creative solutions and then execute them
Demonstrated entrepreneurial mindset—you enjoy building from zero to one, identifying issues early, and moving quickly to resolve them
Comfort with AI tools to optimize and automate workflows.
Hands‑on experience in Robotics, AI, and/or Computer Vision, especially in data‑heavy workflows
Experience working with global or cross‑time‑zone teams.