• 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.