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Data Collection Program Manager, Robotics

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: The Rundown AI, Inc.
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Science Manager, Systems Engineer, Data Analyst, IT Specialist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Scale AI is seeking a hands-on Data Collection Program Manager to own and optimize contributor-facing workflows across hardware, rigs, and physical logistics. This role blends program management, operational problem-solving, and process ownership to ensure smooth execution of complex, work stream projects.

You’ll coordinate contributors, manage hardware and rig logistics, and improve SOPs while solving real-world challenges at the intersection of digital and physical workflows. This role is ideal for someone who thrives in operationally complex environments and wants ownership over end-to-end execution.

You will:
  • Coordinate contributors across multiple operational workflows (no direct reports)
  • Manage hardware and rig logistics to ensure timely, accurate delivery and setup
  • Own SOPs and operational processes, continuously iterating to improve efficiency
  • Solve hands-on problems spanning both digital and physical workflows
  • Track work streams, identify bottlenecks, and proactively implement solutions
  • Collaborate with cross-functional teams (Engineering, Product, Procurement, Data) to ensure seamless execution
  • Build reporting and feedback loops to provide transparency and inform leadership decisions
  • 5 days in office
Ideally you d have:
  • 3–5+ years as a strong Operations or Program Manager with exposure to hardware, logistics, or physical workflows
  • Experience coordinating multiple work streams simultaneously
  • Hands-on problem solver with a bias toward action
  • Comfortable working in a contributor-facing, on-site operational environment
  • Strong organizational skills with the ability to design scalable processes
  • Experience improving processes and SOPs for operational efficiency
Nice to haves:
  • Experience in hardware operations, rig setup, or warehouse/logistics environments
  • Familiarity with workflow or project management tools
  • Exposure to cross-functional collaboration across engineering, product, or operations teams
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