Robotics Data Program Manager

Menlo; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Menlo Research is seeking a Technical Program Manager to own how robot data is used within our research teams. You will be the connective tissue between researchers, engineers, and operators, with hands-on responsibilities—from debugging a teleop rig to designing a data ingestion workflow.

You’ll coordinate cross-site collection efforts, optimize throughput and quality, and partner with engineering to build high-fidelity sensor data pipelines.

Qualifications

• Experience running technical programs with real operational complexity.
• Ability to reason about hardware and data pipelines.
• Hands-on data collection experience, not just management.
• Strong data QA across collection to training, diagnosing why data fails.
• Data-driven mindset with measurable improvements.

Responsibilities

• Own the end-to-end lifecycle of robotics data collection programs, from research requirements to delivered datasets.
• Translate research goals into concrete collection protocols, task designs, and quality bars.
• Run collection operations across multiple sites and teleoperators, keeping throughput, quality, and cost on track.
• Partner with engineering to build and improve pipelines for high-fidelity sensor data such as video, robot logs, and teleop trajectories.
• Set up and maintain physical collection rigs and hardware, and scale them as demand grows.
• Define and track KPIs like throughput, yield, cost per hour of data, and turnaround time.
• Find the bottlenecks, then build the fix. Do not just flag problems.
• Keep researchers, engineers, and operators aligned on priorities and timelines.

Skills

Technical program management

Data collection pipelines

Cross-functional collaboration

Operational excellence

Hands-on data collection

Data QA

Tools

SQL

Python

Job description

Menlo Research is seeking a Technical Program Manager to own how robot data is used within our research teams. You will be the connective tissue between researchers, engineers, and operators, with hands-on responsibilities—from debugging a teleop rig to designing a data ingestion workflow.

You’ll coordinate cross-site collection efforts, optimize throughput and quality, and partner with engineering to build high-fidelity sensor data pipelines.