Robotics Data Operations & Calibration PM

Garuda Ventures; San Francisco (CA); On-site; USD 150,000 - 250,000; Full time

Job summary

Foundry Robotics in San Francisco seeks a Technical Program Manager to translate model team requirements into production data, build data collection from scratch, and drive rapid build-test-learn cycles for rigorous, scalable datasets.

You will manage rigs, calibrate, define success criteria, and author SOPs, partnering with Operations and Robotics Data to ensure hours captured, delivered, and usable meet SDR and SLA targets.

Qualifications

• 3–5 years as a strong PM or TPM with exposure to hardware, data pipelines, or physical workflows.
• Proven ability to build data collection or technical operations programs from the ground up.
• Comfortable owning task specs, QA programs, and standardization.
• Experience with SQL or Python to pull data and build dashboards.

Responsibilities

• Manage the rig fleet end-to-end (UMI grippers, GoPros, VR headsets and controllers), including procurement, lifecycle, asset tracking, spares, and vendor relationships
• Own rig calibration cadence and drift detection, including GoPro intrinsics, fisheye calibration, UMI gripper width drift, and per-operator VR eye-tracking calibration
• Define success criteria with the model team, translating high-level data needs into rejection rules an assembler can apply consistently
• Author SOPs and hand them to the Operations Manager for floor execution
• Own new task ramp-up, including spec, SOP, pilot batch design, and quality gate sign-off before full production
• Curate gold-standard demos (20–50 reference demos per task), maintained against drift
• Run post-capture QA (sampling + success classifier) and pre-delivery validation against model team spec

Skills

PM/TPM experience

Data collection programs

SQL

Python

Hardware exposure

Problem solving

On-floor calibration

Tools

Excel

Dashboard tooling

Job description

Foundry Robotics in San Francisco seeks a Technical Program Manager to translate model team requirements into production data, build data collection from scratch, and drive rapid build-test-learn cycles for rigorous, scalable datasets.

You will manage rigs, calibrate, define success criteria, and author SOPs, partnering with Operations and Robotics Data to ensure hours captured, delivered, and usable meet SDR and SLA targets.