Strategic Projects Lead

About the Company

Foundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. We are reimagining manufacturing through advanced robotics to rebuild the American manufacturing industry as an AI-first, assembly-focused, dual-use contract manufacturer.

Responsibilities

• Manage the rig fleet end-to-end including procurement, lifecycle, asset tracking, and vendor relationships
• Own rig calibration cadence and drift detection for GoPro intrinsics, gripper width, and VR eye-tracking
• Define success criteria with the model team and translate data needs into rejection rules
• Author SOPs and manage new task ramp-up, including pilot batch design and quality gate sign-off
• Curate gold-standard demos and run post-capture QA and pre-delivery validation
• Track diversity and coverage across task variants, lighting conditions, and operator styles
• Run daily capture logs and weekly dataset reporting to model and research stakeholders
• Own task spec versioning, SOP updates, and data marking
• Manage the 48-hour handoff SLA, including staging, upload integrity, and metadata completeness
• Run Root Cause Analysis (RCA) for rejected batches and define program-level OKRs
• Own data governance, compliance, and adherence to data handling standards

Requirements

• 3–5 years as a 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
• Proficiency in SQL or Python for data extraction and dashboard building
• Experience tracking and improving program metrics like usable hours and SLA attainment
• Ability to work both at a desk and on the manufacturing floor
• Strong cross-functional collaboration skills with researchers and engineers

Preferred Qualifications

• Experience supporting vendor or hardware supplier relationships
• Exposure to robotics, VLA models, or foundation model training data
• Experience scaling data collection programs from prototype to high-volume production
• Familiarity with computer vision, sensor calibration, or robotics data pipelines