Position Overview
We are looking for a Technical Program Manager to build and lead the systems that ensure our robots are trained on the most accurate, reliable, and production-ready datasets in the world. In this role, you will own the quality function for our data and model pipeline—designing end-to-end processes, defining success metrics, and creating the feedback loops that drive continuous improvement across data collection, labeling, and model development.
You’ll work across the entire organization—engineering, research, autonomy, supply chain, operations, and on-site data teams—to align requirements, remove obstacles, and ensure high-quality data is delivered at scale. You will also partner closely with our research team to help design and operationalize evaluation protocols that measure data quality, model performance, and task coverage with rigor and consistency.
Your work will directly influence the intelligence, reliability, and safety of Nimble’s frontier AI-driven robots. This is a highly cross-functional, high-ownership role where clarity, operational excellence, and technical depth are essential.
Qualifications
- BS/MS in a technical field (CS, EE, MechE, Robotics, Physics, Math) or equivalent hands-on technical experience.
- Proven track record navigating complex AI/robotics programs from concept through deployment in fast-paced environments.
- Exceptional communication skills, able to translate technical details into clear plans and align diverse stakeholders.
- Strong ability to work across robotics, AI/ML, hardware, software, and operations teams, understanding how these disciplines integrate in real systems.
- Outstanding organizational and program management skills, with experience driving multi-team initiatives and managing technical dependencies.
- Data-driven decision making, using metrics, experiments, and operational insights to prioritize work and validate outcomes.
- Demonstrated ownership, clarity under ambiguity, and alignment with Nimble’s values of being resourceful, humble, dependable, and committed to legendary impact.
Preferred Qualifications
- MBA, or experience scaling technical programs involving operations, manufacturing, or supply chain.
- Background in AI/ML pipelines, data quality systems, model evaluation, or robotics workflows.