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About the Role

Nimble is seeking a Senior Technical Program Manager to lead the systems responsible for ensuring the accuracy, reliability, and production-readiness of robot training datasets. This role involves owning the data and model pipeline quality function, designing end-to-end processes, defining success metrics, and establishing feedback loops for continuous improvement across data collection, labeling, and model development. The position requires cross-functional collaboration with engineering, research, autonomy, supply chain, and operations teams to align requirements, remove obstacles, and ensure high-quality data delivery at scale. A key aspect of the role is partnering with the research team to design and operationalize evaluation protocols for data quality, model performance, and task coverage.

Responsibilities

Own the quality function for data and model pipeline.
Design end-to-end processes for data quality.
Define success metrics for data and model quality.
Create feedback loops for continuous improvement.
Collaborate across engineering, research, autonomy, supply chain, and operations teams.
Align requirements and remove obstacles for data teams.
Partner with the research team to design and operationalize evaluation protocols.
Measure data quality, model performance, and task coverage with rigor and consistency.

Requirements

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.

Skills

AI/ML pipelines
Data quality systems
Model evaluation
Robotics workflows
Program management
Technical program management
Cross-functional collaboration
Data-driven decision making

Location

Remote

Work Type

Full-time

Experience Level

Senior

Education Level

BS/MS in a technical field or equivalent hands-on technical experience

Salary/Compensations

$140,000 - $200,000

Benefits

Unlimited Flexible Time Off
Medical, dental, and vision insurance
Paid Parental Leave
Commuter Benefits
Referral Bonus
401k
Equity

About the Company

Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce.
We’re training robot AGI to power a proprietary generalist supply chain superhumanoid.
We’ve raised over $220M at over $1B valuation and formed a strategic alliance with FedEx.
Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.
Our founding team comes from the AI labs at Stanford and Carnegie Mellon.
Our board of directors include famed robotics and AI legends including Fei-Fei Li, Marc Raibert, and Sebastian Thrun.
We embrace challenges and strive to make the impossible possible each day.
We are ambitious, gritty, humble and relentlessly resourceful in pursuit of our goals.

Equal Opportunity

Nimble Robotics, Inc. is an equal opportunity employer.
We make all employment decisions based solely on merit.
We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.