Lead Technical Product Manager - Data

About the role

The World Model Lab builds the learned models of the physical world that let NEO understand its surroundings and act in real homes. Every model we train is capped by the quality of the data behind it - the demonstrations we collect, the annotations we apply, and the real-world evaluations we use to measure progress. This is the team that turns 1X’s data into intelligence, and this role owns the foundation it all stands on.

Key Outcomes

• Raise the quality of data coming in - Drive measurable improvements in the quality and diversity of data feeding world model training across teleoperation, fleet (NEO), and simulation sources.
• Raise the quality of annotations - Define the annotation quality bar and build the labeling processes and metrics that make every dataset trustworthy for training.
• Raise the quality of real-world evaluations - Own the strategy and pipelines for real-world evals so model performance is measured accurately where it matters: in the home.
• Own data acquisition and sourcing - Set the roadmap for where data comes from and prioritize collection to close the gaps that most limit model performance.
• Set the data roadmap with research - Translate world model researchers’ needs into a clear, prioritized data plan and drive it to delivery.

Key Competencies

• Drive execution relentlessly, turning ambiguous research needs into shipped pipelines, processes, and tooling.
• Define and operate quality metrics across data, annotation, and evaluation.
• Partner deeply with ML researchers and engineers, translating model needs into concrete data requirements.
• Reason about ML data, understanding how data quality and distribution shape model performance.

Minimum Requirements

• 3 - 5 years of product management experience, including leading technical or data products end to end.
• Proven track record of shipping data, ML, or infrastructure products in a fast-paced environment.
• Demonstrated ability to define metrics and drive measurable quality improvements.
• Experience working directly with ML, research, or engineering teams.
• Bachelor’s degree in a technical field or equivalent practical experience (ideal but not a deal breaker).

Preferred Skills

• Exposure to robotics, world models, or foundation model training.
• Familiarity with teleoperation, simulation, or large-scale data collection.
• Experience with annotation or labeling operations and data benchmarking.
• Appetite to grow from high-execution delivery into owning data strategy end to end.

What does a successful 1X Team Member look like

Team members at 1X who thrive here are builders. They move fast, own their work completely, and treat time like it's the one thing you can't get back - because it is. They say what they mean, finish what they start, and hold themselves to a standard before anyone has to ask. We push each other to be better, and we do it with honesty and respect.

Compensation Range

$250,000 - $300,000