1X Technologies

Lead Technical Product Manager - Data

San Carlos, CA

Sponsorship not specified$250k-$300kDetected 26 days ago

Machine LearningProduct ManagementRoboticsResearch

About the role

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.
World models are only as good as their data, which puts this role directly on the critical path: you are the single owner accountable for input quality, and that quality determines how fast NEO learns to operate safely in homes.
Define and operate quality metrics across data, annotation, and evaluation.

We're building humanoid robots that work in the home - doing the chores, handling the tasks, and giving people their time back.
NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people.
We're scaling, we're hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all.

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.
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).

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.

Comprehensive medical, dental, and vision coverage
Generous paid time off, company holidays, and parental leave
Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options
Commuter benefits (transit and parking)
Short-term and long-term disability, and life insurance
Employee Assistance Program (EAP) for mental health, financial, and personal support

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.
Drive execution relentlessly, turning ambiguous research needs into shipped pipelines, processes, and tooling.
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.

1X is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, justice system impact, or any other characteristic protected under applicable federal, state, or local law.

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This listing is sourced directly from 1X Technologies's careers page and normalized into a canonical job model.