Lead Technical Product Manager - Data
About The Position
1X is building humanoid robots for home use, aiming to automate chores and tasks to give people back their time. This involves solving complex challenges in robotics, AI, and manufacturing simultaneously and at scale. The company, founded in 2014, is now shipping its flagship product, NEO, a home robot designed for real-world operation alongside people. 1X is seeking individuals inspired by this mission to join their scaling team and contribute to changing how humans spend their time by safely creating abundance. The World Model Lab focuses on developing the learned models that enable NEO to understand its environment and act within homes. The quality of these models is directly dependent on the quality of the data used for training, including collected demonstrations, applied annotations, and real-world evaluations. This role is crucial for transforming 1X's data into intelligence and is responsible for the foundational aspects of this process.
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).
Nice To Haves
- 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.
Responsibilities
- Own 1X’s data strategy for the World Model Lab, ensuring the quality and effectiveness of data, annotations, and evaluations for world models.
- Drive measurable improvements in the quality and diversity of data feeding world model training from teleoperation, fleet (NEO), and simulation sources.
- Define the annotation quality bar and build labeling processes and metrics to ensure dataset trustworthiness for training.
- Own the strategy and pipelines for real-world evaluations to accurately measure model performance in home environments.
- Set the roadmap for data acquisition and sourcing, prioritizing collection to address limitations in model performance.
- Translate world model researchers' needs into a clear, prioritized data plan and drive its delivery.
- Drive execution by turning ambiguous research needs into shipped pipelines, processes, and tooling.
- Define and operate quality metrics across data, annotation, and evaluation.
- Partner with ML researchers and engineers to translate model needs into concrete data requirements.
- Reason about ML data and understand how data quality and distribution impact model performance.
Benefits
- Comprehensive medical, dental, and vision coverage
- Generous paid time off, company holidays, and parental leave
- 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%)
- 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
- Onsite snacks and catered lunches
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
