Skip to content

Sr. Operations Manager (Robot Operators)

  • On-site
    • Palo Alto, California, United States
  • Operations

Job description

Since its founding in 2015, 1X has been at the forefront of developing advanced humanoid robots designed for household use. Our mission is to create an abundant supply of labor via safe, intelligent humanoids. We strive for excellence in all we do, solving some of the hardest problems in robotics with the world’s most talented individuals. Every part of our robots is designed and produced in-house—from motor coils to AI—reflecting our vertically integrated approach. At 1X, you’ll own real projects, be recognized for your achievements, and rewarded based on merit.

As we scale from research and development to full-scale manufacturing, we are looking for a seasoned Operations Manager to lead a large-scale operation for gathering, labeling, and validating the data that fuels our cutting-edge robotics technology. This role oversees the planning and execution of large-scale data collection operations, ensuring the data is of the highest quality and diversity. This includes managing data collected through Virtual Reality (VR) and other input methods, as well as overseeing the processes for data labeling and validation. The role requires an individual with proven experience in running people-intensive operations at scale, combined with an understanding of technology. Additionally, this role will ensure that operators are prepared to provide exceptional service to customers once Neo robots are deployed in homes.


RESPONSIBILITIES

  • Design and lead large-scale data collection operations, ensuring data diversity, quality, and relevance for training and validating robotics systems.

  • Manage data collection using VR and other input methods, driving operational efficiency and innovation in data capture techniques.

  • Oversee data labeling and validation workflows, ensuring accuracy and consistency across all datasets.

  • Build and manage a large, distributed team of operators, providing training, resources, and support to maintain high performance.

  • Develop and enforce standards for data quality, ensuring collected data meets stringent criteria for machine learning and robotics applications.

  • Plan and scale operations to meet the growing data requirements of the organization, balancing resources, timelines, and output quality.

  • Collaborate with engineering and AI teams to align data collection and labeling operations with technical needs and research objectives.

  • Establish robust feedback loops to continuously improve data collection processes based on insights from engineering and validation teams.

  • Develop metrics to measure the success of data collection, labeling, and validation efforts, using these insights to optimize processes.

  • Prepare and transition the operator workforce to support end-customer services as Neo robots are deployed, ensuring seamless service delivery.

  • Leverage technology to automate and enhance workflows, reducing manual effort and increasing the scalability of data collection and labeling operations.

Job requirements

  • Proven experience leading large-scale, people-intensive operations, preferably in data collection, call centers, or similar high-volume environments.

  • Strong understanding of data collection, labeling, and validation processes, particularly for machine learning and robotics applications.

  • Familiarity with data collection methods, including VR and other innovative input technologies.

  • Excellent organizational and leadership skills, with experience managing distributed teams across multiple geographies.

  • Technical acumen, with an understanding of how data supports AI and machine learning workflows.

  • Strong communication and collaboration skills, with the ability to work effectively across technical and operational teams.

  • Experience in developing and tracking operational metrics, with a data-driven approach to decision-making.

  • Ability to scale operations in a dynamic, fast-paced environment while maintaining high standards of quality and efficiency.

Location Policy

We believe the best work is done when collaborating and therefore require in-person presence in our office locations.

Typical interview process 

  • Introductions - interviews to learn more about you and talk about 1X and the role

    • Interview with a member of the Talent Acquisition team

    • Hiring manager / senior team member / technical interview

  • Team interviews - technical interviews and deep-dives with team members. May include a take home challenge, presentation or problem-solving exercise

    • Technical deep-dive conversation with a team member 

    • Onsite interviews with team members 

  • Final stages - you move to the final round

    • Expectation management with the hiring manager 

    • We will conduct reference checks

    • Job offer conversation 

Depending on the role and your background, additional interviews may be added. You are also welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.


We are a value driven team
These are the ideas that express our team’s culture and how we work:

Be Nice

Collaboration is our driving force. Our team creates an open, trusting environment where everyone can be their most creative.

Stay Smart

A world-changing team needs the brightest minds in every discipline. This is where people come to work, learn, and grow to their full potential.

Make History

Everything we do gets us closer to one ambitious vision: Creating an Abundant Supply of Labor using Safe, Intelligent Humanoids. We believe what we build today will impact generations.

We are an inclusive environment and value diversity of background, experiences and thought, and welcome applicants from diverse backgrounds to contribute to our mission.

We're excited to get to know you and the prospects of having you on board!

or

Explore Careers at 1X.

Our mission is to design Androids that work alongside people, to meet the world’s labor demands and build an abundant society.

1X Android EVE Manufacturing Hall in Moss