Supply Chain BD

Location
:
Bay Area/Los Angeles

We are seeking a passionate and execution-driven Supply Chain BD leader to spearhead data collection scenario expansion and crowdsourced operations for embodied robotics. You will participate in building and operating a crowd sourcing supply chain model for embodied robot data collection, expanding data acquisition opportunities in real-world scenarios, and ensuring the delivery of high-quality, multimodal data for embodied AI model training. If you are deeply interested in building a  data production network  and are willing to accumulate experience through frontline, hands-on operations to achieve rapid growth, this is an excellent opportunity to join a team in the cutting-edge field of AI infrastructure.

• Assist in planning and executing the expansion of data collection scenarios for embodied robots, going deep into the frontline to uncover data collection opportunities in real-world environments such as factories, households, retail, healthcare, and logistics.
• Participate in building and operating the data collection  crowd sourcing model , assisting in the management of a diverse supply chain of data collectors (e.g., community residents, freelancers, part-time workers, etc.).
• Assist in establishing systems for collector recruitment, training, task dispatching, incentives, and retention to ensure a continuous and stable data supply chain.

• Take charge of the day-to-day operations of the entire data collection workflow, including task creation, collection execution, initial quality screening, and data delivery.
• Collaborate with product and technical teams to provide feedback on the user experience of crowdsourced collection tools, driving iterative optimization of these tools.
• Execute quality control processes to ensure the validity, accuracy, and compliance of the collected data.

• Assist in formulating scaling strategies to cover more regions and scenarios, increasing the density and production capacity of the data network.
• Identify and resolve common issues in daily operations (such as capacity fluctuations, cost control, collection team activity rates, etc.) to continuously optimize operational efficiency.
• Collaborate with the Business Development (BD) team to translate crowdsourced collection capabilities into delivery support for commercialized data products.

• Responsible for building, training, and managing a small data operations team on a daily basis (including collection specialists, QA specialists, etc.).
• Manage and coordinate external crowdsourced collectors and third-party data service vendors, tracking key performance indicators (KPIs).

• Work closely with hardware R&D, algorithm teams, product departments, and the broader BD department to co-define data collection specifications and standards.
• Act as the operational interface between clients and R&D teams, precisely understanding requirements to ensure datasets are delivered on time and with high quality.
• Assist in managing regional operational budgets, ensuring all data collection and processing activities strictly comply with US data privacy, security, and relevant regulations.

• Educational Background:
  Bachelor’s degree or above. Majors in Computer Science, Communications, Automation, Data Science, Management, or related fields are preferred.
• Core
  
  Experience:
  
  3+ years of experience in supply chain, BD, operations, project management, or data management, including at least 1 year of team management experience. Those with a certain understanding of or practical experience in crowd sourcing models or the sharing economy are preferred; backgrounds in crowdsourced operations within ride-hailing, local on-demand services, or the AI data sector are highly preferred.
• Crowd sourcing & Rollout Expertise:
  Hands-on experience in crowd sourcing models, the sharing economy, or managing large-scale localized rollouts and promotional campaigns is required. Backgrounds in crowdsourced operations within ride-hailing, local on-demand services, or the AI data sector are highly preferred.
• Scenario Expansion Capability:
  Possess awareness of supply chain and scenario expansion, and understand the operational characteristics of at least one real-world scenario (e.g., households, factories, retail, etc.).
• Technical Understanding:
  Ability to understand the basic technical requirements of embodied AI data collection. Familiarity with sensors, data formats, and collection specifications is preferred.
• Execution & Responsibility:
  Ability to go deep into the frontline to solve practical operational problems, possessing a strong sense of responsibility and determination to achieve goals.
• Communication &
  
  Collaboration:
  
  Excellent cross-departmental and cross-team communication and coordination skills, with the ability to effectively…