Data Partnership Manager

Maxinsights

Santa Clara (CA)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Health insurance

Vision care

Dental coverage

401(k)

Paid holidays

PTO (Paid Time Off)

Sick leave

Job summary

Maxinsights in Santa Clara, CA is seeking a Supply Chain BD leader to spearhead data-collection expansion and manage a crowdsourcing data network for embodied robotics. You will build scalable operations, recruit and lead a small team, and coordinate with BD, hardware R&D, and product to deliver high-quality multimodal data while ensuring compliance and timely delivery.

This hands-on role blends frontline operations with strategic growth, offering exposure to cutting-edge AI infrastructure and

Qualifications

Bachelor's degree or above in a related field (as listed).
3+ years in supply chain, BD, operations, or data management with at least 1 year of team leadership.
Hands-on experience with crowdsourcing models or sharing economy is preferred.

Responsibilities

Plan and expand data collection scenarios for embodied robots in real-world environments.
Build and operate a crowdsourcing data collection model and manage a diverse data-collector network.
Lead daily data collection operations, QC, and data delivery to stakeholders.
Collaborate with BD, product, hardware R&D, and other teams to meet dataset requirements.
Manage regional budgets and ensure compliance with data privacy and regulations.

Skills

English proficiency

Spanish (bonus)

Team leadership

Operations management

Crowdsourcing experience

Data collection

Education

Bachelor's degree

Tools

Crowdsourcing platforms

Job description

Job Description:

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 crowdsourcing 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.

Scenario Expansion & Supply Chain Ecosystem Building

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 "crowdsourcing 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.

Crowdsourcing Platform & Data Pipeline Management

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.

Operational Empowerment & Scaled Growth

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.

Team & Vendor Management

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).

Cross-Functional Collaboration

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.

Job Requirements

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 crowdsourcing 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.
Crowdsourcing & Rollout Expertise: Hands-on experience in crowdsourcing 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 manage and motivate small teams.
Language Skills: Excellent verbal and written communication skills in English. Proficiency in Spanish is a major plus for engaging with local communities and external teams.

Default Benefits: