Santa Clara, CA | On-site | Full-time

Job Description:

As the Global Director of Data Operations, you will own the entire data operations lifecycle across multiple regions. You will build and lead scalable processes for high-quality, multimodal robotics data collection, annotation, and delivery. Your leadership will ensure our global clients receive training-ready datasets that power the next generation of intelligent robots.

Key Responsibilities

· Strategy & Leadership: Develop and execute the global data operations strategy, aligning with company goals and client needs in the robotics/AI ecosystem.

· End-to-End Process Ownership: Oversee the entire data pipeline: planning collection campaigns, managing annotation workflows, implementing quality control systems, and ensuring timely dataset delivery.

· Team & Vendor Management: Build and lead a hybrid team of internal specialists and external vendors. Set performance metrics, conduct reviews, and foster a culture of quality and efficiency.

· Quality & Scale: Design and implement systems to scale operations while maintaining stringent data quality standards for model training. Establish key performance indicators (KPIs) for throughput, accuracy, and cost.

· Cross-functional Collaboration: Act as the primary operations liaison for US-based clients, engineering, and product teams. Communicate requirements, report on progress, and drive process improvements based on feedback.

· Budget & Compliance: Manage the regional operations budget. Ensure all data collection and handling practices comply with relevant regional regulations and ethical guidelines.

Qualifications

· Experience: 10+ years in operations, program management, or data management, with at least 5 years in a leadership role. Direct experience in robotics, AI data, autonomous vehicles, or a related technical field is required.

· Proven Track Record: Success in building, scaling, and optimizing complex operational processes in a fast-paced environment.

· Leadership: Strong leadership and team management skills, with an ownership mindset to drive projects and targets.

· Technical Acumen: Ability to understand technical requirements for robotics data (sensors, modalities, formats). Experience with data QA tools, basic scripting (Python), or project management software is a strong plus.

· Communication: Excellent verbal and written communication skills, with the ability to manage stakeholders at all levels.

Strong Plus

· MBA or advanced degree.

· Experience managing distributed or remote teams.

· Network within the US robotics and AI research community.

What we offer

· Competitive salary, equity, and comprehensive benefits.

· Opportunity to define the data operations standard for an emerging industry.

· Work with world-leading experts and companies in robotics.

Default Benefits:

· Health insurance

· Vision care

· Dental coverage

· 401(k)

· Paid holidays

· PTO (Paid Time Off)

· Sick leave