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