About this role
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
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Strategy & Leadership: Develop and execute the global data operations strategy, aligning with company goals and client needs in the robotics/AI ecosystem.
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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.
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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.
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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.
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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.
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Budget & Compliance: Manage the regional operations budget. Ensure all data collection and handling practices comply with relevant regional regulations and ethical guidelines.
Qualifications
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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.
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Proven Track Record: Success in building, scaling, and optimizing complex operational processes in a fast-paced environment.
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Leadership: Strong leadership and team management skills, with an ownership mindset to drive projects and targets.
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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.
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Communication: Excellent verbal and written communication skills, with the ability to manage stakeholders at all levels.
Strong Plus
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MBA or advanced degree.
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Experience managing distributed or remote teams.
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Network within the US robotics and AI research community.
What We Offer
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Competitive salary, equity, and comprehensive benefits.
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Opportunity to define the data operations standard for an emerging industry.
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Work with world-leading experts and companies in robotics.
Default Benefits:
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Health insurance
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Vision care
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Dental coverage
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401(k)
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Paid holidays
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PTO (Paid Time Off)
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Sick leave