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We are building one of the most scalable, high-quality data collection engines powering the next generation of AI. Our projects span audio, image, video, LiDAR, text, and multimodal datasets, across dozens of countries and environments. We are looking for a Program Manager to own and drive complex, multi-country data collection programs end-to-end. This role is ideal for someone who has thrived in startup environments where speed, hustle, and creative problem-solving matter more than rigid process. You will manage diverse contributor networks, oversee global operations, and ensure datasets meet strict client standards and high quality, at scale.
Job Responsibility:
Translate client SOWs into executable programs — scope, timelines, budgets, workforce model, and quality control frameworks
Solve operational bottlenecks in real time — whether it’s participant churn, equipment issues, location access, or low-quality submissions - and ensure program delivery and success
Build processes, systems and playbooks that help scale data collection programs systemically
Ensure data meets specs, surpasses accuracy thresholds, and complies with privacy/consent/data protection laws globally
Act as the program point of contact with clients, internal teams, and external vendors
Provide progress reports, risk assessments, and mitigation plans
Monitor collection KPIs via dashboards, identify issues early, and drive corrective action
Codify learnings into playbooks and SOPs for repeatability and faster future deployments
Influence our tech roadmap to build a world class data collection engine
Work with privacy, legal, ops and supply teams to unlock new use cases, markets and scale programs
Requirements:
5+ years Experience in program management or operations
Exposure to AI/ML data programs, sensors, or field data collection
Multi-country operations experience
Proven track record managing large-scale distributed programs, ideally in data, logistics, field operations, or crowdsourcing
Strong program management fundamentals — planning, governance, risk management
Hands-on hustler who thrives in ambiguity and doesn’t wait for perfect instructions
Exceptional stakeholder management — from C-level clients to field contributors
Data-driven operator — comfortable with metrics, dashboards, and root-cause analysis
Bias for action, resilience under pressure, and ability to work across cultures and geographies