Senior Program Manager, Tech- Gen AI Data Collections

Uber
Sunnyvale, United StatesPosted 6 March 2026

Job Description

Senior Program Manager, Tech- Gen AI Data Collections Department: Engineering Team: Program Manager Location: Sunnyvale, United States Type: Full-Time **About the Role** 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 Senior Program Manager to own and drive complex, multi-country data collection programs end-to-end. **What the Candidate Will Do:** **Program Ownership:** Translate client SOWs into executable programs — scope, timelines, budgets, workforce model, and quality control frameworks. **Execution Hustle:** Solve operational bottlenecks in real time — whether it’s participant churn, equipment issues, location access, or low-quality submissions. **Quality & Compliance:** Ensure data meets specs, passes rejection thresholds, and complies with privacy/consent/data protection laws globally. **Stakeholder Management:** Act as the program point of contact with clients, internal teams, and external vendors. Provide progress reports, risk assessments, and mitigation plans. **Analytics & Reporting:** Monitor collection KPIs via dashboards, identify issues early, and drive corrective action. **Continuous Improvement:** Codify learnings into playbooks and SOPs for repeatability and faster future deployments. **Basic Qualifications:** - 5–8 years of professional experience in program management or operations. - Proven track record managing large-scale distributed programs in data, logistics, field operations, or crowdsourcing. - Planning, governance, and risk management skills. - Ability to engage and communicate effectively with all levels, including executives and field contributors. - Comfortable with metrics, dashboards, and root-cause analysis. - Hands-on, thrives in ambiguity, demonstrates bias for action, resilience under pressure, ability to work across cultures/geographies. **Preferred Qualifications:** - Exposure to AI/ML data programs, sensors, or field data collection. - Multi-country op
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