Associate Program Manager – Physical AI Data Operations

About Us

About the Role

What You'll Do

• Support the execution of Physical AI data collection and annotation programs, ensuring smooth coordination across field and operations teams.
• Maintain and manage daily operational trackers, spreadsheets, dashboards, and MIS reports, ensuring accurate and timely visibility into program performance.
• Support resource planning and workforce allocation, including deployment, capacity planning, attendance, productivity, and utilization tracking.
• Coordinate with field teams, vendors, annotators, QC teams, and internal stakeholders to ensure seamless day-to-day execution.
• Monitor operational performance, identify gaps, investigate root causes, and drive corrective actions to improve program efficiency.
• Take ownership of operational challenges and work proactively towards timely resolution.
• Participate in on-field operations and travel to data collection sites to understand ground-level challenges, monitor execution, and identify process improvement opportunities.
• Track key operational metrics and proactively flag risks, dependencies, and execution bottlenecks.

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  Support process documentation, standardization, and continuous improvement initiatives across programs.

What We're Looking For

• 2–5 years of experience in operations, program management, logistics, data collection, annotation, or account management.
• Strong proficiency in Excel/Google Sheets, with the ability to manage operational trackers, dashboards, and MIS reporting.
• Strong critical thinking and problem-solving abilities, with a structured approach to identifying and resolving operational challenges.
• Ability to coordinate with multiple stakeholders and manage day-to-day execution in a fast-paced environment.
• Willingness to travel and work closely with field teams at data collection sites.
• Strong ownership, communication, organizational skills, and attention to detail.
• Ability to work with ambiguity, prioritize competing requirements, and drive tasks to closure.