Data Operations Manager

Location: Hybrid — New York City or San Francisco Compensation: $120,000 – $150,000 base + equity + benefits About the Role MicroAGI is building the data infrastructure that will power the next generation of embodied AI systems. We are looking for a Data Operations Manager to own the execution layer that turns active projects into high-quality delivered data. You will coordinate across operators, deployment, engineering, and commercial teams to ensure our data programs run on time and scale efficiently. This is an operations role — not strategy, product, or GTM. It calls for someone who thrives in complexity, can orchestrate large distributed workforces, and knows how to turn messy workflows into repeatable systems. What You'll Do Own day-to-day execution of data collection programs across the U.S. Drive tactical execution of multi-million-dollar projects under demanding timelines Orchestrate the work of large contributor networks (1,000+ operators) Build and maintain deep working relationships with researchers and stakeholders at top AI labs Monitor throughput, quality, and operational performance across active data programs Translate customer requirements into clear internal execution plans Diagnose bottlenecks, restructure workflows, and implement solutions that improve quality, throughput, and cost efficiency Build the playbooks, trackers, QA processes, and reporting systems needed to scale Requirements Proven experience in operations, program management, data operations, strategic operations, or project execution Strong ability to manage multiple workflows, stakeholders, and deadlines simultaneously Analytical mindset with comfort using systems, trackers, and operational data to drive decisions Excellent communication and organizational skills High agency — you move fast, take ownership, and don't wait to be told what to do Strong Plus Experience in AI data operations, marketplace operations, trust and safety operations, or logistics-heavy environments Experience coordinating distributed teams or large contractor workforces Experience building processes from scratch in ambiguous, fast-moving environments J-18808-Ljbffr