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Strong employer brand, metro role and common title but technical code-read requirement limits applicant pool.
Needs software-engineering and AI data program experience, limiting cross-industry transferability.
Requires code-review ability and large-scale program management, so moderate filtering on skills and experience.
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Own end-to-end operational delivery and quality control of software-engineering data programs involving complex coding tasks and evaluation workflows.
Coordinate large-scale distributed contributor networks (100–1,000+ engineers), managing training, performance, and incentives to maintain execution standards.
Serve as primary client interface for frontier AI labs, translating research requirements into actionable specifications and building long-term partnerships.
Strong technical proficiency: ability to read and review code and tests in Python, TypeScript, Java, or Go.
Experience managing complex, multi-stakeholder projects in technical program management, software engineering, consulting, finance, startups, or similarly operationally intense environments.
Customer-facing experience interacting directly with high-profile clients.
Work Experience Required: Not explicitly mentioned in the JD.
Expertise in process optimization and managing large-scale operational workflows in technical or research-driven environments.
Skilled in balancing technical and operational responsibilities, including quality data production at scale and troubleshooting production bottlenecks.
Experienced in client relationship management with a focus on translating technical research intent into scalable execution plans.