
Technical Program Operations Lead – AI Engineering
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in Vietnam.
• Take full ownership of program delivery, ensuring adherence to scope, timelines, quality standards, throughput, contributor performance, and budget.
• Design and oversee workflows for coding datasets, agentic trajectories, reinforcement learning environments, benchmarks, and evaluations based on rubrics.
• Detect operational bottlenecks and enhance workflows through improved instructions, sequencing, incentives, review procedures, and capacity planning.
• Establish contributor requirements and collaborate with talent acquisition teams to source, evaluate, onboard, train, and integrate distributed software engineers.
• Develop structures for team leads and reviewers for programs involving 100 to over 1,000 contributors.
• Manage quality-control systems and analyze datasets to uncover trends, systematic errors, and root causes.
• Serve as the primary point of contact for customers in AI labs, providing updates on progress, risks, quality trends, and recovery strategies.
• Convert research goals into actionable task specifications and challenge requirements that may not yield the desired evaluation results.
• Utilize Python, SQL, or similar tools to automate quality sampling, defect analysis, throughput reporting, and operational assessments.
• Transform successful workflows into repeatable playbooks, quality controls, evaluation resources, and contributor management systems.
• Disseminate operational insights and mentor other program leads.
• Demonstrated experience in leading intricate, multi-stakeholder programs within software engineering, technical program management, consulting, finance, startups, operations, or a comparable field.
• Excellent analytical and problem-solving abilities, including the capacity to pinpoint bottlenecks, establish meaningful metrics, and enhance production performance.
• Experience in managing distributed teams, contributor networks, marketplaces, or large-scale technical operations.
• Exceptional customer-facing communication skills, including setting expectations, conveying risks, and fostering long-term client relationships.
• Capability to read and review code, comprehend test suites, and independently evaluate technical work.
• Basic proficiency in at least one programming language, such as Python, TypeScript, Java, or Go.
• Experience in leveraging data and operational metrics to track quality, throughput, performance, and delivery outcomes.
• Ability to function effectively in environments where research requirements and priorities can shift rapidly.
• Competitive salary and performance-based bonuses.
• Comprehensive health benefits, including medical, dental, and vision coverage.
• Opportunities for professional development and continuous learning.
• Flexible work arrangements to support work-life balance.
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