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Gramian Consulting
Gramian Consulting
ConsultingLogisticsMarketing
Gramian Consulting is a remote-first consulting firm focused on engineering, data, and AI talent. It helps organizations expand technical capacity through talent augmentation, recruiting, dedicated teams, and contractor management, while providing services such as LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure. The firm also supports individual career development through mentorship and education programs covering career readiness, interview preparation, and international market orientation. Its work combines hands-on engineering and recruiting experience to help clients build technical teams and apply AI to business needs.
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Senior Technical Program Operations Lead, AI Engineering – Vietnam Remote

Lead large-scale AI engineering data programs remotely from Vietnam, overseeing delivery, quality, throughput, contributor performance, timelines, and cost across distributed technical operations.

VNVietnamRemoteContractSeniorEnglish RequiredAI EngineerMachine Learning Engineer
GoJavaPythonSQLTypeScript

Description

  • Lead end-to-end program delivery, managing scope, timelines, quality, throughput, contributor performance, and cost.
  • Create and oversee workflows for coding datasets, agentic trajectories, reinforcement-learning environments, benchmarks, and rubric-based evaluations.
  • Find operational bottlenecks and improve execution through clearer instructions, sequencing, incentives, review processes, and capacity planning.
  • Define contributor profiles and collaborate with talent teams to source, evaluate, onboard, train, and ramp distributed software engineers.
  • Establish team-lead and reviewer models for programs supported by 100 to 1,000 or more contributors.
  • Manage quality-control systems and examine datasets for trends, recurring errors, and underlying causes.
  • Serve as the main customer contact for AI labs, reporting progress, risks, quality patterns, and recovery plans.
  • Turn research goals into workable task specifications, and question requirements that may fail to generate the intended evaluation signal.
  • Apply Python, SQL, or comparable tools to automate quality sampling, defect analysis, throughput reporting, and operational reviews.
  • Turn proven workflows into reusable playbooks, quality controls, evaluation resources, and contributor-management systems.
  • Distribute operational insights and coach other program leads.

Requirements

  • Demonstrated success leading complex, multi-stakeholder programs in software engineering, technical program management, consulting, finance, startups, operations, or a related setting.
  • Strong analytical and problem-solving ability, with experience finding bottlenecks, establishing useful metrics, and improving production performance.
  • Background managing distributed teams, contributor networks, marketplaces, or large-scale technical operations.
  • Excellent customer-facing communication skills, including expectation management, risk communication, and long-term client relationship building.
  • Ability to read and review code, understand test suites, and evaluate technical work independently.
  • Working proficiency in at least one programming language, such as Python, TypeScript, Java, or Go.
  • Experience using data and operational metrics to track quality, throughput, performance, and delivery.
  • Comfort working in fast-changing environments where research requirements and priorities shift quickly.

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