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Lead renewals, retention, and account growth for JoomPulse enterprise customers. Turn Mercado Livre and Shopee analytics into practical recommendations for marketplace sellers.
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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.
विवरण
- 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.
आवश्यकताएँ
- 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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