Technical Project Manager (AI)
Job reference: 23081
Date posted: 03/11/2026
Job Type: Permanent
Salary up to: 70000000 (VND) - 10000000 (VND)
Industry: Information and Communications Technology (ICT)
Responsibilities:
● Own engineering projects end to end — from statement of work and kick-off, through weekly execution, to final performance reports — in close partnership with technical leads.
● Define project scope, milestones, and acceptance criteria (for example, target throughput and latency on specific hardware configurations) together with engineers, researchers, and customer-facing teams.
● Run the operating cadence of the project portfolio: weekly sync-ups, leadership reviews, and status reporting that keeps project health visible from engineers to C-level.
● Coordinate across timezones and organizations — projects routinely span Hanoi, Seoul, and partner teams around the world — and serve as the single point of contact for your projects.
● Anticipate and manage the risks that actually occur in this environment: contention for shared GPU clusters, urgent customer benchmark requests, fast-shifting model priorities — triage, re-plan, and keep engineers unblocked and focused.
● Facilitate agile practices adapted to research-flavored engineering, where scope evolves as quickly as the AI field itself.
● Foster a team culture of ownership, transparency, and open technical debate.
Requirement skills:
● 3+ years of experience in a similar position
● Proven experience in project management, preferably in software engineering or technology-focused environments.
● Strong understanding of software development processes and methodologies (Agile, Scrum, etc.).
● Excellent organizational and leadership skills, with the ability to manage multiple projects simultaneously.
● Strong communication and interpersonal skills to effectively collaborate with multiple technical teams concurrently.
● Proficiency in project management tools and techniques for tracking progress and reporting. Preferred skills:
● Familiarity with AI, machine learning, or related technologies.
● Familiarity with high-performance technologies, including GPU computing and distributed systems.
● Experience working with international teams, an overseas HQ, or global enterprise customers.
● Project Management Professional (PMP) certification or equivalent.
● Own engineering projects end to end — from statement of work and kick-off, through weekly execution, to final performance reports — in close partnership with technical leads.
● Define project scope, milestones, and acceptance criteria (for example, target throughput and latency on specific hardware configurations) together with engineers, researchers, and customer-facing teams.
● Run the operating cadence of the project portfolio: weekly sync-ups, leadership reviews, and status reporting that keeps project health visible from engineers to C-level.
● Coordinate across timezones and organizations — projects routinely span Hanoi, Seoul, and partner teams around the world — and serve as the single point of contact for your projects.
● Anticipate and manage the risks that actually occur in this environment: contention for shared GPU clusters, urgent customer benchmark requests, fast-shifting model priorities — triage, re-plan, and keep engineers unblocked and focused.
● Facilitate agile practices adapted to research-flavored engineering, where scope evolves as quickly as the AI field itself.
● Foster a team culture of ownership, transparency, and open technical debate.
Requirement skills:
● 3+ years of experience in a similar position
● Proven experience in project management, preferably in software engineering or technology-focused environments.
● Strong understanding of software development processes and methodologies (Agile, Scrum, etc.).
● Excellent organizational and leadership skills, with the ability to manage multiple projects simultaneously.
● Strong communication and interpersonal skills to effectively collaborate with multiple technical teams concurrently.
● Proficiency in project management tools and techniques for tracking progress and reporting. Preferred skills:
● Familiarity with AI, machine learning, or related technologies.
● Familiarity with high-performance technologies, including GPU computing and distributed systems.
● Experience working with international teams, an overseas HQ, or global enterprise customers.
● Project Management Professional (PMP) certification or equivalent.
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