Technical Product Manager

Technical Product Manager – AI Platform & ApplicationsLocation: Onsite | District 3, Ho Chi Minh CityEmployment Type: Full-timeRole SummaryOwn the delivery of product features, including AI-powered product capabilities fromconcept to production. Drive clarity in scope, requirements, and engineeringexecution. Operate at the intersection of product strategy, data, and softwareengineering to turn models into reliable, production-ready features—on time and onbudget.Core Responsibilities• Partner with Engineering (in Vietnam) and Product Managers (in the US) todefine architecture decisions, data pipelines, model integration, andperformance benchmarks.• Translate business goals into structured, testable technical requirements forfeatures, models, and systems.• Manage product lifecycle stages: release planning and post-launch iteration.• Define success metrics tied to usage, accuracy, latency, cost, and retention—not vanity metrics.• Write clear PRDs, user stories, and acceptance criteria from BusinessRequirement Documents (BRD).• Balance experimentation with discipline: enable rapid model prototyping whileenforcing production-grade standards.• Maintain tight control over scope creep, delivery risk, and technical debt.• Evaluate vendor technologies, LLM models, frameworks, and emergingarchitectures.• Ensure responsible AI use, including privacy, data protection, bias awareness,and regulatory compliance.Qualifications• 5+ years of product management experience in technical softwareenvironments.• Strong understanding of API design, cloud architecture, and data engineeringconcepts.• High technical literacy: able to review system designs, challenge complexity,and negotiate trade-offs with engineering teams.• Proven delivery track record with real, shipped products (not research-onlywork).• Excellent communication skills—clear, concise, and data-driven.• Formal training in Computer Science, Engineering, or a related field ispreferred.What Success Looks Like• AI models successfully deployed to production that materially improve useroutcomes.• Faster development cycles with fewer costly reworks.• Clear alignment between business goals and technical decisions.• Reduced ambiguity, predictable delivery, and controlled execution.