Head of Intelligent Experience Products

7 days ago

Hanoi Capital Region, Vietnam EL4 - Software Studio Full time

Responsibilities

  • Direct the evolution of conversational systems, retrieval technologies, and voice-interactive features, ensuring they integrate smoothly across a large consumer platform.
  • Partner with ML, data, infrastructure, and backend teams to outline scalable architectures for model orchestration, retrieval pipelines, voice components, and interaction logic.
  • Define quality benchmarks related to system latency, recognition accuracy, ranking performance, safety controls, and output consistency.
  • Maintain product roadmaps, prioritize workstreams, manage sprint cycles, validate releases, and supervise testing processes for all AI-focused domains.
  • Shape the long-term vision for user experiences built on large-model reasoning, multimodal search capabilities, personalized ranking, and adaptive recommendations.
  • Own requirements and behavioral guidelines for intelligent assistants, including dialog flows, task execution, contextual memory functions, and voice-enabled interactions.
  • Oversee search experience refinement through metrics design, relevance evaluation, experimentation workflows, and continuous optimization of query understanding.

Requirements

  • Senior-level experience in product work related to AI or software platforms, including several years guiding teams or overseeing sophisticated intelligent-system initiatives.
  • Strong familiarity with large-scale model techniques, multi-layer information retrieval methods, vector-based indexing approaches, natural language interaction design, as well as speech-oriented technologies such as recognition, synthesis, and conversational understanding.
  • Proven history of steering AI-driven products from early exploration into stable, high-usage deployment environments.
  • Ability to turn complex technical or business inputs into structured product plans that can be executed and evaluated effectively.
  • Confident command of English in both technical discussions and executive-facing situations.
  • Hands-on involvement in building assistant-like capabilities or products powered by advanced language models for ecosystems offering multiple services.
  • Practical understanding of machine-learning development processes, cloud-based infrastructures, model operations workflows, vector retrieval systems, or relevance-ranking mechanisms.

Benefits

  • Working location: Gia Lam District, Ha Noi
  • Salary range: Negotiate

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