This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Define and drive the vision, strategy, and roadmap for the company’s AgentIQ AI Platform – including conversational AI, virtual assistants, and automation agents
Collaborate with stakeholders (Executive team, AI division, Sales, Marketing, and Customers) to align product direction with business goals and market needs
Research and analyze AI, LLM (Large Language Model), and workflow automation trends to identify opportunities for innovation
Ensure product strategy aligns with the company’s AI-first and digital transformation direction
Build, prioritize, and manage the Product Backlog to maximize customer and business value
Define clear User Stories, Acceptance Criteria, and Epics focusing on agent behavior, integration, and data interaction
Collaborate closely with AI Engineers, Data Scientists, Developers, UX/UI Designers, and QA to ensure successful delivery of high-quality features
Participate actively in Agile ceremonies (Sprint Planning, Grooming, Review, Retrospective) to guide development and maintain alignment with the product vision
Act as the main point of contact for all product-related communication between technical teams and business stakeholders
Communicate product vision, priorities, and roadmap clearly across departments
Collect user feedback and analyze data to translate insights into actionable improvements for future releases
Define and track key performance indicators (KPIs) such as agent accuracy, engagement rate, customer satisfaction, and retention
Partner with the Data and AI teams to analyze user interactions and conversational flows for optimization
Drive data-driven decision-making to improve user experience, performance, and scalability of the AI Agent platform
Requirements:
Minimum 3–6 years as a Product Owner / Product Manager / Business Analyst in AI, SaaS, or technology-based products
Knowledge of APIs, LLMs, NLP, Workflow Automation, and Data Pipelines
Understanding of the AI product lifecycle (training, integration, deployment, evaluation)
Solid grasp of Scrum practices, backlog prioritization, and sprint execution using JIRA, Confluence, or similar tools
Able to interpret and utilize product analytics (Google Analytics, Power BI, etc.) for decision-making
Strong communication skills in both English and Vietnamese
Communication skills – Ability to clearly convey product requirements to the team and stakeholders
Strategic thinking – Understanding the big picture and aligning the product vision with long-term business goals
Negotiation skills – Working with various stakeholders to reach agreements and align expectations
Analytical thinking – Analyzing data and product requirements to make informed decisions
Prioritization skills – Identifying key features and managing the product backlog efficiently
Adaptability – Quickly adjusting plans and strategies in response to changing circumstances
Nice to have:
Experience with Chatbots, Virtual Assistants, Automation Platforms, or Generative AI products
Familiarity with tools or frameworks such as OpenAI API, Azure OpenAI, LangChain, or RAG pipelines
Product or Agile certifications (CSPO, PSPO, SAFe POPM) are a plus
What we offer:
Vietnam labor regulations
Healthy Insurance
Competitive and high salary
Review salary twice a year (April and October (exceptional))
13th month-salary
Reward of the end the year
Raised on for achieving English and Technical certificates
Career Path clearly
Projects in many domain
Everyone is willing to support each other
Trained soft skills and SCRUM/Agile
Taking part in a clear, pre-defined training path along the career path on Microsoft Learning platform, PluralSight, etc
Evaluating skill progress via courses’ exams
Utilize unlimited courses on training platforms to broaden your own knowledge and competency
Real environment provided (Cloud credit, software/tools licenses, etc.) for R&D and practice
Office happy hours, Teambuilding, Company trip, Birthday, …