Project Management FrontEnd Cloud Services .NET
♦ Product Vision & Strategy - 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. ♦ Backlog & Agile Management - 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 visio ♦ Stakeholder Management & Communication - 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. ♦ Product Performance & Continuous Improvement - 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.
Technical Skills - Experience: Minimum 3–6 years as a Product Owner / Product Manager / Business Analyst in AI, SaaS, or technology-based products. Technical understanding: - Knowledge of APIs, LLMs, NLP, Workflow Automation, and Data Pipelines. - Understanding of the AI product lifecycle (training, integration, deployment, evaluation). - Agile expertise: Solid grasp of Scrum practices, backlog prioritization, and sprint execution using JIRA, Confluence, or similar tools. - Data literacy: Able to interpret and utilize product analytics (Google Analytics, Power BI, etc.) for decision-making. - Languages: Strong communication skills in both English and Vietnamese. - Priorities (not a must-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 Personal Skills - 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.
Insurance & Salary - 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 Development & Training - 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 Extra Activities - Office happy hours, Teambuilding, Company trip, Wedding, Birthday, … - Sport clubs: soccer, badminton, games, …
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