Prepare clear briefs, updates, research notes, meeting follow-ups and action trackers. Work across product, engineering, finance, legal, compliance, operations and country teams.
Identify execution gaps and push teams to close them.
Own urgent business problems that do not fit neatly into one department.
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Assist in the development and enhancement of AI-powered chatbots using GCP services such as Dialogflow, Vertex AI, Firestore or other relevant platforms
Involve in Retrieval-Augmented Generation (RAG) techniques to improve chatbot relevance using enterprise documents. Participate in testing and refining chatbot performance to ensure accuracy and user satisfaction
Research and explore the concepts and applications of Agentic AI, focusing on how it can be implemented using GCP tools and services (e.g., Vertex AI Agents, custom models
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E-Commerce & Website Operations: Maintain and update product listings, stock counts, campaign banners, and pricing on Shopee, Lazada, and our official website.
Paid Advertising: Set up, monitor, and optimize paid ad campaigns (Meta Ads, TikTok Ads) to achieve maximum ROI and drive conversions.
Proven experience in Digital Marketing, Social Media Management, or a related role.
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Interface & steer cross-functional team engagements across Business Units, Central Engineering, Operations, Quality, Supply Chain and Procurement to meet department objectives
Drive DFM, technology & manufacturability readiness for new package & complex derivative platforms for effective POR freeze to new product industrialization
Partner with OSATs to deliver assembly readiness for new product qualification. Key activities include process flow & BOM setup, risk analysis & mitigation, process characterization, lookahead assessment, qualification and CAB preparation leading to first part release
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Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
Prompt Engineering & Evaluation: Design, optimize, and evaluate prompts to improve AI behavior, reasoning, and response quality.
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Conduct technical design reviews, supervise development delivery, and enforce standards for code quality, system performance, and data security compliance.
Work full-time on-site in Riyadh; lead daily technical syncs with end clients and the platform engineering team, host Sprint Reviews and design evaluation meetings.
Proactively identify technical risks including cross-system integration, cross-lingual NLP compliance, and local data privacy regulations, and propose mitigation roadmaps.
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