AMDAI Product performance Engineer

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•Own the strategy, roadmap, and delivery of B2C AI-powered software products with a strong focus on user value and business impact. •Define product goals and success metrics aligned with company’s focused local strategy and ensure execution through effective planning and cross-functional collaboration. •Work closely with R&D teams to translate high-level product vision into clear, technically feasible development plans. •Drive product prioritization based on business value, technical complexity, and user impact. •Continuously analyze user data, market trends, and competitive landscape to identify new opportunities and areas for product evolution. •Manage the end-to-end product lifecycle, including launch strategies, performance tracking, and iteration based on feedback and analytics. •Collaborate with stakeholders across engineering, business, operations, and compliance to ensure delivery excell

Key Responsibilities• Lead the product and platform strategy for Researcher, Declarative Agent (DA), and GPT-5, ensuring robust, scalable, and reliable AI-powered features on mainline BizChat. • Drive deep technical and scenario-based analyses to enhance AI feature quality and relevance for global markets, with a focus on business productivity solutions. • Collaborate with science and engineering teams to build and optimize machine learning infrastructures, improving model quality, performance, and user experience. • Engage directly with customers and key partners to gather requirements, prioritize features, and foster trusted relationships across internal and external stakeholders. • Manage complex projects with clear timelines and deliverables, ensuring alignment with Microsoft’s strategic objectives for BizChat and enterprise AI solutions. • Mentor and guide cross-functional teams, promoting best practices in product management and AI development.

About the Role We are looking for an AI Product Specialist/ Manager to join our Marketing Product team and drive the application of AI technologies across Trip.com’s global marketing ecosystem. This role focuses on identifying AI innovation opportunities, supporting key external AI partnerships, and driving the integration of advanced AI capabilities (e.g., agentic booking, AI content collaboration) into our marketing products and workflows. This is an excellent role for someone who is curious, proactive, passionate about AI, and eager to grow into a more senior AI product role. 1. AI-driven Marketing Product Innovation - Monitor the latest AI trends, LLM advancements, and industry applications, translating them into feasible marketing product opportunities. - Identify and evaluate AI-driven improvement areas across ad creatives, marketing automation, landing pages, content generation, QA workflows, and performance optimization. - Work with product managers and engineers to prototype, test, and launch AI features in marketing products. 2. External AI Partnerships & Collaboration - Support key AI collaboration initiatives with global partners (e.g., Google, Meta, OpenAI, TikTok, etc.). - Assist in driving strategic projects including: - Google Agentic Booking integration - AI-driven content collaboration with media partners - AI-powered search, recommendations, or marketing workflow enhancements - Coordinate alignment between internal product/engineering teams and external partner teams, ensuring smooth project execution. 3. AI-enabled Content & Campaign Efficiency - Work with marketing channels to explore AI use cases improving creative production (image, video, ad copy). - Contribute to building scalable workflows for multi-language AI content generation, localization, and quality control. - Partner with the QA team to develop AI-assisted review mechanisms and evaluation frameworks. 4. Cross-functional Collaboration - Collaborate closely with marketing, product, engineering, localization, and design teams. - Support project documentation, communication, and rollout for internal stakeholders. - Help ensure alignment between marketing needs and AI product capabilities.