商汤AI Product Manager – B2C

• 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 excellence and cross-team alignment.

The Fintech Client Solutions position is an individual responsible for business development, client relationship management and solution implementation empowered by AI and Blockchain technology in the fund management domain of foreign exchange and B2B/B2C payment. As a key member of Solution Architect team, he or she will work closely with cross-functional teams to understand clients’ business needs, identify tech-based products/services, and ensure the successful delivery of high-quality fund related products and services. Responsibilities: 1.Conduct in-depth analysis of client fund related processes, objectives, and challenges to develop innovative and effective solutions 2.Identify potential clients, make the pitch, maintain client relationships and implement the solution using industry-leading AI and blockchain technologies 3. Work closely with clients and internal stakeholders to define products and services requirements, scope, and functionality 4. Configure the system set-up and parameters according to clients’ needs from time to time 5. Assis in managing the architecture and designing of economy model of new products and services. 6. Collaborate with internal and external teams to ensure seamless integration of products and services 7. Overview product testing, validation, and optimization to ensure high performance, scalability, and security 8. Stay up-to-date with emerging technologies and trends to identify opportunities for innovation and improvement

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.

Product Localization Optimization for Japan MarketGain deep insights into Japanese enterprise users’ work habits, communication styles, and business scenarios.Lead the localization and optimization of DingTalk’s core products (including collaboration and communication modules) for the Japanese market.Ensure functional logic, interface design, workflow, and copywriting are fully aligned with Japanese user preferences to deliver a seamless, localized user experience and enhance satisfaction and adoption. B2B AI Experience Design (E-commerce & Cross-border Scenarios)Own the AI-related product experience for DingTalk’s B2B business in Japan’s e-commerce and cross-border e-commerce sectors.Conduct in-depth research on key industry pain points (e.g., supply chain collaboration, customer service efficiency, data analytics needs) and cross-border challenges (e.g., multilingual communication, international logistics tracking, multi-currency settlement).Design AI-powered product solutions leveraging DingTalk’s AI capabilities (e.g., AI Sheets, intelligent assistants, analytics models) and drive implementation in real business scenarios. Product Requirement & Iteration ManagementCollect and analyze AI product requirements from Japanese e-commerce clients.Define priorities, manage the product roadmap, and coordinate with R&D and algorithm teams to deliver product functions as planned.Monitor key usage metrics post-launch, gather user feedback, and iterate to continuously improve product value in target use cases. Cross-team Collaboration & Localization ExecutionWork closely with DingTalk HQ’s product, engineering, and marketing teams to communicate Japan-specific needs and localization goals.Ensure proper resource allocation from HQ for Japan’s AI business.Collaborate with local Japan sales and support teams to collect frontline feedback, validate localization effectiveness, and promote product adoption across Japanese enterprises. AI Product Trends & Competitor AnalysisStay updated on AI-era product paradigms, including large language models, generative AI, and intelligent automation.Regularly analyze competing AI-driven B2B products and collaboration tools in the Japanese market.Provide insights and direction for innovation and continuous improvement of DingTalk’s localized AI products in Japan. 日本市場向けプロダクトの最適化 ○ 日本企業ユーザーの業務習慣、コミュニケーションスタイル、ビジネスシーンを深く理解し、DingTalk のコアプロダクト（コラボレーション・コミュニケーションなど）の日本向け最適化を推進。 ○ UI設計、操作フロー、文言表現などの細部まで、日本ユーザーの使用感に合うよう改善し、製品の受容度・満足度を向上。 AIプロダクト体験設計（EC・越境EC領域） ○ 日本のEC・越境EC業界の課題（サプライチェーン連携、顧客対応、データ活用など）をリサーチし、AI機能（AIスプレッドシート、チャットボット、データ分析モデル等）を活用した最適なソリューションを企画。 ○ AI技術をビジネスの現場で活かす体験設計を行う。 製品要件管理・改善推進 ○ 日本市場の顧客ニーズを収集・分析し、開発チームと連携して要件定義、優先順位付け、機能リリースを推進。 ○ リリース後は利用データやユーザーフィードバックをもとに改善を継続し、より良い体験を提供。 クロスチーム連携と現地推進 ○ 本社のプロダクト・技術・マーケティングチームと密に連携し、日本市場の要望を正確に伝達。 ○ 日本現地の営業・サポートチームと協力し、ユーザーの声を反映しながらプロダクトの浸透を図り。 AIトレンド・競合分析 ○ 生成AIや大規模言語モデルなど最新技術の動向を継続的にウォッチし、日本市場における競合サービスを調査・分析。 ○ 自社製品の改善・差別化に活かし。