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About the Company This opportunity is with a fast-growing, restaurant SaaS leader that has become one of the most influential technology partners for Asian-focused hospitality brands across North America. Since inception, the company has built a comprehensive suite of self-developed products, including POS, ordering, membership, and kitchen display systems, designed specifically to solve operational pain points for modern restaurants. Its platform delivers measurable efficiency gains through real-time menu synchronization, intelligent KDS workflows, and low-commission direct ordering tools that dramatically increase on-channel revenue and customer lifetime value. With more than 9,000 restaurants served across all 50 U.S. states, multiple R&D centers across the U.S. and China, significant funding, and recognition from top-tier investors, the company continues to scale rapidly while maintaining a reputation for innovation, bilingual support, and deep industry expertise. Role Overview As Director of Product, Payments, you will own the end-to-end payments strategy and execution across platform partnerships, clearing & settlement, reconciliation, risk & compliance, funds flow/ledger, and cost optimization. You will align payment platform capabilities with restaurant POS needs, ensure reliable money movement, and deliver measurable improvements in authorization, transparency, and unit economics. What you'll focus on: Payment Platform Integrations: Lead collaboration and integrations with payment platforms to deliver a reliable, scalable payment experience. Clearing & Settlement: Define payout and settlement standards while driving clear, merchant-facing transparency. Financial Reconciliation: Empower reconciliation processes to support accurate closes and audit readiness. Fraud & Compliance: Establish a robust risk and compliance framework—including PCI/EMV baselines—to reduce exposure and maintain audit-ready operations. Funds Flow & Ledger Platform: Build a high-integrity funds-flow and ledger foundation to support splits, balances, fees, and reporting. Cost Optimization: Improve authorization rates and reduce blended costs through policy, routing, and optimization strategies. What you bring: 6+ years in payments, fintech, or retail product; 3+ years leading PMs. Restaurant/POS experience is a plus. Strong understanding of acquiring, gateway, clearing, settlement, and card-scheme rules; familiarity with PCI/EMV security baselines. Proven ability to define and execute product strategy, align with company goals, and drive market research, competitive analysis, and customer insights. Experience integrating with payment platforms such as Stripe or Adyen is a plus. Highly data-driven execution and strong cross-functional leadership. Exceptional communication and presentation skills; able to convey complex concepts to both technical teams and executives. Fluent English; Mandarin proficiency is a must

Job Title: Algorithm Engineer – Recommendation Systems About the Role: We’re seeking a skilled Algorithm Engineer to develop next-generation recommendation systems for a high-traffic gaming platform. You’ll design algorithms that personalize content, boost engagement, and optimize conversion across feeds, search, channels, and in-game experiences. Key Responsibilities: Build and optimize recall, ranking, and re-ranking models for personalized recommendations. Analyze user behavior, preferences, and content metadata to create robust user and content profiles. Collaborate with product, engineering, and analytics teams to turn business requirements into scalable solutions. Leverage large-scale real-time and offline data for modeling, similarity computations, and conversion analysis. Explore multi-modal data (text, image, video) to enhance recommendation diversity and personalization. Requirements: Bachelor’s or higher in CS, Math, Statistics, or related field. 3+ years of experience in recommendation systems or algorithm development. Strong grasp of collaborative filtering, embeddings, sequence modeling, and ranking strategies. Solid analytical, problem-solving, and teamwork skills. Experience with cloud AI platforms or recommendation engineering is a plus. Why Join Us: Work on cutting-edge recommendation tech for a growing gaming platform. Collaborate with a passionate, cross-functional team. Opportunity to experiment with multi-modal AI and state-of-the-art algorithms.

Job Responsibilities: Implement AI applications according to requirements, including large model calls, API development, and data processing. Build an enterprise knowledge base (data cleaning, embedding, vector retrieval). Use vector databases (Milvus/Qdrant/FAISS, etc.) to complete indexing, retrieval, and debugging. Write scripts, DAG processes, MCP tool plugins, and perform other basic engineering work. Job Requirements: Proficient in Python with basic backend development skills. Experience using at least one large model API; RAG/knowledge base experience is preferred. Familiar with either a vector library or an Agent framework. Experience in AI application implementation or a strong interest in large models; strong hands-on skills. Basic knowledge of algorithms and NLP/ML. Experience Requirements: 3+ years of experience in AI-related fields; mathematics, computer science, or related majors preferred. Has practical experience in implementing large-scale enterprise-level models.