• Work with greenfield accounts, and service team leaders to shape new manufacturing solutions, business models, and partnerships to support the assigned industry strategy. • Monitor/evaluate industry trends and customer needs to develop business opportunities and identify potential projects. • Develop/implement sales strategies, processes, and best practices across the company.

1. Strategic Planning & Design Management Contribute in developing comprehensive 6-8 months network implementation roadmaps aligned with AWS DC expansion targets Create and optimize network position layouts and rack placement strategies for data centre floor space utilization Review and contribute to High-Level Design (HLD) documentation Coordinate with engineering teams to validate technical requirements and design specifications Develop capacity planning models to ensure infrastructure scalability Create standardized planning templates and methodologies for network implementations 2. Project & Resource Management Lead end-to-end project planning for multiple concurrent network implementation initiatives Develop and maintain detailed project schedules, milestones, and dependencies Manage project scope, and quality parameters Conduct risk assessments and develop mitigation strategies Improvise and optimize planning by incorporating lessons learnt of latest deployed projects, iteratively. Coordinate across cross-functional teams to ensure alignment on project deliverables Track and report weekly project progress and/or otherwise informed to key stakeholders 3. Supply Chain & Inventory Planning Develop project inventory forecasts and requirements Optimize developed counts by utilizing prior surplus spares. Coordinate with procurement teams for strategic resource acquisition Manage vendor relationships and delivery schedules Establish and stick to procurement timelines aligned with project schedules 4. Program Governance & Process Excellence Establish and maintain project management frameworks and best practices Develop sustainable and repeatable planning processes Create and maintain project documentation and reporting standards Drive continuous improvement initiatives in planning methodologies Build and maintain stakeholder communication channels Coordinate with regional teams for standardized planning approaches and optimized lesson learnt based iterative optimized planning.

We are looking for a passionate, innovative and results-driven strategic brand growth manager, with key account management experience to support top China-based selling partners and emerging CN brands to maximize their presence and business in Amazon Mexico. This role will collaborate with other existing Seller management team, product team and destination marketplace team to manage CN Sellers' end-to-end journey in catching the growth opportunity in Mexico, utilize Amazon's suite of products/services to deliver new business growth and maximize revenue generation for them. Meanwhile, this role should take initiative to find out business blockers or improvement area, as well as work with Amazon internal teams to move them so as to continually improve sellers’ experience on Amazon. You should have a track record of strategic accounts or Key accounts management, with a demonstrated ability to think strategically about business, product and technical challenges, along with the ability to come up with original approaches and operational improvements. Candidates should be comfortable both in a self-sufficient role, as well as one of team support and interaction. Ownership is extremely important. Your superior communication, organizational and inside sales skills, will enable you to operate in a fast-moving and sometimes ambiguous environment, where you will have the responsibility for achieving our business objectives. This role provides ample opportunity to develop original ideas, approaches, and solutions in a competitive and fast-moving environment. Core Responsibility: • Own the strategy and direction of team to Identify, qualify, and engage with Amazon existing sellers for the Amazon Business- Marketplace while creating a clear value proposition of selling to business customers on Amazon, along with the features and functionality. • Meet or exceed quotas, revenue targets, and operational metrics. • Analyze the business and conduct deep dive analysis; provide routine executive-level reporting on the Seller’s current business and future opportunities. Publish recommendations and action plans based on data. • Hire and develop the best, as well as assist internal partners to drive change, remove roadblocks, and close business. • Advocate on behalf of Sellers and other external stakeholders to influence product roadmap

1. Seller Acquisition & Recruitment Develop and execute strategies to identify, attract, and onboard high-quality CN sellers to the Amazon Mexico. Build a robust pipeline of prospective sellers through outreach, networking, and partnership initiatives. 2. Seller Launch & Onboarding Support ("Cold Start") Provide dedicated, hands-on support to new sellers during their critical launch phase to ensure a successful "cold start" on the platform. Guide sellers through account setup, catalog creation, and the implementation of best practices for listing, pricing, and fulfillment. 3. Seller Growth & Performance Management Proactively identify and remove blockers (logistical, operational, knowledge-based) that hinder seller growth and performance. Analyze seller metrics and data to provide tailored advice and interventions that accelerate sales velocity and account health. Empower sellers to scale their businesses by educating them on Mexico specific customer preferences, promotional tools, and inventory management. 4. Relationship & Account Management Build and maintain strong, trust-based relationships with a portfolio of Chinese sellers. Act as the primary point of contact and advocate for sellers, ensuring a positive experience with Amazon Mexico.

AI Agent Engineering • Design, develop, and deploy production-grade AI agent systems, including multi-agent orchestration, tool-use frameworks, memory management, and API integration — ensuring reliability, scalability, and maintainability • Build and optimize Retrieval-Augmented Generation (RAG) pipelines: document ingestion, chunking strategy, embedding, vector search, and re-ranking to maximize LLM grounding quality • Support LLM adaptation to WWGS business domains through prompt engineering, context injection, fine-tuning signal curation, and systematic prompt evaluation frameworks • Develop automated knowledge base construction and real-time data access capabilities (Data Agent, MCP server/client) to connect AI agents with live business data • Design and implement LLM evaluation pipelines to systematically assess agent output quality, hallucination risk, and business impact Data Engineering • Design and implement end-to-end data pipelines (batch and streaming) for data collection, transformation, and storage — supporting both AI application and analytics use cases • Build and maintain integration layer data models that serve as a unified, AI-ready data foundation across WWGS domains • Develop automated data quality monitoring, alerting, and observability tooling to ensure pipeline reliability and data trustworthiness • Integrate multi-source data (seller behavior, transaction logs, off-platform signals, AI outputs) into a coherent, governed data layer • Establish data standardization and governance policies ensuring consistency, accuracy, and compliance across AI and BI consumption layers Technical Leadership • Provide technical guidance on AI-data architecture decisions; define best practices for the team's AI agent and data engineering stack • Collaborate cross-functionally with Product, Operations, and Science teams to translate business requirements into scalable technical solutions • Mentor junior engineers and conduct design reviews; raise the technical bar across the team

- Analyze origin operations workflows (booking, customs, documentation, exceptions) to identify inefficiencies and automation opportunities. - Support rollout of AI and automation solutions across ops teams: gather requirements, coordinate pilots, and drive adoption. - Curate and maintain SOPs and knowledge base content so AI tools return accurate, up-to-date answers. - Track performance metrics (accuracy, cycle time, hours saved) and prepare simple dashboards and reports.

1. Handling assigned daily tasks according to process map and SOP, manage and handle exceptions in daily work. Use knowledge and skills to meet assigned goals and SLA. 2. Collaborating with origin and destination teams to solve issues/requests to secure selling partners' experience. 3. Handling problems with minimal visible risks or roadblocks, troubleshooting problem with no existing procedure or SOP with LSPs; evaluating compliance risks and escalates roadblocks. 4. Connect with customer with excellent communication skill and identify customers’ needs through daily contact for service development. 5. Working on standardization and Kaizen among internal function partners to improve operation efficiency and service quality. 6. Act as the team process expert to co-work with stakeholders on process improvement and UAT Test for new features. 7. Taking additional duties assigned by leadership as business related services and operation scope continue to expand. 8. Support new initiatives and new program to drive operational excellence in terms of speed and cost, service quality.

1. Handling assigned daily tasks according to process map and SOP, manage and handle exceptions in daily work. Use knowledge and skills to meet assigned goals and SLA. 2. Collaborating with origin and destination teams to solve issues/requests to secure selling partners' experience. 3. Handling problems with minimal visible risks or roadblocks, troubleshooting problem with no existing procedure or SOP with LSPs; evaluating compliance risks and escalates roadblocks. 4. Connect with customer with excellent communication skill and identify customers’ needs through daily contact for service development. 5. Working on standardization and Kaizen among internal function partners to improve operation efficiency and service quality. 6. Act as the team process expert to co-work with stakeholders on process improvement and UAT Test for new features. 7. Taking additional duties assigned by leadership as business related services and operation scope continue to expand. 8. Support new initiatives and new program to drive operational excellence in terms of speed and cost, service quality.