亚马逊Sr. Seller Consultant, Haul

1. Manage a group of managers to invent for customer experience and simplify for operation efficiency. 2. Coach, and develop the team with prioritization, constructive feedback, resources planning, and data driven decisions. 3. Guide the team towards continuous improvements using data, metrics, and customer feedback. 4. Develop operations process to achieve business goals and to obsess the customer. 5. Manage complex operational issues by developing, tracking and analyzing key performance indicators. 6. Provide regular performance metrics report focusing on operational excellence and customer experience. 7. Build strong and collaborative relationships with internal stakeholders, LSP, Carriers and external customers. 8. Serve as primary interface with other teams in Seller Operations, Product, Finance and Tech for new product, program, and system launches. 9. Be the Voice of the Customer and provide feedback to the team to improve customer experience. 10. Handle complex problems/efforts, decisions, and escalations. 11. Communicate and drives strategic initiatives. 12. Ensure the right people are in the right job and creates leadership opportunities.

Technical Development & Architecture * Design and implement scalable AI/ML solutions for Compliance use cases * Lead the development of efficient ML models and end‑to‑end data processing pipelines from ingestion to serving. * Build robust, production-grade AI services using Python and modern ML frameworks. * Make and document sound architectural decisions, ensuring systems are scalable, secure, and cost‑effective. * Establish and maintain high engineering standards, including testing, monitoring, and documentation. Engineering Leadership * Partner closely with data scientists, product managers, and operations teams to deliver end‑to‑end AI/ML solutions. * Define and evolve the technical architecture for AI-powered features and platforms. * Lead code reviews, enforce best practices, and elevate engineering quality across the team. * Continuously improve AI system performance, reliability, and latency through experimentation and optimization. Technical Collaboration & Operations * Work with cross‑functional partners to understand requirements, refine scope, and prioritize technical work. * Provide technical guidance and mentorship to junior and mid‑level engineers. * Collaborate with platform and DevOps teams to ensure smooth deployment, monitoring, and maintenance of AI systems. * Implement and evolve ML Ops practices (e.g., CI/CD for models, feature stores, model monitoring, and retraining workflows).

Product Strategy & Development * Own the product vision, strategy, and roadmap for AI-powered Seller Education experiences. * Identify and prioritize learning opportunities across the seller lifecycle (e.g., onboarding, growth, compliance, optimization). * Design and launch AI solutions (e.g., adaptive learning, content recommendation, conversational tutors) that improve learning outcomes and engagement. * Drive measurable improvements in Seller learning efficiency, satisfaction, and business impact. * Lead continuous product improvement using experiments, data insights, and qualitative feedback from Sellers and stakeholders. Technical Leadership * Partner with data science and engineering teams to design, build, and scale AI/ML and LLM-based learning features. * Define clear technical requirements, success metrics, and guardrails for AI-powered education workflows. * Oversee end‑to‑end product development cycles, from discovery and design through implementation and launch. * Promote data-informed decision making and experimentation across all product initiatives. Stakeholder & Program Management * Lead cross‑functional collaboration between product, program, tech, content, marketing, and operations teams. * Communicate product strategy, roadmap, and results to senior leadership, highlighting trade‑offs and impact. * Drive alignment and change management across CN and global teams to scale adoption of AI‑powered learning solutions. * Influence internal and external partners to co‑create high‑quality, localized, and relevant learning experiences for Sellers.

Product Strategy & Development - Own the product vision, strategy, and roadmap for AI products in compliance domains - Identify and prioritize high‑impact opportunities - Design and launch AI-powered solutions that reduce friction and improve Seller experience - Drive measurable improvements in efficiency, automation, and decision quality - Lead continuous product optimization using experimentation, data insights, and user feedback. Technical Leadership - Partner with data science and engineering teams to design, build, and scale AI/ML and LLM-based solutions. - Define clear technical requirements, success metrics, and guardrails for AI-powered features and workflows. - Oversee end‑to‑end execution cycles, ensuring on‑time delivery, reliability, and strong business outcomes. - Champion data‑informed decision making across product initiatives, leveraging experimentation and A/B testing where appropriate. Stakeholder Management - Lead cross‑functional collaboration between central product/program teams, tech teams, operations, legal/compliance, and external partners. - Communicate product strategy, roadmap, and impact clearly to senior leadership, including trade‑offs and decision rationale. - Drive alignment and change management across CN and global teams, ensuring scalable adoption of AI solutions. - Influence stakeholders at multiple levels to remove roadblocks and accelerate delivery.