特斯拉Sr.Product Engineer, Ecommerce
任职要求
• Must have experience of driving market expansion and execution of eShop features to accelerate budget growth. • 5-10 years' IT application project delivery and operation experience in automotive sales and delivery domain. Experience in customer facing applications on PC/Mobile, and Social/CRM applications. • 5+ years' product management experience managing consumer-facing software programs and/or embedded systems. • Experience in building eCommerce process, including but not limited to browsing and ordering process, product management, pricing and inventory and fulfillment process. Solid understanding of e2e eCommerce products and processes. • Demonstrated strong organizational and delegation abilities, with a proven track record of managing product roadmaps and delivery timelines e…
工作职责
The Role As a Senior Product Manager of e-shop applications, you will lead the product strategy and execution for Tesla’s e-Shop applications, driving improvements in sales enablement, customer experience, system integration and backend infrastructure. As the key IT product owner, you will design and deliver advanced e-shop features that support sales growth, all while maintaining the speed and agility that defines Tesla. Responsibilities • Enhance existing features and design new functionalities to drive application capabilities that support sales growth and business expansion. • Work with US IT team to implement global rollout to China with local gap prioritized. • Collaborate with UI/UX designers to enhance the frontend interface and revamp the overall customer shopping experience. • Collaborate with the software engineering team to ensure end-to-end delivery of multiple projects within scope and on schedule. • Leverage AI capabilities to improve e-shop customer engagement and personalized experience • Develop internal tools that empower cross-functional teams’ (e.g., Order Ops, Finance) self-serve business operation and reduce reliance on engineering resources • Keep tracking and analyzing key performance metrics—including conversion rate, bounce rate, product return rate, and cart abandonment—and drive data-informed improvements
• Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available. • Apply Statistical and Machine Learning methods to specific business problems and data. • Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. • Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions. • Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds. • Develop efficient data querying and modeling infrastructure. • Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time. • Utilizing code (SQL, Python, R, etc.) for analyzing data and building statistical models.
· Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available. · Apply Statistical and Machine Learning methods to specific business problems and data. · Create global standard metrics across regions and perform benchmark analysis. · Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. · Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions. · Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds. · Develop efficient data querying and modeling infrastructure. · Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time. · Utilizing code (SQL, Python, R, etc.) for analyzing data and building statistical models.
1、负责MA系统与 CRM 的集成，设计基于客户生命周期的自动化触达及培育路径； 2、设计MA系统的功能及应用场景，包括不限于内容、活动、推送等功能的优化； 3、设计客户分群与标签体系，与MA系统功能关联，优化销售全链路的数字化体验； 4、主导 AI 技术在销售场景的创新落地，例如智能讲解答疑、线上化销售体验等； 5、其他基于销售场景的业务需求落地和创新方向探索；
Responsibilities： Product Planning & Design: Responsible for the overall planning and design of software products in the supplier collaboration and management (SRM) domain. Develop product roadmaps, ensuring product functionalities meet internal customer needs and business objectives. Requirements Analysis & Management: Conduct in-depth research on current business scenarios related to supplier collaboration, including but not limited to supplier sourcing, registration, supplier development process management, supplier quality management, evaluation, and claims. Collect and analyze user requirements, write Product Requirements Documents (PRDs), and coordinate resources to ensure successful implementation of requirements. Project Advancement & Coordination: Develop project plans, track project progress, promptly resolve issues that arise during projects, and ensure timely and high-quality product delivery. Product Optimization & Iteration: Monitor user feedback and relevant data after product launch, continuously optimize product features and performance, enhance user experience, and drive product iteration and upgrades. Market Research & Competitor Analysis: Conduct regular market research, analyze industry-related products, discern industry trends, and provide a decision-making basis for product innovation and optimization. Cross-departmental/Team Collaboration & Communication: Collaborate with business, development, algorithm (AI/data science), and operations teams to ensure a clear understanding of product planning and align team goals.