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；
作为特斯拉服务核心产品经理，你将与特斯拉售后服务团队紧密合作，负责售后核心产品规划和设计。 该职位要求你对业务流程和运营有深入的理解，你需要具备复杂问题分析能力和解决能力，能够与不同利益相关方协作，推动跨职能团队达成共同目标。 岗位职责： • 作为业务团队合作伙伴，理解业务痛点并收集IT需求。 • 制定并管理IT项目计划，协调多方资源，确保项目按时交付。 • 与全球产品经理、软件工程师和测试工程师紧密合作，积极应对不断变化的需求和不确定性。 • 跨团队协作中，与高级管理层及时沟通，汇报关键进展并完成项目更新。