理想汽车Technology Project Manager
任职要求
Education/Experience · Master’s degree or higher in Computer Science, Electrical Engineering, or related fields, with a focus on AI/ML, autonomous systems, or industrial automation. · 7-10 years of hands-on experience in AI development (reinforcement learning, NLP/CV pipelines) and automotive aftermarket operations (diagnostics, supply chain collaboration). · Proven success in managing technical vendor partnerships and delivering industrial AI solutions from concept to production. Knowledge · Deep knowledge of federated learning frameworks, …
工作职责
· Lead the end-to-end development and deployment of AI-powered after-sales agent solutions for vehicle series L & i, ensuring coverage of after-sales scenarios across all user vehicles. · Identify, evaluate, and conduct on-site technical due diligence for AI Agent vendors in Silicon Valley, negotiate and finalize technology procurement contracts aligned with development requirements. · Oversee external vendors to ensure timely delivery of core Agent functionalities (e.g., multimodal interaction, self-evolving inference engines) · Drive North America-localized data training pipelines to enable cross-scenario migration capabilities for adaptive decision-making. · Attend key industry summits to identify emerging industrial AI technologies, document technical innovations, and deliver monthly cutting-edge technology briefings.
• Be a subject matter expert on databases, particularly on Relational Databases, able to discuss with customer on database modelling, migration, performance testing and day to day operations • Have wide ranging experience with open source and commercial databases such as MySQL, PostgreSQL, Oracle & SQL Server…etc • Be familiar with major cloud service providers in using it for deployment of workloads (AWS, Alicloud, GCP, Azure…etc) • Be a technical expert on all aspects of OceanBase (compatibility assessment, deployment, administration, development, migration…etc) • Facilitate introduction, discussion and demonstration of OceanBase’s technology, vision and value proposition either via individual or group sessions with customers • Engage and discover prospects’ pain points, business/technical challenges and identify how OceanBase can add value • Run Proof of Concept projects with customers to validate OceanBase’s capabilities Support post sale OceanBase implementation with OceanBase delivery team • Maintain deep understanding of competitive as well as complementary technologies and how to position OceanBase DB in relation to them • Provide guidance on how to resolve customer-specific technical challenges • Collaborate with Product Management, Engineering, and Marketing to continuously improve OceanBase product and position in the market
We are aiming to leverage AI and other leading technology and dedicated to provide safe and reliable risk control capabilities behind payments. The core technologies include rule engines, model engines, intelligent algorithm models, etc., We are the leading platform with capabilities of high concurrent real-time risk calculations and massive big data analysis and processing. And as the core risk management tech platform for global payment business, we adopt a multi-center deployment architecture around the world. Here you may have the opportunity to learn more about and participate in the design and development of the following aspects: 1. Ultimate computing optimization at the millisecond level. 2. Behavior analysis and risk mining under massive data. 3. Global multi-center system architecture planning and high-availability solution design. 4. Participated in the design of R&D of risk control systems and big data platforms. You will also have the opportunity to explore the architectural design and implementation of cutting-edge technologies such as privacy computing and large models in risk control systems.
1.Partnership Management: Manage and maintain Trip.com’s relationships with OTA partners, Resellers and Metasearches. Optimize distirbution policies and strategy to enhance the sales goal of the company. 2.Business Negotiations: Lead the team handling business negotiations with OTA partners, Resellers and Metasearches including procurement, formulation of operational rules, implementation of cooperation plans, and maintaining customer relationships. Ensure team's KPI & OKR indicators proceed smoothly. 3.Cross-Department Collaboration: Assist the company's finance, product, technology, and service teams in streamlining processes with clients and facilitating communication. Ensure a full-cycle integration in product distribution, operational service system construction, and financial processes. 4.Data Analysis: Conduct in-depth analysis of operational data from partners on a regular basis. Provide accurate data support to the company and clients to help formulate and adjust operational strategies. 5.Performance Tracking and Strategy Adjustment: Monitor and review the effectiveness of partnerships, and adjust cooperation strategies in a timely manner to respond to market changes and customer needs.
Develop and execute traffic acquisition strategies to increase website visits and user conversion rates. Analyze traffic data to identify trends and opportunities, optimizing operational strategies accordingly. Collaborate closely with marketing, product, and technology teams to drive cross-departmental traffic growth projects. Manage and optimize online advertising campaigns, including SEM, SEO, social media, and display ads. Develop A/B testing plans and make optimization adjustments based on test results. Monitor and report on key traffic metrics, providing regular analysis reports and improvement suggestions.