Top Tech Jobs & Startup Jobs

Lead generative AI and agentic application projects from requirements through deployment, adoption, and continuous improvement. Translate business needs into technical requirements, manage plans, milestones, risks, dependencies, testing, launches, and stakeholder communications. Partner with AI engineers and cross-functional teams to identify workflow opportunities, establish AI guardrails and human oversight, and deliver secure, scalable solutions. Support enterprise application and system-integration initiatives while ensuring measurable business value.

Manage manufacturing projects across NPI phases, coordinate departments and factories, support customer audits and visits, optimize production processes and manufacturing costs, and lead continuous improvement initiatives for key-account products.

Lead ARM-based RISC computing platform projects from product planning through NPI execution and lifecycle management. Manage scope, schedules, costs, quality, and cost-reduction initiatives while coordinating R&D, manufacturing, suppliers, customers, and regional offices. Conduct regular English-language meetings and drive cross-functional teams to deliver embedded systems, modules, and single-board computers for industrial automation, Edge AI, IoT, and smart applications.

Manage industrial server products throughout their lifecycle, from NPI requirements and cross-functional development through mass production and discontinuation. Coordinate engineering, marketing, quality, manufacturing, sales, regional business units, and customers while managing schedules, costs, risks, sustaining support, product collateral, and market feedback.

Leads digital transformation initiatives across Salesforce CRM, CDP, MCE, Service Cloud, and Data Cloud. Builds Power BI dashboards, analyzes user behavior, conversion rates, and customer lifetime value, and improves data integration, identity resolution, and segmentation. Manages Salesforce operations, defines tracking and integration standards, leads optimization projects, and translates business requirements into technical specifications while coordinating engineering, marketing, and sales teams.

Develops rack-level management and monitoring software for x86 servers and AI infrastructure. Responsibilities include scalable platform design, MCU firmware development, Embedded Linux BSP, kernel and device driver development, Linux system integration, troubleshooting, and collaboration with hardware, testing, and product teams using Agile and CI/CD practices.

Provides pre-sales and post-sales technical support for server and embedded products. Responsibilities include technical documentation, system integration, software drivers and firmware, troubleshooting, cross-functional issue resolution, product testing and validation, customer training, technology transfer, and product promotion. The role may require short-term travel and expertise in embedded systems, software development, machine learning frameworks, and deployment on GPU, NPU, and FPGA accelerators.

Own end-to-end delivery of autonomous AI agents and applications for knowledge management, technical support, and product R&D. Define scope and requirements, plan execution, manage stakeholders, partner closely with engineers, coordinate testing and deployment, and drive user adoption. Help build a shared AI-agent platform and reusable skills ecosystem, establish guardrails for autonomous workflows, and support broader IT initiatives including CI/CD, Salesforce, and API integrations.

Lead and manage ODM AIoT/embedded system product projects from specification through end-of-life. Define requirements, track schedules and budgets, mitigate risks, align customer and internal teams, run meetings, and ensure product functionality and quality.

Lead S&OP meetings, global demand forecasting, inventory planning, fulfillment optimization, and supply chain KPI management. Collaborate with headquarters and global business units on digital transformation and automation initiatives. Use data analytics and ERP technologies to identify trends, mitigate risks, improve operational efficiency, and support cross-functional project execution and revenue goals.