Top Tech Jobs & Startup Jobs

Leads global datacenter growth programs from initial opportunity through design-in, qualification, award, and production ramp. Coordinates Sales, Product, Engineering, Operations, Quality, Finance, and SIOP teams across multiple regions. Establishes program cadence, milestones, accountability, forecasting, and pipeline visibility; manages budgets, risks, barriers, and executive reporting. Drives strategic business opportunities and cross-functional execution while influencing stakeholders without direct authority.

Owns product lifecycle execution for advanced power conversion solutions, coordinating engineering, manufacturing, quality, supply chain, contract manufacturers, and product launches. Responsibilities include maintaining development roadmaps, supporting product improvements and manufacturing scale-up, resolving production and quality issues, managing component obsolescence, ensuring compliance with relevant standards, training sales teams, refining product positioning, and serving as the internal product subject matter expert.

Leads manufacturing process transformation by designing and improving production methods, coordinating new product releases, estimating costs and time standards, recommending tooling, maintaining operational records, and advising on fabrication, machining, assembly, welding, plastics processing, and material handling processes.

Leads operations research and data science initiatives across supply chain, procurement, and engineering. Develops optimization, forecasting, statistical, and machine learning models for inventory, scheduling, capacity planning, demand, cost, and vendor analytics. Establishes modeling, validation, backtesting, monitoring, and retraining standards; partners with business leaders to drive adoption; and mentors data scientists and AI engineers.

Owns enterprise AI architecture strategy, standards, governance, and multi-year roadmaps. Designs scalable AI ecosystems across data pipelines, models, agents, platforms, integrations, security, observability, and lifecycle management. Leads Azure AI reference architecture, CI/CD, infrastructure-as-code, LLMOps/MLOps, responsible AI controls, architecture reviews, and build-versus-buy decisions. Guides multiple teams, mentors technical leaders, and translates business priorities into secure, production-ready AI solutions across enterprise functions.

Owns AI products for operations, initially focused on supply chain and expanding to procurement, quality, and engineering. Responsibilities include workflow discovery, product requirements, roadmap and backlog prioritization, pilot execution, governance, business-case development, adoption, and realized-value measurement. Partners with operations teams, AI engineers, data scientists, finance, IT, vendors, and senior leadership to move AI solutions from concept through production.

Builds and operates production AI applications for commercial teams. Responsibilities include developing generative AI, agent, machine learning, and RAG solutions; integrating AI with Salesforce, CRM, ERP, pricing, and quoting systems; creating data pipelines and reliable APIs; monitoring model quality, bias, drift, and performance; defining evaluation and release criteria; applying security controls; supporting production solutions; and mentoring engineers.

Builds and deploys production AI solutions for supply chain, procurement, quality, and engineering operations. Develops agents, copilots, RAG solutions, model-driven tools, pipelines, and MLOps/LLMOps workflows integrated with ERP, planning, EDI, and manufacturing systems. Partners with technical and business teams to define use cases, evaluate models, monitor performance, drive adoption, and improve reliability, cost, latency, and explainability. Mentors engineers and contributes to architecture and technical standards.

Designs, develops, deploys, and operates production AI solutions across commercial, engineering, quality, operations, supply chain, and procurement functions. Builds generative AI, agent, copilot, RAG, machine learning, and computer vision applications; integrates them with enterprise systems; and creates data pipelines, MLOps workflows, reusable frameworks, and monitoring practices. Owns solutions from prototype through production, applies security controls, evaluates performance and business impact, collaborates with stakeholders and vendors, and mentors engineers.

The Global Account Manager leads strategic relationships with global OEM customers, manages key accounts, aligns teams to deliver solutions, and drives sales growth.