美团Specialist – Incident Safety Operations

Engage in Senior-level customer meetings to drive AWS AI/ML/GenAI adoption. Diving into customer’s business challenges and executing strategies on how the AWS AI/ML/GenAI services can help address and resolve these challenges. Serve as an evangelist for the AWS AI/ML/GenAI products within AWS and externally. Define, build and deploy enterprise focused sales and business development campaigns around the AWS AI/ML/GenAI offering. -Engage, support and scale business development and sales teams across AWS to be capable of delivering the AWS AI/ML/GenAI value proposition to customers and partners. Develop a standard market intelligence framework and dynamic analytic model to be utilized by the AWS Sales, Business Development and Marketing teams. Bring the various stakeholders together to help build collective mindshare in augmenting the AWS AI/ML/GenAI products. Establish mechanisms to measure and track metrics related to adoption of the AWS AI/ML/GenAI products, and execute improvements to the approach based on those measurements. Prepare and deliver business reviews to the senior management regarding the AWS AI/ML/GenAI business.

We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you'd make a great addition to our vibrant international team. For our GBS team, we are looking for a Specialist to help us drive GBS P2P within Siemens and beyond. We are a highly motivated team and are excited to get to know you. You'll make an impact by • Quickly responding to requests from customers and users via hotline phone, teams chat, or emails, and creating tickets on the SNOW system • Analyzing whether the requests from customers and users meet the service scope of OneSRM hotline team, and guiding customers and users to the correct service group if not • Diagnosing procurement process and application usage issues, and updating progress sharing with customers and users in a timely manner until the issues are resolved • Organizing related meetings to communicate with different teams (such as customers, users, IT, and backend support Atos team), promoting problem-solving solutions, and efficiently closing cases • Assisting customers in completing system-related change request services • Analyzing and identifying the root cause of customer or user complaints, developing corresponding improvement measures, and continuously optimizing to enhance customer satisfaction • Regularly conducting training to guide customers on the correct use of the system • Preparing reports and supporting digital project tasks • Supporting other functional tasks assigned by the supervisor

Engage in Senior-level customer meetings to drive AWS AI/ML/GenAI adoption. Diving into customer’s business challenges and executing strategies on how the AWS AI/ML/GenAI services can help address and resolve these challenges. Serve as an evangelist for the AWS AI/ML/GenAI products within AWS and externally. Define, build and deploy enterprise focused sales and business development campaigns around the AWS AI/ML/GenAI offering. -Engage, support and scale business development and sales teams across AWS to be capable of delivering the AWS AI/ML/GenAI value proposition to customers and partners. Develop a standard market intelligence framework and dynamic analytic model to be utilized by the AWS Sales, Business Development and Marketing teams. Bring the various stakeholders together to help build collective mindshare in augmenting the AWS AI/ML/GenAI products. Establish mechanisms to measure and track metrics related to adoption of the AWS AI/ML/GenAI products, and execute improvements to the approach based on those measurements. Prepare and deliver business reviews to the senior management regarding the AWS AI/ML/GenAI business.

About the Role We are seeking an AI Infrastructure Procurement Specialist with deep expertise in hardware procurement and data center operations to lead the sourcing and acquisition of compute infrastructure powering our AI workloads. This role demands a seasoned professional who can navigate complex hardware supply chains, command technical conversations on data center architecture, and drive favorable commercial outcomes across multi-million dollar deals. You will own the end-to-end procurement lifecycle for GPU clusters, networking fabrics, power capacity, and the full stack of supporting infrastructure. Key Responsibilities Hardware Procurement • Lead strategic sourcing for GPU systems, CPUs, high-speed networking (InfiniBand NDR/XDR, 400G/800G Ethernet), and high-performance storage • Manage relationships with OEMs, ODMs, and system integrators; structure framework agreements and multi-year supply commitments • Drive RFP/RFQ processes, vendor scorecards, and competitive bidding across hardware categories • Manage allocation negotiations during constrained supply periods and secure priority access during product launches • Oversee logistics, lead-time management, staging, and burn-in coordination across global supply chains • Navigate export controls, and cross-border compliance, particularly for advanced compute hardware Data Center Sourcing • Source and negotiate colocation, build-to-suit, and powered shell agreements with hyperscale, wholesale, and regional data center operators • Evaluate facility specifications: power density (kW/rack), cooling architectures (air, liquid, direct-to-chip, immersion), redundancy tiers (N+1, 2N), PUE, WUE, and sustainability commitments • Assess site selection factors: latency, fiber connectivity, power reliability, climate, regulatory environment, and expansion optionality • Negotiate commercial terms covering power pricing, escalators, SLAs, remote hands, cross-connects, and exit clauses • Build TCO models across capex, power, cooling, networking, real estate, and operational costs over multi-year horizons Cross-Functional Leadership • Partner with engineering, finance, legal, and sustainability teams to align technical requirements with budget, contractual • Track market intelligence: chip roadmaps, lead times, pricing trends, power market dynamics, and emerging data center technologies • Support capacity planning and forecasting in coordination with infrastructure and ML engineering leadership