CS Recruiting
Sr. Solutions and Pricing Engineer – Data Center Logistics
CS Recruiting, Charlotte, North Carolina, United States, 28245
Sr. Solutions and Pricing Engineer – Data Center Logistics
Sr. Solutions and Pricing Engineer - Data Center Logistics Job Type:
Full-time; Remote
Responsibilities
Analyze client requirements and design complete logistics solutions across warehouse, transport, and in-site delivery, including integration and configuration. Build detailed operational and financial models to estimate costs (labor, transport, storage, handling, SLA penalties, etc.). Collaborate with sales, operations, pricing, and procurement to develop efficient, scalable, and SLA-compliant solutions. Develop, validate, and implement pricing structures for data center logistics services, including specialized offerings such as white-glove delivery, bonded storage, and secure asset tracking. Benchmark industry rates and competitor offerings to maintain competitiveness and profitability. Support commercial teams during RFPs and customer negotiations with pricing insights. Support implementation and ramp-up of new contracts, ensuring seamless handoff to operations. Optimize processes for hardware handling, configuration, kitting, asset tracking, and warehouse flows using lean and automation principles. Monitor key metrics post-implementation to ensure efficiency and service-level compliance. Act as subject matter expert (SME) in logistics design and solution engineering for data center logistics across the Americas. Develop SOPs, process flow documentation, and scalable toolkits for replication across sites. Contribute to internal knowledge bases and continuous improvement initiatives. Foster a collaborative, performance-driven team culture aligned with the company’s values and safety standards. Serve as a brand ambassador for the company, especially in customer-facing solution presentations. Support other cross-functional initiatives or special projects as required. Experience: Bachelor's degree in Industrial Engineering, Supply Chain, Logistics, or related field. 5–7 years in solutions engineering, cost modeling, or logistics design, preferably in a 3PL or supply chain consulting role. 2+ years specific to data center or high-tech logistics operations, including white-glove handling, secure transport, and warehouse design for high-value IT assets. Strong track record of successful solution deployment, pricing development, and operational ramp-ups. Experience in data center logistics, including rack and server movements, and reverse logistics. Solid understanding of warehouse and transportation cost drivers in high-value, secure, and SLA-driven environments. Knowledge of automation and material handling systems (e.g., RFID, barcoding, robotics). Familiarity with hyperscaler compliance and audit standards (e.g., Google, Microsoft, AWS, Oracle). Agile or lean project management experience. MOST Certification or Six Sigma/Lean experience. Proficiency in Microsoft Office, especially Excel (pivot tables, costing models), PowerPoint (client presentations), and Visio. Able to present technical and financial models clearly to both operational teams and executive stakeholders.
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Sr. Solutions and Pricing Engineer - Data Center Logistics Job Type:
Full-time; Remote
Responsibilities
Analyze client requirements and design complete logistics solutions across warehouse, transport, and in-site delivery, including integration and configuration. Build detailed operational and financial models to estimate costs (labor, transport, storage, handling, SLA penalties, etc.). Collaborate with sales, operations, pricing, and procurement to develop efficient, scalable, and SLA-compliant solutions. Develop, validate, and implement pricing structures for data center logistics services, including specialized offerings such as white-glove delivery, bonded storage, and secure asset tracking. Benchmark industry rates and competitor offerings to maintain competitiveness and profitability. Support commercial teams during RFPs and customer negotiations with pricing insights. Support implementation and ramp-up of new contracts, ensuring seamless handoff to operations. Optimize processes for hardware handling, configuration, kitting, asset tracking, and warehouse flows using lean and automation principles. Monitor key metrics post-implementation to ensure efficiency and service-level compliance. Act as subject matter expert (SME) in logistics design and solution engineering for data center logistics across the Americas. Develop SOPs, process flow documentation, and scalable toolkits for replication across sites. Contribute to internal knowledge bases and continuous improvement initiatives. Foster a collaborative, performance-driven team culture aligned with the company’s values and safety standards. Serve as a brand ambassador for the company, especially in customer-facing solution presentations. Support other cross-functional initiatives or special projects as required. Experience: Bachelor's degree in Industrial Engineering, Supply Chain, Logistics, or related field. 5–7 years in solutions engineering, cost modeling, or logistics design, preferably in a 3PL or supply chain consulting role. 2+ years specific to data center or high-tech logistics operations, including white-glove handling, secure transport, and warehouse design for high-value IT assets. Strong track record of successful solution deployment, pricing development, and operational ramp-ups. Experience in data center logistics, including rack and server movements, and reverse logistics. Solid understanding of warehouse and transportation cost drivers in high-value, secure, and SLA-driven environments. Knowledge of automation and material handling systems (e.g., RFID, barcoding, robotics). Familiarity with hyperscaler compliance and audit standards (e.g., Google, Microsoft, AWS, Oracle). Agile or lean project management experience. MOST Certification or Six Sigma/Lean experience. Proficiency in Microsoft Office, especially Excel (pivot tables, costing models), PowerPoint (client presentations), and Visio. Able to present technical and financial models clearly to both operational teams and executive stakeholders.
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