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Data Center Sales Jobs in Silver Spring, MD (NOW HIRING)

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How much do data center sales jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data center sales in Silver Spring, MD is $34.57, according to ZipRecruiter salary data. Most workers in this role earn between $26.83 and $43.75 per hour, depending on experience, location, and employer.

What is a data center sales?

A Data Center Sales job involves selling data center solutions, including hardware, cloud services, and colocation, to businesses. Professionals in this role work with clients to understand their IT infrastructure needs and recommend suitable data center products and services. They collaborate with internal teams, negotiate contracts, and maintain relationships with customers to drive revenue growth. Strong technical knowledge, sales expertise, and an understanding of the industry are essential for success in this role.

What are the key skills and qualifications needed to thrive in data center sales?

To thrive as a Data Center Sales professional, you need a solid understanding of IT infrastructure, data center solutions, and proven experience in B2B sales, often supported by a relevant degree or industry certifications. Familiarity with CRM software, cloud platforms, and certifications like Cisco CCNA or CompTIA Data Center are highly advantageous. Strong negotiation, relationship-building, and communication skills help you effectively engage clients and work cross-functionally with technical teams. These skills ensure you can translate technical solutions into business value, drive sales success, and foster lasting client partnerships.

What are some typical challenges faced in data center sales and how can I overcome them?

Professionals in Data Center Sales often encounter challenges such as navigating complex customer requirements, staying up-to-date with rapidly evolving technologies, and maintaining long sales cycles. To overcome these obstacles, it's important to continually update your product and industry knowledge, actively listen to customer needs, and partner closely with technical teams to present tailored solutions. Building strong client relationships and following up proactively can also shorten the sales cycle and improve outcomes. Many teams provide ongoing training and mentorship to help you adapt and succeed in this dynamic environment.

Do data center sales pay well?

Data center sales roles typically offer competitive salaries that include base pay and commissions, reflecting the technical knowledge and sales skills required. Compensation can vary based on experience, location, and performance, with successful sales professionals often earning above average industry wages.

What are popular job titles related to Data Center Sales jobs in Silver Spring, MD?

For Data Center Sales jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Data Center Sales jobs in Silver Spring, MD look for?

The top searched job categories for Data Center Sales jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Data Center Sales jobs?

Cities near Silver Spring, MD with the most Data Center Sales job openings:

Data Center Sales jobs near you
Infographic showing various Data Center Sales job openings in Silver Spring, MD as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $71,902 per year, or $34.6 per hour.

Sales Engineer - Data Center Infrastructure

Chantilly, VA • On-site

Worldwide Mission Critical LLC
Construction • 11 - 50 employees
Learn more about Worldwide Mission Critical LLCexternal

$111K - $145K/yr

Full-time

Posted 28 days ago

Key responsibilities

  • Serve as the technical lead during tenant engagements and sales pursuits.

  • Assist the design team in designing data center solutions aligned with tenant requirements.

  • Own the technical solution from initial discovery through contract execution and support responses to RFIs, RFPs, and RFQs.

Job description

Description:

This position serves as the primary technical advisor supporting potential tenants, including hyperscale cloud, neoscaler, and artificial intelligence (AI) companies, along with their high performance computing (HPC) requirements, throughout the presales lifecycle for Starwood Digital Ventures (SDV) and its operating subsidiary, Worldwide Mission Critical (WWMC). The Sales Engineer partners closely with Sales, Product, Engineering, Design, Construction, Operations, Legal, and Delivery teams to develop scalable colocation and data center infrastructure solutions that align tenant technical requirements with commercial objectives. The role owns the technical solution from initial discovery through contract execution, and is accountable for feasibility, compliance, and a successful handoff to the project delivery team.

Essential Responsibilities and Duties

A. Technical Sales Leadership

• Serve as the technical lead during tenant engagements and sales pursuits.

• Partner with and support SDV and WWMC Executives, helping carry technical sales conversations throughout the pursuit.

• Translate tenant business objectives into technical infrastructure solutions.

• Establish credibility as a trusted advisor for current and future hyperscale cloud, neoscaler, and AI tenants.

• Lead technical discussions with tenant representatives, subject matter experts (SMEs), engineers, and tenant executive stakeholders.

• Support strategic account planning for key tenants.

B. Tenant Discovery and Requirements Gathering

• Stay current with tenant technical design requirements across infrastructure, structural, power, cooling, networking, security, and operations.

• Capture current state and future state infrastructure requirements, including growth projections, rack densities, and geographic locations of interest for future expansion.

• Identify outlier requirements that fall outside WWMC standards early in the sales cycle.

C. Solution Design

Assist the design team in designing both standard and customized data center solutions across Starwood's sites, aligned with the following disciplines.

• Space: buildings and land plots.

• Power Infrastructure: utility feeds, power topology such as Distributed Redundant (DR), Block Redundant (BR), 2N, and 2N+2 configurations, generator redundancy, power to the pod design, centralized versus decentralized UPS, and cooling and pump power redundancy.

• Cooling: air cooled versus water cooled requirements per environment, high density deployments, and liquid cooling readiness including direct to chip (D2C) design and coolant distribution unit (CDU) strategy.

• Connectivity: network power and cooling requirements, external and internal pathway requirements, structured cabling, fiber pathways, meet me room (MMR) architecture, and diverse entry facilities.

• Security: physical security, access control, closed circuit television (CCTV), visitor management, and compliance controls.

• BMS: Building Management System (BMS) and Electrical Power Monitoring System (EPMS) integration, including how tenants want to ingest critical infrastructure data and alarms.

D. Technical Proposal Development

• Respond to technical portions of tenant proposals, including solution narratives.

• Support pricing and commercial proposals in partnership with Sales and Finance.

• Ensure technical accuracy across all tenant facing deliverables.

E. RFI, RFP, and RFQ Support

Own technical responses for Requests for Information (RFI), Requests for Proposal (RFP), Requests for Quote (RFQ), due diligence questionnaires, technical compliance matrices, security questionnaires, sustainability questionnaires, and AI infrastructure assessments. Coordinate responses across Engineering, Operations, Construction, Product, and Legal.

F. Engineering and Cross Functional Coordination

• Collaborate with Data Center Design, Construction, Development, Engineering, Commissioning, and Operations to validate technical feasibility before commitments are made to tenants.

• Project manage the completion of tenant qualification documents, including Owner's Performance Requirements exhibits, Request for Qualifications capability matrices, and Technical Due Diligence (TDD) checklists, coordinating input across engineering, construction, operations, security, and other technical disciplines.

G. Capacity Planning

• Evaluate available inventory and recommend deployment strategies.

• Support campus expansion planning and evaluate power availability and cooling capacity.

• Coordinate phased tenant growth and support reservation planning for hyperscale deployments.

H. Commercial Support

• Partner with Executive Sales leaders to develop solution pricing assumptions and validate technical costs.

• Support contract and lease negotiations, and review tenant redlines affecting technical commitments.

• Explain the commercial impact of design decisions to internal and tenant stakeholders.

I. Hyperscale, Neoscaler, and AI/HPC Tenant Support

Support large scale deployments for hyperscale cloud, neoscaler, and AI tenants, involving multi megawatt campuses, build to suit facilities, powered shell solutions, wholesale colocation, campus expansions, AI infrastructure, graphics processing unit (GPU) deployments, high density compute, and multi region deployments. Coordinate across internal teams so that tenant requirements align with construction schedules and delivery milestones, including current and upcoming GPU platform generations such as NVIDIA Blackwell (GB200 and GB300 Ultra), Vera Rubin, and Feynman.

J. Tenant Success and Delivery Support

Support post contract activities, including technical kickoff meetings, phase turnovers, design validation, tenant onboarding, deployment planning, design change management, technical issue resolution, and expansion and future growth planning.

K. Market Intelligence

Monitor competitor offerings and emerging technologies, identify tenant trends, and provide feedback to Product Management to support go to market initiatives and service enhancements.

Requirements:

Required Qualifications

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related technical discipline, or equivalent practical experience in data center design, construction, or operations.

• A minimum of 3 to 5 years of experience in data center design, construction, commissioning, or operations, presales engineering, or a comparable technical tenant facing role.

• Prior experience working for a data center builder, developer, or colocation provider, in a role that directly supported hyperscale, neoscaler, or AI tenants.

• Experience supporting hyperscale, neoscaler, and AI or HPC tenant deployments, and current generation graphics processing unit (GPU) platforms.

• Working knowledge of critical infrastructure systems, including UPS, switchgear, generators, automatic transfer switch (ATS) and static transfer switch (STS) systems, and PDUs.

• Working knowledge of data center cooling systems, including computer room air handlers (CRAH), computer room air conditioners (CRAC), fan walls (FW), chillers, cooling towers, primary chilled water loops, coolant distribution units (CDUs), and direct to chip (D2C) liquid cooling.

• Demonstrated ability to read and mark up electrical and mechanical single line drawings and floor plans.

• Strong verbal and written communication skills, and comfort presenting to tenant executives, architects, and technical stakeholders.

• Proficiency with AutoCAD, Bluebeam, and the Microsoft Office suite.

Preferred Qualifications

• Professional Engineer (PE) license.

• A data center industry certification, such as the Certified Data Center Professional (CDCP), Certified Data Center Specialist (CDCS), or Certified Data Center Design Professional (CDCDP), or the Accredited Tier Designer (ATD) certification offered through the Uptime Institute.

• Direct to chip liquid cooling experience, including CDU strategy, coolant distribution loop architecture, glycol chemistry, and leak detection, and experience with demarcation (DMARC) point structuring by tenant type.

• Familiarity with compliance and security frameworks relevant to hyperscale, neoscaler, and AI tenants, including ISO 27001, System and Organization Controls (SOC) 1 and SOC 2, Payment Card Industry Data Security Standard (PCI DSS), Health Insurance Portability and Accountability Act (HIPAA), and the Federal Risk and Authorization Management Program (FedRAMP), where applicable.

• Familiarity with industry design standards such as Uptime Institute Tier Standards, the ANSI/TIA 942 data center standard, BICSI, ASHRAE, and NFPA.