Senior GTM Consultant

Company Description

Mount-It! is a leading provider of advanced, affordable mounting and workspace solutions, founded in 2006 and headquartered in the San Diego area. With over 100 team members and two U.S. locations, the company supports customers through bi-coastal warehouses and a catalog of more than 700 products, including commercial display mounts, ergonomic office solutions, and home office and home theater products. Mount-It! partners directly with qualified fabricators to ensure quality while maintaining value-driven pricing. Its solutions are widely used by systems integrators and value-added resellers in government, military, education, hospitality, healthcare, and other commercial sectors across North America, LATAM, the Caribbean, and South America. Mount-It! has been repeatedly recognized on the Inc. 5000 Fastest Growing Companies list and as one of San Diego’s fastest-growing private companies.

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Location:

Remote (U.S. preferred) with occasional travel to customer, partner, and industry event locations.

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Engagement Type:

Contract / Consulting (3–6 month engagement with potential extension)

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About the Opportunity

We are seeking an experienced consultant to develop a comprehensive business plan and go-to-market strategy focused on racks, mounts, and supporting infrastructure for data centers and AI compute environments. The engagement will evaluate market opportunities driven by accelerated AI infrastructure growth, including hyperscale data centers, enterprise AI deployments, edge AI systems, and liquid-cooled GPU environments. The consultant will help define strategic positioning, market sizing, product roadmap priorities, channel strategy, and financial projections for a scalable infrastructure business serving the evolving AI ecosystem.

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Scope of Work

Market & Industry Analysis

• Evaluate demand drivers for:
• Server racks
• Cabinet systems
• Mounting hardware
• Cable management
• Assess competitive landscape including OEMs, ODMs, integrators, and infrastructure vendors.

Business Plan Development

Develop a complete investor- and operator-ready business plan including:

• Executive summary
• Market opportunity analysis
• Customer segmentation
• Product and service strategy
• Pricing and margin models
• Manufacturing and sourcing strategy
• Channel and distribution strategy
• Partnership ecosystem recommendations
• Sales and marketing plan
• Financial model (3–5 year projections)
• Capital requirements and scaling roadmap

AI Ecosystem Strategy

• Identify strategic partnerships within:
• AI hardware ecosystem
• GPU manufacturers
• Cloud and colocation providers
• Integrators and VARs
• Recommend positioning for:
• AI-ready rack and mount systems
• High-density compute environments
• Evaluate opportunities for differentiation and IP creation.

Deliverables

• Full written business plan
• Market sizing and analysis
• Competitive landscape report
• Financial forecast model
• Investor presentation / pitch deck
• Strategic roadmap with phased milestones

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Required Qualifications

• 7+ years in:
• Data center infrastructure
• AI infrastructure
• Enterprise hardware strategy
• Management consulting
• Technology market analysis
• Strong understanding of:
• Rack infrastructure
• GPU server environments
• Hyperscale architecture
• Experience creating:
• Business plans
• Go-to-market strategies
• Investor materials
• Financial models
• Familiarity with:
• NVIDIA ecosystem
• Colocation providers
• Enterprise procurement
• Manufacturing and supply chain strategy

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Preferred Experience

• Prior work with:
• Data center OEMs
• AI infrastructure startups
• HPC environments
• Rack/cabinet manufacturers
• MBA or equivalent strategic consulting background preferred.
• Existing industry relationships are a plus.

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Success Metrics

The consultant will be considered successful if they deliver:

• A commercially viable business plan
• Clear product-market positioning
• Actionable go-to-market strategy
• Credible financial projections
• Investor-ready materials
• Strategic recommendations for entering and scaling within the AI infrastructure market

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How to Apply

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