Business Development Manager, AI/HPC

What you'll do

The Business Development Manager, AI/HPC sits at the intersection of business development, project development, and product strategy for Giga Energy's AI data center offerings. You'll be responsible for originating and advancing AI data center projects from initial customer engagement through commercial structuring and internal handoff for execution. Working across colocation development, turnkey solutions, and AI infrastructure sales, you'll own early-stage customer relationships, build financial models for complex development projects, and translate market insights into Giga's standardized offerings. This is a high-impact role where you'll work directly with AI customers, hyperscalers, and enterprise partners while helping shape how Giga scales its presence in the rapidly growing AI infrastructure market.

Where you'll work

This role will be based remotely from your home office with travel expectations around 20% for team offsites, customer visits, conferences, etc.

Responsibilities

• Originate and manage relationships with AI customers, hyperscalers, enterprises, brokers, and ecosystem partners to generate pipeline for AI data center projects

• Lead early-stage customer engagement including qualification, needs assessment, solution positioning, and management of commercial timelines across multiple active opportunities

• Build development-level financial models for AI data center projects, including capex, operating assumptions, pricing, returns, and sensitivity analyses to evaluate offering structures and customer configurations

• Support structuring and negotiation of commercial agreements for colocation, turnkey development, and infrastructure sales opportunities in coordination with legal and internal stakeholders

• Proactively de-risk development projects by identifying and addressing critical dependencies such as fiber availability, site constraints, and long lead equipment procurement

• Create and maintain sales and marketing materials including pitch decks, one-pagers, and customer-specific presentations for AI data center offerings

• Represent Giga Energy at industry conferences, events, and customer meetings to generate leads, build relationships, and position the company in the AI infrastructure ecosystem

• Manage and formalize broker and intermediary relationships, including onboarding, structuring agreements, and driving repeatable deal flow

• Act as the voice of the customer internally by translating market demand, customer requirements, and deal learnings into actionable feedback for product and engineering teams

• Interface across Growth, Product, Engineering, and Operations to ensure efficient progression of projects from concept to execution

Requirements

• 5+ years of experience in business development, project development, investment analysis, or commercial roles within energy, data centers, infrastructure, or related industries

• Strong understanding of data center operations, AI infrastructure requirements, or large-scale infrastructure project development

• Demonstrated ability to build and analyze financial models for development-stage projects including capex modeling, return analysis, and sensitivity testing

• Experience managing complex, long-cycle B2B sales or development opportunities with multiple stakeholders

• Excellent written and verbal communication skills with experience creating executive-level presentations and customer-facing materials

• Proven ability to operate independently in ambiguous environments while managing multiple concurrent projects

• Willingness to travel occasionally for customer meetings, site visits, and industry events

Bonus points

• Experience in data center colocation, hyperscale infrastructure, or AI/HPC workload requirements

• Background in power infrastructure, electrical systems, or energy markets

• Experience with broker networks or channel partnership development

• Prior work at high-growth startups or in entrepreneurial business development roles

• Technical background or engineering degree with transition to commercial roles

• Existing relationships within the AI infrastructure, cloud, or data center ecosystem