AI Campus – Business Development & Leasing Lead
About The Position
Onni Mission Critical is building a new kind of digital infrastructure platform — urban, connected, edge-located, and purpose-repositioned for AI inference and enterprise compute. Our flagship asset at 600 Wilshire in downtown Los Angeles is live with 2 MW of initial capacity, immediate expansion headroom to 8 MW, and a development path scaling further as the building is provisioned. Additional sites are under active assessment across Seattle, Chicago, and a broader North American pipeline. We are hiring our first AI Campus Lead — who will drive the marketing strategy and leasing activity for our integrated AI campus sites, promote opportunities to prospective customers, and help establish the commercial foundation that differentiates our platform from traditional colocation and hyperscale approaches. This role is the ground-floor commercial seat at a platform backed by a fully integrated real estate owner, developer, and operator. About the platform Our business model is distinct from both traditional hotel carrier/colocation facilities and hyperscale data center platforms. We are not simply providing standardized space and power for third-party tenants, nor are we pursuing the scale-driven model of large hyperscalers. Instead, we are building an AI campus strategy focused on creating an integrated environment designed specifically for AI infrastructure, users, and ecosystem partners. Onni Mission Critical is the digital infrastructure division of Onni Group, one of North America's most active private real estate developers. Every site in the platform is 100% fee-simple owned — no landlord consent required — and integrated end-to-end across development, construction, and operations. The platform operates in partnership with AI-native infrastructure operators, under a structure that aligns real estate, capital, and operating expertise at each deployment. 600 Wilshire exemplifies this approach: a premium 292,000 square-foot office asset in downtown LA, repositioned as a connected AI campus with native inference and enterprise compute capability. It serves as the template for the next 130+ megawatts of portfolio deployment across LA, Seattle, Chicago, and additional markets — each site designed as an integrated AI ecosystem rather than commoditized data center space. The role Because this campus model depends on identifying prospects, structuring lease opportunities, and building the right market relationships to attract and secure tenants, we need an AI Campus Lead to drive leasing activity, promote the opportunity to prospective customers, and help establish the commercial foundation for the campus. The AI Campus Lead owns the commercial development of the platform — from first prospect contact through executed lease. You are the person who can speak the language of AI infrastructure buyers on inference economics, deployment patterns, latency, and workload requirements, and who translates the campus value proposition into commercial relationships. This is an ecosystem-building role as much as it is a leasing role. What you'll own Campus development & leasing. Build and execute the commercial strategy for 600 Wilshire and subsequent AI campus sites, positioning each location's integrated AI infrastructure capability to target customers including hyperscalers, AI inference operators, enterprise infrastructure teams, and ecosystem partners. Market intelligence. Track the competitive landscape — Digital Realty, Equinix, CoreSite, CoreWeave, Crusoe, and the hyperscaler build-to-suit market. Translate what you learn into positioning, pricing, and product decisions. Partnership & ecosystem. Develop relationships with network carriers, interconnection providers, systems integrators, and AI platform partners whose presence at our sites strengthens the campus value proposition. Brand voice. Be the platform's voice at industry events, on panels, and in long-form writing. Shape the narrative that positions Onni Mission Critical as the credible choice for urban edge AI infrastructure.
Requirements
- 3 to 6 years of commercial experience in AI infrastructure, hyperscaler GTM, edge computing, data center leasing, or enterprise infrastructure sales.
- Fluent in the vocabulary of AI workloads — inference versus training, model serving economics, token-level pricing, GPU utilization, latency budgets, and enterprise deployment patterns.
- Personal user of AI tools in daily work. You don't sell what you don't use.
- Demonstrated ability to build pipeline from zero — sourcing, qualifying, and moving accounts through stages without inheriting a book of business.
- Comfortable operating in a build-stage platform with direct ownership access — no bureaucracy, no cover, and no substitute for getting the meetings yourself.
- Based in San Francisco or willing to relocate.
- Regular travel to Los Angeles, Seattle, Chicago, and industry events expected.
Nice To Haves
- Existing network among AI infrastructure buyers, hyperscaler real estate teams, or enterprise CIOs strongly preferred.
- Relationships at CoreWeave, Lambda, Together AI, Crusoe, AWS AI/ML, GCP AI, Azure AI, Cloudflare, Databricks, or frontier AI labs are particularly relevant.
Responsibilities
- Build and execute the commercial strategy for 600 Wilshire and subsequent AI campus sites, positioning each location's integrated AI infrastructure capability to target customers including hyperscalers, AI inference operators, enterprise infrastructure teams, and ecosystem partners.
- Track the competitive landscape — Digital Realty, Equinix, CoreSite, CoreWeave, Crusoe, and the hyperscaler build-to-suit market. Translate what you learn into positioning, pricing, and product decisions.
- Develop relationships with network carriers, interconnection providers, systems integrators, and AI platform partners whose presence at our sites strengthens the campus value proposition.
- Be the platform's voice at industry events, on panels, and in long-form writing. Shape the narrative that positions Onni Mission Critical as the credible choice for urban edge AI infrastructure.
Benefits
- This role may involve the use of artificial intelligence (AI) tools to support research, analysis, content development, design, reporting, or operational efficiency. Employees are expected to use AI responsibly and in compliance with company policies, data privacy requirements, confidentiality obligations, and applicable laws. All AI-generated or AI-assisted outputs must be reviewed for accuracy, quality, and appropriateness before use. Employees are also expected to disclose when AI tools have been used in the creation of work and must not present AI-generated content as solely their own original work.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
