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Multiverse Computing is a fast-growing deep-tech company founded in 2019, recognized by CB Insights as one of the 100 most promising AI companies globally. The company is the largest quantum software company in the EU with 250+ employees worldwide, building advanced AI and quantum solutions for enterprises across finance, energy, manufacturing, telecom, and industrials.
Multiverse Computing builds the software layer that turns GPU infrastructure into a production AI environment. Multiverse Foundry enables data centers and GPU operators to run multi-tenant, metered AI services on their own hardware with CompactifAI model compression built in. The company also sells inference capacity directly, priced by tokens.
In this role, you will own partnerships across the AI infrastructure stack, from silicon to the data center. You will build and run the go-to-market with semiconductor companies, GPU and data center hardware resellers, and data center operators, closing customer opportunities that come through those channels. Your responsibilities include:
• Semiconductor Partnerships: Build relationships with NVIDIA and European semiconductor companies. Get Foundry and CompactifAI validated on their hardware, agree joint positioning, and leverage their field teams and ecosystems as routes to end customers.
• Reseller Channel: Recruit and enable GPU and data center hardware resellers to bundle Foundry and inference with the infrastructure they already sell. Establish partner programs, deal registration, pricing structures, and sales enablement.
• Data Center Operators: Work with data center operators to offer Foundry-based AI services to their clients and to host capacity for the company's own inference offering.
• GTM Strategy: Define target partners, joint value propositions, sales motions, and commercial models for each segment. Run the partner pipeline, forecast accurately, and report on partner-sourced and partner-influenced revenue.
• Inference Sales: Position token-based inference commercially and technically, including cost per token, throughput, latency, and the effect of model compression on GPU utilization.
• Deal Closure: Negotiate partnership agreements and reseller terms. Lead customer opportunities through to signature, working with legal, finance, and presales.
• Internal Advocacy: Bring hardware roadmaps, partner requirements, and competitive signals back to product and engineering teams.
The company offers an indefinite contract, equal pay guarantee, variable performance bonus, signing bonus, work visa sponsorship, relocation package (if applicable), private health insurance, educational budget eligibility, hybrid work opportunity, flexible working hours, language classes, and discounted lunch options.
REQUIREMENTS:
• 5+ years in sales, business development, or partnerships in semiconductors, AI infrastructure, data centers, or cloud
• Proven experience closing customer opportunities end-to-end, from qualification and proposal through negotiation and signature, with a track record against quota or revenue targets
• Track record of closing partner or channel deals with measurable revenue attached
• Working technical knowledge of the AI infrastructure stack: GPUs and accelerators, inference serving, model deployment, data center economics (power, utilization, margin per GPU)
• Comfort explaining token-based pricing and inference economics to both technical buyers and commercial decision makers
• Existing network across European semiconductor companies, hardware resellers, or data center operators
• Spanish and wider EU market knowledge is a strong plus
• Experience building a GTM motion from early stage, where the playbook doesn't exist yet
• Fluent English and Spanish
NICE TO HAVE:
• Experience at a GPU or AI accelerator vendor, GPU cloud provider, or hardware distributor
• Familiarity with sovereign AI initiatives and European AI gigafactory programs
• Background in multi-tenant platforms, Kubernetes-based AI tooling, or MLOps
