Go-to-Market Champion (GPU & AI)

Company

hirify.global builds decentralized GPU orchestration and enterprise storage infrastructure for an AI-first platform.

What you will do

• Define and drive global GTM strategy: segmentation, value propositions, pricing, and packaging for GPU cloud and AI infrastructure across enterprise, startups, and research segments.
• Build scalable customer acquisition and retention through direct sales, channels, and partnerships; manage the commercial and technical buying journey.
• Build and lead a high-performing global GTM team (presales, direct sales, partnerships, solutions engineering, marketing, customer success) with playbooks and performance metrics.
• Partner with Product and Engineering to align GTM with the roadmap and feed market/competitive intelligence into planning.
• Identify, close, and lead strategic partnerships (AI companies, ISVs, integrators, cloud marketplaces) and enterprise/AI-native client engagements.
• Drive thought leadership and market presence via industry events, content, and executive engagement.

Requirements

• Location: Remote EU / United States.
• 8–10+ years of GTM leadership experience in cloud, infrastructure, or AI technology companies.
• Deep technical expertise in GPUs, cloud technologies, and AI/ML workloads.
• Proven track record building and executing global GTM strategies and scaling revenue in high-growth environments.
• Experience scaling global technical GTM teams and developing ecosystem/partnership plays.
• Strong executive presence and ability to build trust with both technical and business stakeholders.

Culture & Benefits

• Hands-on ownership of GTM strategy from playbook creation to scaling a high-performing sales organization.
• Collaboration with founders, Product, Marketing, and Customer Success to turn product traction into predictable enterprise revenue.
• Fast-growing AI infrastructure environment with an emphasis on relentless innovation, accountability, and urgency.
• Use of AI tools may support parts of the hiring process, while final decisions remain human-led.

Hiring process

• Applications may be reviewed with AI-assisted tools (e.g., resume/application analysis), followed by human evaluation.
• Final hiring decisions are made by humans.