aion

Founding Go-to-Market Lead

aion

full-time

Posted on:

Origin:  • 🇺🇸 United States • Washington

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Job Level

Senior

Tech Stack

Cloud

About the role

  • aion is building the next generation of AI cloud platform by transforming the future of high-performance computing (HPC) through its decentralized AI cloud.
  • Purpose-built for bare-metal performance, aion democratizes access to compute power for AI training, fine-tuning, inference, data labeling, and beyond.
  • By leveraging underutilized resources such as idle GPUs and data centers, AION provides a scalable, cost-effective, and sustainable solution tailored for developers, researchers, and enterprises.
  • Headquartered in the US, the company has a global presence with core teams in London, Seattle and India.
  • Define and execute AION’s go-to-market strategy to drive adoption and growth.
  • Build and manage lead funnels through targeted inbound/outbound campaigns.
  • Partner with product and engineering to align platform development with customer needs.
  • Lead marketing initiatives, including messaging, content, and events to grow awareness and demand.
  • Develop strategic partnerships with cloud providers, GPU operators, and AI ecosystem players.
  • Build and nurture AION’s community of developers and researchers to strengthen brand presence.
  • Own the sales playbook, CRM systems, and pipeline to scale customer acquisition and revenue.
  • Build and maintain executive-level relationships with key customers and partners.

Requirements

  • Proven experience leading GTM strategies for AI/ML products, with a deep understanding of the competitive landscape.
  • Expertise in translating complex technical concepts into clear, impactful messaging for both technical and non-technical audiences.
  • A track record of building and nurturing partnerships that drive growth and adoption within the AI/ML ecosystem.
  • Strong communication and leadership skills, with demonstrated success in aligning teams to execute strategic initiatives.
  • Familiarity with tools like LinkedIn, HubSpot, and industry-standard AI/ML tools and platforms.
  • Deep understanding of sales technology stacks and revenue operations.
  • Strong analytical mindset with experience in sales performance optimization and forecasting.
  • Experience in building customer success frameworks and measuring customer value metrics.