aion is the world’s first and only AI infrastructure research lab: a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether you're a startup founder, enterprise team, or independent developer, aion gives you everything you need to go from concept to production in one seamless platform.
By abstracting away infrastructure complexity, aion unifies compute orchestration, training workflows, data pipelines, model versioning, and deployment into a single, streamlined experience. No more fragmented stacks or cloud lock-in, just fast, scalable, and accessible AI infrastructure.
Led by serial entrepreneurs Jayden Watson and Christian Angermayer, aion is well-funded by top-tier VCs and strategic partners. Headquartered in the U.K., we operate globally with core teams in London, SF, and NYC.
As a Go-to-Market (GTM) Engineer, you will own the revenue-adjacent technical motion of aion’s GTM strategy. This is a sales- and partnerships-focused role that blends technical fluency with commercial execution.
You will work directly with aion’s founders, sales leadership, and strategic partners to turn interest into pilots, pilots into customers, and customers into long-term platform adoption. This role is ideal for someone who enjoys being technical and commercial—equally comfortable in a whiteboard session with engineers or a deal discussion with decision-makers.
Technical GTM: Support sales conversations with technical depth—demos, architectures, proof-of-concepts
Customer pilots: Scope, launch, and support trials and pilot deployments with startups and enterprises
Deal acceleration: Remove technical friction from the sales cycle
Strategic partners: Identify and build relationships with cloud providers, AI tooling companies, research labs, and ecosystem players
Co-selling & co-marketing: Design joint GTM motions with partners (events, integrations, bundled offerings)
Founder-level selling: Work closely with leadership on high-impact strategic deals
Customer insights: Feed real-world GTM and sales learnings back into Product and Engineering
Use-case definition: Help define and refine ICPs, verticals, and core AI infrastructure use cases
Metrics: Own GTM KPIs tied to pipeline, conversions, deal velocity, and revenue influence
Clear, repeatable GTM motion for aion
Strong partner ecosystem with active co-selling
Faster sales cycles and higher conversion rates
Meaningful revenue and pipeline contribution
3–7+ years in GTM, Sales Engineering, Partnerships, or Solutions Engineering
Strong technical foundation (cloud, AI infra, developer tools, or data platforms)
Comfortable discussing model training, inference, deployment, and infra tradeoffs
Commercially sharp: understands how deals get done
Builder mindset with high ownership and urgency
Willing to travel for customers, partners, and strategic events
Join the ground floor of a mission-driven AI startup revolutionizing compute infrastructure.
Work with a high-caliber, globally distributed team backed by major VCs.
Competitive compensation and benefits.
Fast-paced, flexible work environment with room for ownership and impact.
Hybrid model: 3 days in-office, 2 days remote with flexibility to work remotely for part of the year.
In case you got any questions about the role please reach out to hiring manager on linkedin or X.
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