aion

GTM Engineer

aion

full-time

Posted on:

Location Type: Hybrid

Location: New York City • California • New York • United States

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Tech Stack

Cloud

About the role

  • 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

Requirements

  • 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
Benefits
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
cloudAI infrastructuredeveloper toolsdata platformsmodel traininginferencedeploymentGTM KPIsdeal velocityrevenue influence
Soft Skills
technical depthrelationship buildingcommercial acumenownershipurgencycustomer insightsstrategic thinkingcollaborationproblem-solvingcommunication