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Founding GTM Engineer

RamAIn· Sales
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Hybrid (San Francisco, CA)$120k - $180k + equityFull-timePosted 3mo ago

About the role

RamAIn builds the world's fastest computer-use agents for enterprise work. We're a YC W26 company on a mission to eliminate repetitive, manual workflows by training AI agents that operate legacy systems, desktop apps, and web portals the same way humans do — but 10× faster and more reliably.

Responsibilities

  • Designing and owning our outbound infrastructure end-to-end: lead enrichment, ICP scoring, AI-personalized sequences, and email deliverability
  • Building automations that surface buying signals and trigger the right outreach at the right time
  • Owning CRM architecture - workflows, reporting, and pipeline visibility
  • Experimenting with new channels and approaches to generate qualified pipeline
  • Identifying where manual GTM work can be automated and building the system to replace it

Qualifications

  • 0–4 years of experience in GTM engineering, technical RevOps, or a growth/marketing role where you were building automations and pipelines, not just running campaigns
  • Hands-on with modern GTM tooling - Clay, Apollo, Instantly, or similar - you've built multi-step enrichment and sequencing workflows, not just set up a table
  • Comfortable with Python or SQL well enough to work with data, call APIs, and build lightweight scoring or enrichment logic
  • Top-of-funnel focused - you know how to build systems that generate qualified pipeline at scale, from ICP definition through to booked meetings
  • Genuine interest in AI; ideally you've used LLMs to automate research, personalization, or signal detection in a GTM context

Skills

Required:Outbound infrastructure designCRM architectureAutomation and sequencingPython or SQL
Last updated Oct 25, 2026. Interested? Apply on the company site.
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About RamAIn

AI Employees: Super-fast computer use agents

RamAIn can intelligently automate any super complex and repetitive process across applications (Browser & Desktop) super fast. It doesn’t matter whether you have API access or not - if you can see it, RamAIn can do it. Current CUAs all follow the same decision loop: screenshot, VLM, decision, repeat. This is expensive, unreliable and slow. We build infrastructure to pre-train CUAs on specific interfaces, effectively teaching RamAIn to use your computer.

Artificial IntelligenceRobotic Process AutomationAutomation

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