Founding GTM Engineer at RamAIn | Y Combinator

Open menuAboutWhat Happens at YC?ApplyYC Interview GuideFAQPeopleYC BlogCompaniesStartup DirectoryFounder DirectoryLaunch YCLibraryPartnersResourcesStartup SchoolNewsletterRequests for StartupsFor InvestorsVerify FoundersHacker NewsBookfaceSafeFind a Co-FounderStartup JobsLog inApplyRamAInAutomate any UI task with natural languageFounding GTM Engineer$120K - $180K•0.30% - 1.20%•San Francisco, CA, USJob typeFull-timeRoleSalesExperience1+ yearsVisaUS citizen/visa onlyConnect directly with founders of the best YC-funded startups.Apply to role ›Shourya Vir JainCo-founderShourya Vir JainCo-founderAbout the roleRamAIn 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.
Founders
RamAIn was founded by Shourya Vir Jain (CEO) and Vansh Ramani (CTO), who met at IIT Delhi and dropped out to build AI-native automation for enterprise workflows.
Shourya previously worked at McKinsey, where he saw firsthand how much enterprise work still depends on manual interaction with legacy systems. He is also a FIDE-rated chess player (2118), was ranked top-20 globally under 16, and previously built and scaled an enterprise AI company to over 6-figures in ARR.
Vansh is an AI researcher who worked at CMU on scalable machine learning and representation learning. His research includes publications at ICLR and ACS, and "Panaroma," one of the fastest vector search algorithms, later merged into Meta's FAISS. He focuses on building high-performance reasoning and planning systems for real-world deployment.
Role
We're looking for a technical GTM builder to own our top-of-funnel revenue infrastructure as our first business hire. You'd be the third person working full-time on the company, working directly with the founders.
This is a good fit if you've built outbound systems from scratch - wiring together enrichment pipelines, AI personalization, and sequencing automation - and you want to apply that to one of the most interesting problem spaces in enterprise AI.
What you'll own

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

What we're looking for

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

About RamAInImagine your AI could literally do work by taking actions on the screen!
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 from enterprise teams - automating legacy systems, desktop apps, and web portals with AI that operates just like a human at the keyboard. We move fast, think deeply, and build things that matter.
Founded by CMU, IIT Delhi, McKinsey and YC alumn
RamAInFounded:2025Batch:W26Team Size:4Status:ActiveLocation:San Francisco  FoundersShourya Vir Jain Co-founderShourya Vir Jain Co-founderVansh Ramani Co-founderVansh Ramani Co-founderFooterY CombinatorMake something people want.ProgramsYC ProgramStartup SchoolWork at a StartupCo-Founder MatchingResourcesStartup DirectoryStartup LibraryInvestorsDemo DaySafeHacker NewsLaunch YCYC DealsCompanyYC BlogContactPressPeopleCareersPrivacy PolicyNotice at CollectionSecurityTerms of UseTwitterTwitterFacebookFacebookInstagramInstagramLinkedInLinkedInYoutubeYouTube© 2026 Y Combinator

RamAIn is an enterprise AI company focused on developing the world's fastest computer-use agents designed to eliminate repetitive, manual workflows by enabling AI agents to operate legacy systems, desktop applications, and web portals with the reliability and speed of a human, achieving improvements of ten times faster. The company was founded by Shourya Vir Jain, who serves as the CEO, and Vansh Ramani, the CTO, both of whom met while pursuing automation for enterprise workflows. Shourya Vir Jain has a background that includes experience at McKinsey, where he observed the substantial reliance on manual interaction with legacy systems, and a demonstrable ability to scale enterprise AI companies to over six-figure annual recurring revenue. Vansh Ramani is an AI researcher with expertise in scalable machine learning and representation learning, having conducted research with publications at ICLR and ACS, and his work on vector search algorithms, such as Panaroma, which was later incorporated into Meta's FAISS. His focus is on developing high-performance reasoning and planning systems for real-world deployment.

The position of Founding GTM Engineer is structured to serve as the initial business hire, focusing on owning the entire top-of-funnel revenue infrastructure. This role requires an individual who has experience building complex outbound systems from the ground up, connecting enrichment pipelines, AI personalization strategies, and sequencing automation. The scope of responsibility involves designing and owning the end-to-end outbound infrastructure, encompassing tasks such as leading enrichment, defining ideal customer profiles, implementing AI-personalized sequences, managing email deliverability, and establishing CRM architecture for pipeline visibility and reporting. Furthermore, the role demands creating automations to surface buying signals, trigger timely outreach, experimenting with new lead generation channels, and systematically identifying and automating manual growth marketing tasks.

To qualify for this position, candidates should possess zero to four years of experience in GTM engineering, technical RevOps, or a growth marketing capacity where the focus was on building systems and pipelines rather than simply executing campaigns. Essential skills include hands-on experience with modern GTM tooling, such as platforms like Clay, Apollo, or Instantly, specifically in building multi-step enrichment and sequencing workflows. Proficiency in Python or SQL is necessary to manage data, interact with APIs, and develop lightweight scoring or enrichment logic. The ideal candidate must possess a top-of-funnel mindset, demonstrating the ability to construct systems that generate qualified pipeline at scale, spanning from initial Ideal Customer Profile definition through to booked meetings. A genuine interest in artificial intelligence is crucial, ideally demonstrated through the application of Large Language Models to automate research, enhance personalization, or detect signals within a GTM context.