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GTM Applications Engineer

San FranciscofulltimemidAdded yesterday

About this role

Build full-stack internal applications for SpaceXAI's go-to-market organization, enabling sales and customer success teams with tools for account intelligence, forecasting, and pricing. You'll own product surfaces end-to-end—from user conversations to production deployment—while maintaining shared infrastructure and driving reliability improvements.

What you'll do

  • Design and ship full-stack GTM applications using TypeScript, Next.js, and internal shared infrastructure
  • Own a product surface (account intelligence, pricing, forecasting, or data API) and drive its roadmap
  • Partner with RevOps, Data Engineering, and field teams to translate business processes into durable software
  • Improve reliability, performance, and UX for critical tools the GTM team uses daily
  • Build and maintain shared infrastructure (APIs, UI libraries, authentication) for other GTM builders
  • Triage production issues and incorporate feedback into product direction

What they're looking for

  • TypeScript and modern React/Next.js
  • Full-stack web development (UI, APIs, backend)
  • SQL and data warehouse experience
  • Product thinking and UX design sensibility
  • Cross-functional collaboration with non-technical stakeholders
  • Production systems ownership and debugging
  • AI tooling integration
  • Salesforce or RevOps platform knowledge (bonus)
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Cursor

Cursor builds an AI-driven code editor used by millions of developers to transform how software is built. The company is hiring for infrastructure engineers, ML systems specialists, enterprise platform builders, security engineers, and customer success roles focused on driving adoption within large organizations.

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Likely interview questions

  • Walk us through a full-stack web application you shipped to production—how did you approach the requirements, architecture, and launch?
  • Tell us about a time you worked closely with business users (sales, ops, CS) to translate a messy, undefined problem into a software solution. What was hard about it?