GTM Applications Engineer

About the Role

SpaceXAI's go-to-market org is growing fast, and the software that runs it has to keep up. GTM Apps sits inside Revenue Operations and builds the internal products our Sales, Customer Success, Field Engineering, and RevOps teams use every day for account intelligence, forecasting, pricing, and more. We also enable other teams to build apps for themselves via enablement and maintaining shared infrastructure.

As a GTM Applications Engineer, you'll own product surfaces end-to-end by talking to users, shipping full-stack applications, keeping production apps healthy, and raising the bar on reliability and UX. This is product engineering for the people who sell and support the SpaceXAI suite of products.

Responsibilities

• Design, build, and ship full-stack features for GTM Apps (TypeScript / Next.js and our shared internal stack), from idea through production
• Enable our sales team to exceed their ambitious goals with software
• Own a product surface and drive its roadmap (e.g., account intelligence, pricing, forecasting, internal data API)
• Partner closely with RevOps, Data Engineering, and field teams to turn messy operational processes into durable software
• Improve the reliability, performance, and user experience for critical software GTM teams depend on daily
• Build and maintain shared infrastructure other GTM builders can use (e.g., APIs, UI libraries, authentication frameworks)
• Triage and fix issues in the app suite and use that feedback as an input signal for your roadmap
• Use AI tooling aggressively in your own workflow and in the products you ship

Qualifications

• Proven experience shipping production full-stack products (web apps users rely on every day), not just scripts or dashboards
• Strong proficiency in TypeScript and modern React / Next.js, with comfort across the full stack (UI, APIs, data)
• Care for UX and clarity
• Experience working closely with business users (Sales, Customer Success, Operations) and translating fuzzy requests into software requirements
• Comfortable with SQL and experience working with large datasets in a modern warehouse
• Ability to take ownership of the entire SDLC end-to-end with minimal process overhead

Bonus Qualifications

• Experience with Salesforce, Databricks, Vercel, Datadog, or RevOps tooling
• Experience working on an internal platforms team
• Experience using Cursor