GTM Apps Engineer: Build End-to-End Revenue Tools

Cursor; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Cursor is seeking a GTM Applications Engineer in San Francisco to design, build, and ship full-stack GTM tools using TypeScript, Next.js, and a shared internal stack. You will collaborate with Sales, Customer Success, and RevOps to deliver reliable software that elevates the go-to-market function.

You’ll own product surfaces end-to-end, partner with data teams, and continuously improve UX and performance. A strong emphasis on translating business needs into scalable solutions is required.

Qualifications

• Shipped production full-stack web apps used daily.
• Strong in TypeScript and modern React/Next.js across UI, APIs, data.
• Solid UX focus and clarity in design and implementation.
• Experience translating business user needs into software requirements.
• Comfortable with SQL and working with large datasets in data warehouses.
• Own the full SDLC end-to-end with minimal process overhead.

Responsibilities

• Design, build, and ship full-stack features for GTM Apps (TypeScript / Next.js).
• Enable the sales team with high-quality, reliable software.
• Own a product surface and drive its roadmap (e.g. pricing, forecasting, data API).
• Collaborate with RevOps, Data Eng, and field teams to streamline processes.
• Improve reliability, performance, and UX of critical GTM tools.
• Build and maintain shared infrastructure (APIs, UI libraries, auth).
• Triage issues and feed feedback into the roadmap; leverage AI in workflows.

Skills

TypeScript

React/Next.js

UX

SQL

SDLC ownership

Business user collaboration

Tools

Salesforce

Databricks

Vercel

Datadog

Job description

Cursor is seeking a GTM Applications Engineer in San Francisco to design, build, and ship full-stack GTM tools using TypeScript, Next.js, and a shared internal stack. You will collaborate with Sales, Customer Success, and RevOps to deliver reliable software that elevates the go-to-market function.

You’ll own product surfaces end-to-end, partner with data teams, and continuously improve UX and performance. A strong emphasis on translating business needs into scalable solutions is required.