Full Stack Analyst, GTM
Bangun infrastruktur data untuk tim GTM di Cursor
Kamu akan membangun dan memelihara model data dan pipa data untuk tim GTM. Kamu juga akan menganalisis data untuk memberikan wawasan penting tentang pipeline, konversi, dan retensi. Kerjaan ini dilakukan dalam lingkungan startup yang cepat berkembang dengan tim kecil dan berbakat.
Kenapa Menarik?
Kamu akan menjadi orang pertama di tim GTM Analytics dan memiliki pengaruh besar dalam membangun infrastruktur data.
Tanggung Jawab Utama
- Membangun dan memelihara model data dan pipa data untuk analisis GTM
- Melakukan analisis mendalam tentang faktor yang mempengaruhi pendapatan
- Mengoptimalkan model peramalan, kuota, dan kapasitas untuk kepemimpinan
- Mendefinisikan cara GTM berinteraksi dengan data dalam cara AI-first
- Bekerja sama dengan tim Data Produk dan Enterprise Engineering untuk mendapatkan data yang dibutuhkan
Persyaratan
- Memiliki SQL yang luar biasa dan mampu bekerja dengan dataset besar dan kompleks
- Pernah membangun dan memelihara pipa data dan model produksi
- Pernah membangun model peramalan, kuota, atau kapasitas
Skills Wajib
Keywords
Lihat Deskripsi Asli dari Ashby Job Boards
Deskripsi asli dari Ashby Job Boards
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. Cursor is expanding rapidly into the Enterprise AI coding market, and our GTM organization is scaling just as fast. As one of the first hires on our GTM Analytics team, you'll be the most senior IC on the team — both building the data infrastructure GTM runs on and turning it into the metrics, models, and insights leadership uses to make decisions. About the role This is a hands-on, high-leverage role. You'll set the technical and analytical bar for the team. You'll own the GTM data models and pipelines that matter, build a trustworthy semantic layer reps and leadership can build from, and use that foundation to answer the hard questions about what's driving pipeline, conversion, and retention. You'll define how GTM interacts with data in an AI-first way, work with the GTM Apps team and RevOps to keep tooling consistent, and partner with the product Data and Enterprise Engineering teams to get the data you need. What you’ll do - Own the GTM data models and pipelines that power analysis - building and maintaining them, setting high quality standards, and creating a safe and consistent semantic layer GTM can build on. - Run deep-dive analyses on what's driving (and blocking) revenue: funnel conversion, segment performance, customer success, and rep productivity. - Optimize the forecasting, quota, and capacity models leadership plans against, and pressure-test the assumptions behind them. - Define how GTM interacts with data in an AI-first way—what's self-serve via Cursor and what's prebuilt into governed dashboards and applications. - Partner with the product Data and Enterprise Engineering teams to ensure GTM has the data it needs and uses consistent pipelines, definitions, and models wherever possible. You may be a fit if - Your SQL is exceptional (non-negotiable), and you're fluent working across large, complex datasets. - You've built and maintained production data pipelines and models, and you pick up unfamiliar data structures quickly—CRM and GTM systems included. - You've built forecasting, quota, or capacity models, and you're a strong modeler in both code and spreadsheets. - You can operationalize metrics and tooling for non-technical stakeholders so they can self-serve. - You have strong analytical judgment and can move between the big picture and the details—from "how should we measure GTM health?" to "why is this one segment's conversion off?" - Direct experience with GTM, revenue, or sales analytics is preferred, but a strong analytics or data-science background and the drive to go deep on the GTM domain matter more. - You operate with high ownership, are comfortable pushing back on senior leaders, and bias toward durable systems over one-off decks.
Konteks Gaji
Posisi Data & Analytics serupa di LokerDollar dibayar sekitar $111.962k/yr (kisaran $26.292k–999.999k/yr, dari 64 listing aktif).
Perekrutan di Cursor
Cursor punya 41 lowongan aktif lain di LokerDollar dan telah merekrut di sini sejak 24 Jun 2026 — di kategori Data & Analytics, Engineering, Marketing.
- Field Engineer - India
- Enterprise Account Executive - India
- Strategic Partnerships & Growth Lead — Civilian Government
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Pertanyaan yang sering diajukan
- Apakah Full Stack Analyst, GTM di Cursor bisa dikerjakan remote?
- Posisi ini berlokasi di Remote. Detail remote/onsite ada di deskripsi lowongan.
- Jenis pekerjaan apa Full Stack Analyst, GTM di Cursor?
- Posisi ini adalah pekerjaan full time.
- Bagaimana cara melamar?
- Klik tombol "Lamar" pada halaman ini untuk menuju halaman aplikasi resmi Cursor.
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