Technical Sourcer

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.

• Own sourcing strategy for engineering and research roles across the stack, systems, ML, infrastructure, security, and beyond

• Build and maintain deep talent maps of the best engineers in our key hiring areas

• Find people who aren't looking: identify passive candidates through technical communities, papers, open source contributions, and original research

• Write outreach that engineers actually respond to, specific, credible, and genuinely interesting

• Partner with hiring managers and recruiters to understand what we're actually looking for, then go find it

• Track pipeline data to continuously sharpen sourcing precision over volume

• Help Cursor show up in the right places — technical communities, conferences, and conversations that matter to the people we want to hire

• 3+ years of eng sourcing or research-focused recruiting experience for technical roles, ideally at a fast-moving startup

• You can read a Git Hub profile, skim a research paper, or parse an engineering blog and understand what makes someone exceptional, not just experienced

• You have strong intuitions about where great engineers live online and how to reach them in ways that feel human

• You're a precise operator: organized, data-literate, and good at using signal to cut noise

• You default to curiosity. You ask why something matters, not just what it is

• Comfortable operating with high autonomy in an environment that moves fast and changes direction

• Experience sourcing for AI, compiler, or systems roles

• You've built sourcing programs or pipelines from scratch, not just inherited them

• You have a personal network inside research or open source communities

In-office, ideally San Francisco or New York.