Company Overview

A high-growth, Y Combinator-backed startup is building the end-to-end workspace designed to accelerate the pace of human discovery. Their platform is already trusted by over 250,000 researchers globally, transforming a process that typically takes months of manual literature review into a streamlined workflow that takes mere hours. By leveraging advanced LLMs to analyze millions of academic papers with line-by-line citations, they are ensuring that scientific progress is no longer bottlenecked by static PDFs and fragmented data.

What Makes It an Awesome Place to Work

• High-Impact Mission: Work on a product that directly accelerates breakthroughs in medicine, climate science, and space exploration.
• Explosive Growth: Join one of the fastest-growing apps in the research space with a massive, highly engaged global user base.
• Top-Tier Pedigree: Backed by Y Combinator (YC) and founded by a team with deep expertise in NLP and rapid product scaling.
• Product-First Culture: Collaborate directly with founders who are obsessed with user psychology and building adaptive tools for the world's smartest people.
• Technical Challenge: Solve complex problems involving RAG (Retrieval-Augmented Generation), massive academic databases, and seamless integrations with researcher tools like Zotero and Mendeley.

Scope of Role and Experience

As a Founding Engineer, you will:

• Lead the development of core features for the scientific discovery workspace, from sophisticated search filters to AI-powered writing assistants.
• Architect and scale systems capable of processing millions of scientific queries and indexing vast academic databases.
• Partner directly with the founders to translate researcher pain points into elegant, high-performance product solutions.
• Own the end-to-end delivery of 0 → 1 features that define the future of the "CFO of Science" tech stack.
• Influence the technical roadmap and help set the engineering culture for a rapidly expanding team.

You have:

• 4+ years of experience in full-stack software engineering, ideally in a fast-paced startup or high-growth environment.
• Mastery of modern web technologies and experience building complex, data-heavy applications.