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Reducto helps AI teams ingest real world enterprise data with state of the art accuracy. The vast majority of enterprise data — from financial statements to health records — is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale.
We’ve grown incredibly quickly, growing revenue by 7x YOY, and now work with hundreds of companies ranging from leading AI teams (Harvey, Vanta, Scale), through to enterprise (FAANG, top 3 trading firm).
We've raised over 100M from world class investors like A16z, Benchmark, and First Round Capital, and are hiring a Product Engineer.
As a Lead Product Engineer, you'll define and build the features and platform used by our customers to power their critical business workflows. You'll work closely with our founders and leadership to make document data accessible to anyone, developers and non-developers alike. You'll build a rich end-to-end product suite that helps customers retrieve the data they want from their documents, in the size and shape they need. This includes features like interactive and agentic document editors to delightful interfaces for viewing and managing expansive datasets. Just as much as you'll define what we build, you'll shape our culture of how we build excellent products.
Philosophy: You are your own worst critic. You have a high bar for quality and don't rest until the job is done right—no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them.
Product Intuition: You have a sharp eye for what good product looks like and how it's built. You care about the details that matter and think with first principles.
Experience: You have 5+ years of experience building applications with modern frameworks. You've led business-critical projects from 0 to 1. You're comfortable leading small teams.
Language/Skills: You're exceptional at TypeScript and React, with strong design sensibility. You understand both the technical and visual aspects of great product experiences.
Tools: Build your own tools as needed—like a quick prototype to test a new interaction pattern or a component library to speed up development.
Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users.
Nearly 80% of enterprise data is in unstructured formats like PDFs
PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to dozens of wasted hours every week.
Traditional approaches fail at reliably extracting information in complex PDFs
OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.
Reducto breaks document layouts into subsections and then contextually parses each depending on the type of content. This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:
At Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer: