{"id":324060,"date":"2026-06-06T00:00:00","date_gmt":"2026-06-05T23:00:00","guid":{"rendered":"https:\/\/www.remotetribe.life\/remotejobs\/job\/dona%c2%80%c2%99t-see-a-perfect-role-apply-anyway\/"},"modified":"2026-06-06T00:00:00","modified_gmt":"2026-06-05T23:00:00","slug":"dona%c2%80%c2%99t-see-a-perfect-role-apply-anyway","status":"publish","type":"job_listing","link":"https:\/\/www.remotetribe.life\/remotejobs\/job\/dona%c2%80%c2%99t-see-a-perfect-role-apply-anyway\/","title":{"rendered":"Don\u00e2\u0080\u0099t See a Perfect Role Apply Anyway"},"content":{"rendered":"

About Reducto<\/p>\n

<\/strong><\/strong>Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows.<\/p>\n

We\u00e2\u0080\u0099ve grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms.<\/p>\n

Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital.<\/p>\n

The Opportunity<\/p>\n

<\/strong>Let us know what you want to do! We hire for talent and ambition first.<\/p>\n

About Reducto<\/p>\n

<\/strong>Nearly 80% of enterprise data is in unstructured formats like PDFs<\/p>\n

<\/em>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\u00e2\u0080\u0099s simply impractical for use in digital workflows. This isn\u00e2\u0080\u0099t an inconvenience\u00e2\u0080\u0094it\u00e2\u0080\u0099s a critical bottleneck that leads to dozens of wasted hours every week.<\/p>\n

Traditional approaches fail at reliably extracting information in complex PDFs<\/p>\n

<\/em>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.<\/p>\n

Reducto<\/strong> breaks document layouts into subsections and then contextually parses each depending on the type of content.<\/p>\n

<\/strong>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:<\/p>\n