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 Founding Head of Marketing to establish and scale our marketing function. As Head of Marketing, you will own marketing end-to-end. We’re especially focused on increasing sign-ups/awareness of new customers and driving engagement of existing ones. You’ll immediately have two direct reports, and be tasked with growing the org’s capability to cover: product marketing, brand marketing, performance marketing, and communications. This role requires someone who has marketed enterprise software to technical buyers, thrives in early-stage environments, and is excited to roll up their sleeves while building toward a world-class marketing organization. About Reducto 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: Accurately extract text and tables even with nonstandard layouts Automatically convert graphs to tabular data and summarize images in documents Extract important fields from complex forms with simple, natural language instructions Build powerful retrieval pipelines using Reducto’s document metadata Intelligently chunk information using the document’s layout data
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Job Type
Full-time
Career Level
Executive
Education Level
No Education Listed
Number of Employees
11-50 employees