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

The vast majority of enterprise data is in files like PDFs and spreadsheets. That includes everything from financial statements to medical records. Reducto helps AI teams turn those really complex documents into LLM-ready inputs with exceptional accuracy.

Hundreds of companies have signed up to use Reducto since our launch, and we're now processing tens of millions of pages every month for teams ranging from startups to Fortune 10 enterprises. We're hiring our first Developer Relations Lead to help our growing community of customers succeed with Reducto.

As our DevRel Lead, you'll be the bridge between our technical teams and our users, ensuring customers can effectively integrate and scale with our API. You'll shape how developers experience Reducto, from their first API call to building production systems.

We would love to meet you if you:

• Philosophy: You're energized by helping developers succeed. You have a high bar for quality documentation and technical content, and you're proactive about improving things when you see gaps. We want someone who can both spot potential friction points and jump in to fix them.
• Experience: You have enough exposure to technical challenges to quickly understand and debug customer integration challenges
• Communication: You can break down complex technical concepts into clear, practical guidance through docs, blogs, and direct customer support
• Tools: You're comfortable building demos and sample applications to showcase best practices and new features
• Approach: Data-driven approach to developer experience. You should be able to identify patterns in customer questions to drive improvements in documentation and product.

The core work will include:

• Working directly with customers to ensure successful onboarding and integration of Reducto
• Maintaining and expanding our technical documentation as we ship new features
• Creating technical content including blog posts, tutorials, and sample applications
• Gathering and synthesizing customer feedback to help shape product direction
• Supporting our community through various channels (Slack, email, calls)

Bonus points if you:

• Are active in the ML/AI community through speaking, writing, or open source
• Have previously worked in developer relations or technical writing
• Have experience at a fast-growing startup

This is an in person role at our office in SF. We’re an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.