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're raised over 100M from world class investors like A16z, Benchmark, and First Round Capital, and are hiring a Technical Lead Manager to own Reducto's API platform—the infrastructure that processes tens of millions of pages every month for teams ranging from startups to Fortune 10 enterprises.
This is a hands-on leadership role where you'll build and lead the team responsible for the reliability, performance, and scale of the product that our customers depend on every day.
You'll work directly with the founders and customers to shape both the technical architecture and team strategy. We need someone who can write code, make hard technical decisions, and grow a world-class engineering team—all while moving fast in an early-stage environment.
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%. You ship fast, with high agency, and don't just voice problems but actively jump in to fix them.
Experience: You have 5+ years of engineering experience with at least 2+ years managing or leading technical teams. You've built and scaled production APIs or infrastructure that real users depend on.
Technical depth: You can write production code and make hard technical tradeoffs. You understand distributed systems, API design, and what it takes to build reliable infrastructure at scale.
Leadership: You've recruited engineers, managed performance, set technical strategy, and helped people grow. You know how to balance being hands-on with letting your team own their work.
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
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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.
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:
Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.