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Reducto
New York City, New York, United States
Source: Reducto careers · View original posting
From Reducto's posting. “We” and “our” refer to the employer.
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.
We’ve 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.
Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital.
The Opportunity
As an early member for the solutions team at Reducto, you’ll be at the front lines with our customers—enabling sales and implementations through your technical expertise. You’ll bridge the gap between our GTM team, core engineering team, and the unique, complex needs of our enterprise users. Moreover, you’ll build out the foundation of how this org will grow and expand.
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.
You have 3 to 6 years of experience working with enterprise or regulated customers.
You're excellent with Python and can navigate Bash and infrastructure as needed.
You're very comfortable with Kubernetes.
Tools: Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.
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.
The core work will include:
This is an in person role at our office in NYC. We’re an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.
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:
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