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All Tech JobsThe whole board, newest first.Roles That Fit MeAnswer a few questions, see your matches.Early WindowFound before the big boards.Direct ApplyStraight to the manager, past the ATS.$180,000 - 250,000/ year
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Sign Up to ReadReducto 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.
We would love to meet you if:
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:
Work with our GTM team to demonstrate our product capabilities for their specific environments through demos and proof-of-concepts
Designing and advising on system architecture or data flow to best integrate the product
Writing scripts or coding to help customers better leverage the best of Reducto's products code (e.g., API calls, connectors, dashboards)
Collaborating closely with customers, support, and core engineers to identify high-impact improvements.
Acting as a feedback loop to the product and infra teams—surfacing usability gaps, unmet needs, and opportunities to deepen customer value.
Working directly with the founders and customers to shape the product direction and engineering strategy
Bonus points if you:
Have prior experience founding a company or building products at early stages
Are ambitious and driven, and care a lot about doing great work with great people
Keep up with the latest developments in ML/AI
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.
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
From the office
Reducto
Office in New York, United States
Also hiring in San Francisco, United States
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