About Us
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. This means they can build more reliable products while saving engineering time.
Our Traction
In less than a year we've scaled to 7 figures in ARR, serving customers from ambitious startups to Fortune 10 enterprises. We're now processing tens of millions of pages monthly and looking for a Chief of Staff to help accelerate and structure our growth across all company functions
The Opportunity
As Chief of Staff, you'll work directly with our CEO to execute across operations, go-to-market, recruiting, planning and more. You'll be the CEO's force multiplier, helping to identify opportunities, remove obstacles, and ensure our team executes effectively during this period of rapid growth. This role offers unique exposure to all aspects of building a fast-growing AI infrastructure company.
We would love to meet you if the following resonates:
- You're an Operator: You have 2+ years of experience in high-performance environments (consulting, banking, tech, or startups) with a record of seeing things through to the finish line.
- You Have a Low Ego Mindset: Building a great company involves a lot of work that isn’t fun or glamorous. The right candidate would be excited to do anything it takes to help the team deliver.
- You're Extremely Versatile: You can context switch seamlessly between different types of work of work with little hand holding. You’re excited to help with everything from screening candidates to tracking sales follow ups to making materials for board meetings.
- You're an Exceptional Communicator: You can synthesize complex information into clear recommendations, write compelling documentation, and communicate effectively with stakeholders at all levels. You're skilled at both managing up and collaborating across teams.
- You're Proactive and Independent: You can spot problems before they arise and take initiative to solve them. You don't need detailed instructions – you can figure out what needs to be done and make it happen.
Bonus points if you:
- Have entrepreneurial experience or aspire to start a company
- Have experience in ML/AI or enterprise software
- Have previous startup experience
- Are willing to roll up your sleeves and do whatever it takes
- Thrive in ambiguous environments with rapid context switching
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.
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
