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 hundreds of millions of documents for teams ranging from leading startups like Scale AI to Fortune 10 enterprises.
We're hiring a Founding Recruiter to build the team that will take Reducto to the next level. As our Founding Recruiter, you'll work directly with the founders to develop and execute our talent acquisition strategy from the ground up. You'll be responsible for the entire recruiting lifecycle—from sourcing exceptional candidates to creating an outstanding onboarding experience that sets new team members up for success.
We would love to meet you if you:
- Philosophy: You have an unwavering commitment to quality. You understand that the people we hire are our most important asset and refuse to compromise on talent. You're not just looking to fill seats—you're building the foundation of our company culture.
- Experience: You have a minimum of 2 years of experience in technical recruiting with a proven track record of sourcing and closing exceptional talent, particularly for hard-to-fill technical roles.
- Approach: You're scrappy, resourceful, and tenacious. You thrive in ambiguity and aren't afraid to build processes from scratch. You can juggle multiple pipelines simultaneously without dropping the ball.
- Candidate Experience: You have a high bar for candidate experience and understand its importance in competitive markets. You ensure every touchpoint with potential hires reflects our company values and mission.
- Communication: You have excellent communication skills and can effectively articulate Reducto's vision, mission, and value proposition to candidates. You're a trusted voice for the company who can close competitive candidates.
The core work will include:
- Developing and implementing effective sourcing strategies to attract top talent
- Building and managing recruiting pipelines across all roles and departments
- Creating a structured interview process that identifies exceptional candidates
- Leverage data-driven insights to optimize the recruiting process, tracking key metrics like offer acceptance rates, time-to-fill, and sourcing strategy effectiveness
- Ensuring a seamless and positive candidate experience from first contact through onboarding
- Partnering closely with hiring managers to understand their needs and build effective recruiting strategies
Bonus points if you:
- Have experience recruiting for early-stage startups or high-growth environments
- Are familiar with Ashby, LinkedIn Recruiter, Gem and other recruiting tools
- Have successfully hired for both technical and go-to-market roles
- Have developed employer branding strategies or recruitment marketing initiatives
- Are familiar with the AI/ML talent landscape
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.
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