Lead Product Engineer

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've raised over 100M from world class investors like A16z, Benchmark, and First Round Capital, and are hiring a Product Engineer.

As a Lead Product Engineer, you'll define and build the features and platform used by our customers to power their critical business workflows. You'll work closely with our founders and leadership to make document data accessible to anyone, developers and non-developers alike. You'll build a rich end-to-end product suite that helps customers retrieve the data they want from their documents, in the size and shape they need.

This includes features like interactive and agentic document editors to delightful interfaces for viewing and managing expansive datasets. Just as much as you'll define what we build, you'll shape our culture of how we build excellent products.

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%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them.

Product Intuition: You have a sharp eye for what good product looks like and how it's built. You care about the details that matter and think with first principles.

Experience: You have 5+ years of experience building applications with modern frameworks. You've led business-critical projects from 0 to 1. You're comfortable leading small teams.

Language/

Skills:

You're exceptional at Type Script and React, with strong design sensibility. You understand both the technical and visual aspects of great product experiences.

Tools: Build your own tools as needed—like a quick prototype to test a new interaction pattern or a component library to speed up development.

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.

• Building and refining Reducto Studio's core features—document viewers, extraction workflows, data visualization, and editing interfaces
• Creating delightful, intuitive UIs that elegantly decomposes complex document workflows
• Ideating, prototyping and iteratively delivering new features like form filling, translations, document editing and document classification
• Implementing real-time collaboration features and responsive interfaces that work seamlessly across devices
• Working within our design system and stack (Next.js, Tailwind, Convex) to ship fast while maintaining high quality
• Experimenting with new interaction patterns to make AI-powered document processing feel magical
• Working directly with the founders and customers to shape the product direction based on user feedback
• Have prior experience founding a company or building products at early stages
• Have experience with document viewers, PDF rendering, or complex data visualization
• Are ambitious and driven, and care a lot about doing great work with great people
• Keep up with the latest developments in frontend engineering and design systems

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…