Principal Growth Marketing Engineer — Laurel
San Francisco, California, United States; San Francisco, CA
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.
As we've worked with customers to solve their most pressing document intelligence problems, we've started building a universe of products and tooling that can help customers through the entire lifecycle of their document workflows. We're hiring a Head of Product Engineering to lead the engineering team building these products. You'll set direction for what we build on top of our models, and be accountable for the product feeling fast, reliable, precise, and worth paying for. You'll define how we build products, from what technologies we use to how we apply them.
This is a hands-on role. We think the best product leaders at our stage lead from inside the codebase, so you'll spend your first few months shipping as an engineer on the team before you fully take on leading it. As AI makes it easier to write code, the expectation that you can fix the hard problems yourself will not go away.
You'll report to our Head of Engineering and work directly with our founders.
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:
At Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:
Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.
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