Snorkel AIIntegrates and configures it
Senior/Staff Forward Deployed Engineer - Data as a Service
New York, NY · San Francisco, CANew York, NY +1Hybrid
$180,000–$320,000
Updated
$200,000–$300,000San Francisco, CAOn-site
Forward-deployed infrastructure engineer responsible for end-to-end Reducto deployments across customer environments ranging from VPCs to bare-metal on-premises.
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$200K–$300KAbove the median
Median $188K
This job$200K–$300KTypical senior FDE payMiddle 50% of 1,748 postings$160K–$220KIntegrates and configures it
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Posted by Reducto on
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, and are hiring a founding Infrastructure Engineer.
As a Forward Deployed Engineer, Infrastructure Specialist you will lead the end-to-end deployment of Reducto into customer environments, ranging from VPC to bare metal on-prem. Each deployment comes with its own hardware, networking, security, and reliability constraints, and you will be the engineer who makes them work.
This role sits at the bridge between Reducto and our enterprise customers' infrastructure, security, and platform teams. You will partner directly with those teams to deploy, configure, harden, and operate Reducto inside their environments. This is hands-on execution work with direct customer exposure, not a bottoms-up platform role.
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.
Reducto combines OCR and vision-language models to turn complex documents into structured, LLM-ready data through APIs and an agentic workflow platform.
Series B · 100–200 people
Snorkel AIIntegrates and configures it
New York, NY · San Francisco, CANew York, NY +1Hybrid
$180,000–$320,000
$166,500–$231,000
$208,000–$300,000
$220,000–$260,000
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