USD per year
Infrastructure Engineer, Customer Deployments
San Francisco Office
- $150K – $300K • Offers Equity
- FullTime • Engineering department
About Reducto
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 8x 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 founding Infrastructure Engineer.
The Opportunity
As Reducto's Infrastructure Engineer for Customer Deployments, 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.
The core work will include:
- Leading end-to-end deployment of Reducto into customer environments including planning, configuration, testing, and rollout.
- Partnering with enterprise IT, security, and platform teams to assess their infrastructure, security posture, and data management practices, and designing deployment strategies tailored to their constraints.
- Understanding the hardware that power our in-house ML models so we can successfully deploy them onto customer infrastructure.
- Building monitoring, telemetry, and phone-home patterns that give us visibility into customer-controlled environments without compromising their security posture.
- Debugging and resolving customer-specific infrastructure issues end-to-end, like K8s misconfigurations and cloud IAM edge cases,...
Reducto helps leading AI teams transform unstructured documents into structured, reliable data that can power production pipelines with industry-leading accuracy. It combines computer vision and vision-language models to produce accurate, LLM-ready results. The product offers flexible APIs for document parsing, splitting, extracting structured data, and editing fillable elements without templates. It supports multiple file types and languages and is enterprise-ready with security certifications like SOC2 and HIPAA compliance.
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