Forward Deployed Engineer

Unstructured Technologies•San Francisco, CA

About The Position

Ready to drive real-world impact by helping enterprises harness the power of unstructured data and AI? At Unstructured, we’re building the backbone of generative AI—enabling companies to transform PDFs, HTML, Word docs, images, and more into enterprise-grade data pipelines. Our open-source package has been downloaded over 52+ million times , with adoption across 50,000+ companies , including nearly half of the Fortune 500. We’re entering our next chapter of growth, and we’re hiring an experienced Forward Deployed Engineer to help bring our commercial customers from purchase to production with ease. If you're a technical problem solver who loves working directly with customers, designing real-world solutions, and seeing impact fast - this is your moment. You’ll be a core part of our commercial team, leading enterprise deployments, building scalable cloud-native architectures, and ensuring customers unlock the full potential of our platform.

Requirements

5+ years of experience in post-sales engineering, solutions architecture, or technical consulting
Deep experience with cloud-native architectures (AWS, Azure, GCP), containers (Docker, Kubernetes) , and IaC tools
Strong hands-on Python skills for scripting, API integration, and automation
Proven success leading enterprise-scale deployments and solving real customer problems with technical precision
Excellent communicator—you simplify the complex and build trust across both engineering and business audiences
Comfort navigating ambiguity and speed—especially in startup or high-growth environments

Nice To Haves

Experience delivering or optimizing RAG pipelines, vector databases, or LLM-based applications
Knowledge of DevSecOps best practices and commercial security/compliance frameworks (SOC 2, ISO 27001)
Familiarity with both pre-sales and post-sales solutioning across AI/ML workflows
Startup DNA - you move fast, stay scrappy, and take ownership end-to-end

Responsibilities

Lead High-Impact Deployments: Design and deliver secure, scalable post-sales implementations for commercial customers—across AWS, GCP, and Azure
Be the Trusted Technical Partner: Guide customers through architecture, integration, optimization, and tuning—especially around AI/LLM and RAG use cases
Build the Toolkits That Scale: Create reference architectures, onboarding guides, and playbooks that reduce time-to-value and accelerate adoption
Drive Technical Success: Run enablement sessions, whiteboarding workshops, and POCs to maximize customer value and foster long-term partnerships
Troubleshoot the Hard Stuff: Solve complex infrastructure and data pipeline issues—ensuring stability, observability, and high performance
Shape the Product: Feed customer insights directly to Product & Engineering to shape our roadmap and improve enterprise capabilities