Job Description
Unstructured is defining the standard for enterprise data transformation in the age of LLMs and generative AI. In just two years, we've raised over $65M from world-class investors, including Menlo Ventures, Bain Capital, Databricks, NVIDIA, Microsoft, and IBM.
Our open-source toolkit has been downloaded 61M+ times and is used by 90% of the Fortune 1000. We power production AI workflows across commercial and federal sectors — transforming PDFs, HTML, Word docs, images, emails, and more into AI-ready data pipelines that scale.
We're not just building tools, we're building the backbone of generative AI and the infrastructure that unlocks intelligence across industries.
About the Role
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.
What You’ll Own & Drive
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
What You Bring
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
Willing to travel up to 20%
Bonus Points
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
Why You'll Love It Here
You'll be surrounded by smart, kind, low-ego people who genuinely enjoy building together. We invest in our team with company offsites, best-in-tech swag, and the tools you need to do your best work, wherever you're based.
We support you holistically, not just at work. From medical, dental, and vision coverage effective the 1st of the month following your start date, life and disability insurance, unlimited PTO, and flexible parental leave, to a 401(k) with company match, equity, a $500 work from home stipend, $70/month internet reimbursement, and team/company offsites throughout the year - we want you focused on building, growing, and staying energized for the long haul.
If you're excited about what we're building, we'd love to meet you.