The Solutions Engineer will design, implement, and optimize cloud-native solutions for enterprise customers, ensuring customer success and relationship building post-sales.
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 26 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 a Solution Engineer (Post-Sales/ProServe) 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.
🏢 This role is located in San Francisco OR Washington, D.C
(Willing to accommodate and consider additional locations for the right candidate)
🔧 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
💎 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
Real Customer Impact: Work with top global companies solving bleeding-edge AI use cases
Mission-Critical Work: Your solutions will directly power AI deployments in production
Ownership & Autonomy: Be trusted to drive results and innovate from day one
Elite Team: Join world-class builders who value humility, speed, and precision
Strong Benefits: Competitive salary, full health benefits, equity, and parental leave
Ready to help companies unlock the full power of unstructured data?
Apply now to join Unstructured and shape the future of AI delivery.
Top Skills
AWS
Azure
Ci/Cd
Docker
GCP
Git
Kubernetes
Python
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