You'll lead enterprise deployments, design solutions, guide customers through architecture, troubleshoot issues, and shape product development.
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 36+ 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 Senior+ 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
💎 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
Docker
GCP
Iac Tools
Kubernetes
Python
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As a Forward Deployed Solution Engineer, you will build, deploy, and iterate AI-native solutions in collaboration with customers, enhancing enterprise AI delivery and performance.
Top Skills:
AngularAWSAzureCi/CdGCPGraphQLJavaNode.jsPythonReactRest
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role involves building LLM-enabled applications, integrating AI solutions in customer environments, and creating reusable software assets. It requires strong backend and frontend engineering skills, with an emphasis on customer-facing roles and agile delivery.
Top Skills:
AngularAWSAzureCi/CdContainersGCPGraphQLJavaLangchainNode.jsPythonReactRestSemantic Kernel
Software
The role involves deploying containerized applications, integrating smart contracts with EigenCompute, and collaborating with web2 and web3 teams to enhance trust in digital services.
Top Skills:
DockerGoKubernetesPythonRustSmart ContractsTrusted Execution EnvironmentsTypescript
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
