Unstructured is making it possible for organizations to continuously harvest their human-generated data and use it in conjunction with LLMs to power a range of workflows. We make it effortless to connect to any in-house or third party models and deliver that data to any downstream location. We do two things better than anyone: file transformation and data orchestration. Unstructured’s open source package has been downloaded more than 12 million times, is used by more than 50k companies, including nearly half of the Fortune 500. In the last two quarters thousands of users have signed up for Unstructured’s commercial product with several thousand currently on the waitlist for our ETL platform.
As a Solutions Engineer, you will lead technical interactions with Unstructured’s customers, enabling them to achieve business and mission objectives with our products and services. Ideal candidates will have proven success in the post-sales development and deployment of technical products, as well as experience providing technical support to sales activities.
Primary Responsibilities:
-Lead technical execution on post-sales engagements, ensuring delivery excellence and forging strong relationships with our users, and deploying our tools in virtual private clouds and on-premises.
-Become an expert at using the Unstructured API and Platform, building and presenting reference architectures, technical guides, and onboarding material for users.
-Provide top-notch support and guidance on the deployment, integration, and/or use of our AI-enabling products.
-Help grow our deployments through technical support to pre-sales activities (giving demos and workshops, building prototypes, etc.).
-Partner with our product managers and engineering leads to identify and prioritize feature development based on customer feedback and market signal.
-Deep expertise in Gen AI architectures, especially Retrieval Augmented Generation (RAG) and Knowledge Graphs, and proactively share your knowledge with colleagues and customers.
Requirements
-Willingness and interest to travel up to 25%. 3+ years of experience as Solutions Engineer, Sales Engineer, or Solutions Architect 3+ years of experience in software engineering or DevOps.
-Experience leading successful, customer-facing engagements, including deployments directly in customers’ environments.
-Ability to write and maintain scripts in Python, especially for automation, API interactions, and data manipulation.
-Professional experience with deployment technologies, such as Docker, Kubernetes, and tools of major cloud service providers (Azure/AWS/GCP).Experience with CI/CD pipelines, version control systems (e.g., Git), and infrastructure as code (IaC) tools.
-Familiarity with security best practices, including securing containerized applications and resolving vulnerabilities.
-Excellent communications skills, including the ability to facilitate effective collaboration across teams and articulate technical solutions and value propositions to non-technical stakeholders.
-Comfort working in a fast-paced, fluid environment, operating effectively both with relative independence and as a member of small teams. Experience with or interest in building RAG applications.
Why Join Unstructured:
-Opportunity to lead a dynamic team and work on cutting-edge machine learning projects.
-Collaborative and innovative work environment with a focus on learning and growth.
-Impactful role in shaping the company's technical direction and driving innovation in unstructured data processing.
-Competitive compensation package, including benefits and stock options.
Top Skills
What We Do
At Unstructured, we're on a mission to give organizations access to all their data. We know the world runs on documents—from research reports and memos, to quarterly filings and plans of action. And yet, 80% of this information is trapped in inaccessible formats leading to inefficient decision-making and repetitive work. Until now.
Unstructured captures this unstructured data wherever it lives and transforms it into AI-friendly JSON files for companies who are eager to fold AI into their business.
