Solutions Architect

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November 4

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unstructured.io

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Artificial Intelligence • Enterprise • SaaS

unstructured. io is a data transformation company that specializes in extracting and converting complex enterprise data into formats compatible with large language models (LLMs). It offers enterprise-grade connectors to capture data from various sources and transform it into AI-friendly formats, enhancing the data science process by minimizing the time spent on data cleaning and preparation. This enables organizations to efficiently integrate AI capabilities into their workflows, making unstructured data manageable and actionable for advanced analytical use.

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• Lead Technical Discovery and Solution Design • Partner with account executives during customer engagements to uncover requirements, define success criteria, and architect tailored solutions. • Design and present technical architectures that integrate Unstructured’s SDKs, APIs, and connectors into customer environments. • Architect and Validate Complex Deployments • Implement Unstructured across diverse infrastructure—cloud-native (AWS, GCP, Azure), hybrid, and on-premises. • Design scalable solutions leveraging Kubernetes, containerized workloads, and Python-based data pipelines. • Solve real-world challenges involving file parsing, ETL, vectorization, and retrieval at enterprise scale. • Demonstrate Technical Credibility in the Field • Deliver compelling demos, proof-of-concepts, and reference architectures that show value and technical rigor. • Act as a trusted advisor to customer architects and data science teams, guiding best practices and integration strategies. • Collaborate Cross-Functionally • Provide structured, actionable feedback from customer interactions to influence product roadmap decisions. • Partner with engineering and product teams to reproduce issues, validate fixes, and ensure customer success. • Create and Share Best Practices • Contribute reusable templates, demo assets, and solution guides for internal and external enablement. • Elevate the technical standard across the field org through documentation and peer collaboration.

🎯 Requirements

• 7+ years in Solutions Architecture, Sales Engineering, or a customer-facing technical role • Familiarity with at least 1 Cloud Provider (AWS, Azure, or GCP), and general security and networking principles. • Deep familiarity with Python for scripting, API integration, and building PoCs • Hands-on understanding of ETL/data pipeline design, RESTful APIs, and data transformation workflows • Strong grasp of unstructured data processing: text, PDFs, images, and retrieval workflows • Ability to communicate complex technical concepts clearly to both engineering and executive stakeholders • Proven record of technical ownership in technical engagements—POCs, architecture reviews, solution validation, and deployment/implementation • Bonus: experience and knowledge of Kubernetes and containerization, and deploying applications to these environments.

🏖️ Benefits

• Highly Technical Work: You’ll design and deploy real AI/data infrastructure, not just talk about it. • Elite Customers & Impact: Work directly with leading enterprises and federal teams on GenAI deployments. • Cross-Functional Collaboration: Influence product direction and customer strategy in equal measure. • Startup Agility + Enterprise Reach: Move fast, stay hands-on, and solve problems that truly scale. • Backed by the Best: Our investors include Nvidia, Microsoft, IBM, Databricks, and more.