
51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $40M Series B - Unstructured Technologies on 2024-03
Artificial Intelligence • SaaS • Enterprise
Unstructured is a SaaS platform that transforms complex, messy unstructured data (documents, invoices, newsletters, databases, etc. ) into clean, structured data optimized for AI and analytics. The company provides parsing, chunking, embedding, enrichment, and pre-processing capabilities, with built-in security, role-based access, and continuous pipeline maintenance. Unstructured offers a UI and machine-callable pipelines (MCP) and integrates with major LLMs (OpenAI, Anthropic) and numerous data destinations via connectors and pipelines, targeting enterprise customers including a large portion of the Fortune 1000.
🔥 58 minutes ago
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51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $40M Series B - Unstructured Technologies on 2024-03
Artificial Intelligence • SaaS • Enterprise
Unstructured is a SaaS platform that transforms complex, messy unstructured data (documents, invoices, newsletters, databases, etc. ) into clean, structured data optimized for AI and analytics. The company provides parsing, chunking, embedding, enrichment, and pre-processing capabilities, with built-in security, role-based access, and continuous pipeline maintenance. Unstructured offers a UI and machine-callable pipelines (MCP) and integrates with major LLMs (OpenAI, Anthropic) and numerous data destinations via connectors and pipelines, targeting enterprise customers including a large portion of the Fortune 1000.
• Define and evolve the end-to-end architecture for Unstructured’s data transformation and retrieval platform. • Build and scale distributed systems that process massive volumes of unstructured data across diverse formats and sources. • Serve as the company-wide authority on Kubernetes orchestration, cluster design, performance tuning, and reliability. • Lead Python architecture and best practices—ensuring performance, modularity, and maintainability across services. • Design and optimize Postgres schemas, queries, and indexing strategies to support large-scale metadata and retrieval pipelines. • Mentor senior engineers through design reviews and code guidance, raising the bar for technical excellence across the org. • Partner with the infrastructure and product teams to translate research prototypes into production-grade systems. • Evaluate emerging technologies and open-source tools in LLM infrastructure, retrieval, and orchestration—deciding where and how to integrate them.
• Have 10+ years of software engineering experience with a focus on distributed systems, infrastructure, or data architecture. • Are a Python expert—capable of building frameworks and performance-critical services from scratch. • Have deep Kubernetes expertise; you can design, deploy, and debug at scale and could teach others how to productionize it securely. • Are fluent in Postgres—you understand query planning, partitioning, and tuning for high-throughput environments. • Are obsessed with clean, scalable architecture and can lead design reviews that shape how entire systems evolve. • Have experience in high-performance data or AI/ML systems—especially those involving retrieval pipelines, embeddings, or hybrid workloads. • Thrive in fast-moving, ambiguous environments where technical depth and judgment matter more than process.
• Medical, dental, and vision coverage effective the 1st of the month following your start date • Life and disability insurance • Unlimited PTO • Flexible parental leave • 401(k) with company match • Equity • $500 work from home stipend • $70/month internet reimbursement • Team/company offsites throughout the year
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