Define the architectural foundation for processing unstructured data for LLM applications. Oversee the core platform's development and mentor engineering teams.
Unstructured is defining the standard for enterprise data transformation in the age of LLMs and generative AI. In just two years, we’ve raised over $65M from world-class investors, including Menlo Ventures, Bain Capital, Databricks, NVIDIA, Microsoft, and IBM.
Our open-source toolkit has been downloaded 52M+ times and is used by 66,000+ companies, including nearly half of the Fortune 500. We power production AI workflows across commercial and federal sectors—transforming PDFs, HTML, Word docs, images, emails, and more into AI-ready data pipelines that scale.
We’re not just building tools, we’re building the backbone of generative AI and the infrastructure that unlocks intelligence across industries.
Unstructured is looking for Staff and Principal Software Engineers to define the architectural foundation for how enterprises process and transform unstructured data for large-language-model (LLM) applications.
This is a high-impact, hands-on role for someone who thrives in deep systems work—someone who could write the book on Kubernetes, lives and breathes Python, and understands Postgres at the index and transaction-log level. You’ll own the technical direction for our core platform, guiding how data moves through every layer—from ingestion to transformation to retrieval.
You’ll partner closely with the Head of Engineering, Head of Infrastructure, and product leaders to ensure Unstructured’s systems are performant, resilient, and ready to support the next generation of AI-driven workloads.
Location(s) Preferred: San Francisco, Bay Area, San Jose, Seattle, Sacramento
What You’ll Own & Drive:
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.
What You Bring:
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.
Bonus Points
Experience building or scaling LLM-powered or RAG systems in production.
Familiarity with open-source orchestration frameworks, vector databases, or hybrid cloud infrastructure.
Contributions to open-source projects in Python, Kubernetes, or distributed systems.
Why You’ll Love It Here
You’ll be surrounded by smart, kind, low-ego people who genuinely enjoy building together. We invest in our team, with company offsites, best-in-tech swag, and the tools you need to do your best work, wherever you’re based.
The work itself is deeply meaningful. You’ll be at the center of some of the most exciting problems in AI today - tackling meaty, novel technical challenges that directly power real production systems used by thousands of companies, including nearly half of the Fortune 500.
We support you holistically, not just at work. From day-one medical, dental, and vision coverage (plus life and disability insurance), to unlimited PTO, flexible parental leave, 401(k) options, and competitive referral incentives, we want you focused on building, growing, and staying energized for the long haul.
Most importantly, we’re scaling fast. This is a chance to join early enough to build foundational technology, influence how we operate, and help shape the future of a company defining the next era of AI infrastructure.
If that sounds like your kind of team, we’d love to meet you.
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Own enterprise account growth for Zscaler’s higher education customers across the Southeast. Build executive relationships, develop long-term account strategies, collaborate with internal teams, align cloud security solutions to customer goals, and close new logos. The role requires full-cycle software or security sales experience, C-level engagement, strategic selling, channel partnerships, and familiarity with AI/ML and generative AI tools.
Top Skills:
Ai/MlCloud SecurityGenerative AiLlmsSaseZscaler Zero Trust Exchange
Cloud • Information Technology • Security • Software • Cybersecurity
Leads Zscaler’s AI Ethics and Human Impact program for people systems and workforce-related AI. Develops ethical frameworks, conducts Human Impact Assessments, independently evaluates and escalates AI risks, defines human-centered AI principles, and monitors global regulation. The role requires advanced AI/ML literacy, ethical reasoning, responsible AI expertise, executive influence, and the ability to translate complex ethical concepts for technical, legal, and business stakeholders.
Top Skills:
Artificial IntelligenceHr TechnologyMachine LearningPeople Analytics
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead the vision, strategy, and development of ServiceNow’s enterprise search, RAG, question-answering, and conversational AI products. Partner with engineering, ML research, UX, design, and other product teams to deliver customer-centric capabilities, measure relevance and business impact, and drive adoption across the platform. Manage and mentor a team of four or more Product Managers while securing executive alignment and guiding technically complex initiatives.
Top Skills:
Ai/MlConversational AiCoveoData IndexingElasticsearchEnterprise SearchGleanMoveworksRelevance RankingRetrieval-Augmented Generation (Rag)
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
