Staff Software Engineer, Unstructured.io
More information about location
Data prepping for Large Language Models
Job no longer available
Data prepping for Large Language Models
21-100 employees
Job no longer available
More information about location
21-100 employees
Company mission
To give organizations access to all of their data.
Role
Who you are
- 7 to 10+ years of experience shipping production systems in high-growth, high-scale environments
- Deep technical experience in cloud-native systems (AWS/GCP/Azure), and distributed architectures
- Strong understanding of cloud security fundamentals (IAM, least privilege, secrets management, data protection) in modern distributed systems
- Hands-on experience designing and operating authentication and authorization systems, including OAuth 2.0, OIDC, SAML, JWT, and fine-grained access control models (RBAC/ABAC)
- Experience integrating with enterprise identity providers and directory services (e.g., LDAP, Active Directory, SCIM) in Kubernetes-based or cloud-native environments
- Proven track record of leading major technical initiatives, mentoring engineers, and shaping team culture
- Passion for performance, reliability, and elegant design
- Strong communication and leadership presence, you make others better
Desirable
- Experience in AI/ML systems, unstructured data, or real-time pipelines.Expertise in Kubernetes, IaC, or scaling SaaS infrastructure
- Strong background in security, privacy, and risk management, including token and session lifecycle management, secrets handling, auditability, data protection (encryption, masking, tokenization), and compliance with frameworks such as GDPR, CCPA/CPRA, and SOC 2
- Startup DNA — you thrive in fast-moving environments and love turning ambiguity into action
What the job involves
- We’re looking for a Staff Software Engineer to help define and deliver Unstructured’s enterprise-level featureset
- This team builds the critical features that enable large customers to securely onboard, operate, and scale on our platform identity and access controls, dashboards, usage metering, and billing
- In this role, you’ll set technical direction for high-impact initiatives, mentor engineers through complex problem spaces, and ensure our enterprise foundations are robust, extensible, and built for long-term growth
- Own the technical vision for some of the most complex and high-impact systems we build. Drive long-term architectural strategy that enables scale, performance, and simplicity
- Write production-ready code and lead projects that move the needle, while also mentoring engineers across the org. Set the standard for clean design, thoughtful abstractions, and scalable patterns
- Solve deep technical challenges that others shy away from, think orchestration at scale, data flow optimization, and AI-first infrastructure
- Align engineering, product, and go-to-market teams around a shared technical roadmap. Unblock teams, resolve architectural escalations, and help guide us through “one-way door” decisions
Our take
Unstructured.io is tackling a prevalent challenge in AI adoption - the difficulty of integrating complex, enterprise-sized data with Large Language Models (LLMs). The company's platform provides a solution by extracting and staging all data, even that which is in difficult-to-use formats, and making it compatible with LLMs.
Thus, the startup streamlines the time-consuming data preparation process, providing tools for otherwise complex tasks like removing unwanted elements, text concatenation, and Optical Character Recognition (OCR). It also tailors processing pipelines for specific document types, addressing a critical bottleneck in AI development workflows.
In enabling the seamless integration of LLMs with enterprise data, Unstructured's platform has the potential to unlock substantial productivity gains. As of March 2024, its open-source library has been download more than 6M times and by 2025, the total user base has grown significantly, with over 65,000 organizations now leveraging Unstructured tools. The company continues to develop its solution to the data-preparation bottleneck, a crucial component in meeting the evolving demands of enterprise-scale LLM deployments.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Mar 2024
$40m
SERIES B
Jul 2023
$20m
SERIES A
Total funding: $65m
Company HQ
SoMa, San Francisco, CA
Leadership
Brian S. Raymond
(Founder & CEO)Previously worked in Investment Banking at Harris Williams & Co. Prior to this they worked at The White House in the National Security Council and as an Intelligence Officer at the Central Intelligence Agency.
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