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Unstructured TechnologiesUT

Security Application Engineer

Unstructured.io is a company that specializes in transforming unstructured data from various formats into LLM-ready data, enabling enterprises to leverage their internal data for AI applications.

Unstructured Technologies

Employee count: 51-200

United States only
At Unstructured, we’re building the data infrastructure that powers next-generation LLM and RAG applications. Security is core to that mission — our customers trust us with their most sensitive data, and we take that responsibility seriously.
We’re looking for a Senior or Staff-level Application Security Engineer to help lead and scale our AppSec program. In this role, you’ll own key security initiatives, partner closely with engineering and product teams, and guide junior team members while remaining deeply hands-on with code reviews, automation, and threat modeling.

What You’ll Do

Lead security architecture and threat modeling efforts for high-impact features and services.
Perform deep, security-focused code reviews and guide development teams in remediation best practices.
Build and maintain automated security testing and developer enablement tooling that scales with the org.
Partner with engineering leadership to embed security into the SDLC and promote a secure-by-default culture.
Act as a technical mentor to junior AppSec engineers and partner teams.
Lead incident response and post-mortems for application security issues.
Drive security documentation, training, and best practices for developers across the company.
Support cross-functional security initiatives with product, infrastructure, and compliance teams.
Provide light people management (mentorship, feedback, and possibly managing 1–2 junior engineers as the team grows).

What You’ll Bring

5+ years of AppSec or product security experience, with at least 2 years in a senior or leadership capacity.
Proven track record of leading security reviews, threat modeling, or architecture reviews in production environments.
Deep knowledge of common vulnerabilities and mitigations (OWASP Top 10, SANS CWE, etc.).
Experience with security tools and libraries (SAST, DAST, dependency scanning, penetration testing).
Proficiency in at least one modern programming language (Python, Go, or JavaScript preferred) and scripting experience.
Strong understanding of cloud-native environments (AWS, GCP, Kubernetes) and securing CI/CD pipelines.
Excellent communication and stakeholder management skills, able to translate security concerns into actionable guidance.

Nice-to-Haves

Experience building or scaling security programs in a startup or high-growth environment.
Background in securing AI, ML, or data-intensive applications.
Experience managing bug bounty or responsible disclosure programs.
Prior experience with team management or mentoring.

Who You Are

A strategic thinker who can balance technical depth with business needs.
A collaborative leader who enjoys guiding others while staying hands-on.
Someone who thrives in a fast-paced, high-growth environment and can drive initiatives independently.

Why Unstructured

Shape the security roadmap of a company at the forefront of AI and data infrastructure.
Collaborate with world-class engineers and leaders on mission-critical initiatives.
Competitive compensation, equity, and benefits

About the job

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Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

United States +/- 0 hours

About Unstructured Technologies

Learn more about Unstructured Technologies and their company culture.

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Unstructured addresses a significant challenge many enterprises face: leveraging their vast amounts of unstructured data for use with large language models (LLMs) and other AI applications. Customers often struggle with data in various formats like PDFs, Word documents, PowerPoint presentations, HTML files, images, and more, which are not readily usable by machine learning models. This is where Unstructured steps in, providing solutions to automate the preprocessing of this messy, human-generated data. Our platform transforms raw data into clean, structured formats, making it compatible with LLMs for tasks such as fine-tuning, pre-training, and Retrieval Augmented Generation (RAG).

Our customers need to unlock the potential of their internal data to enhance productivity, drive innovation, and gain actionable intelligence. Unstructured offers open-source libraries and commercial API products designed to simplify and accelerate this data transformation process. We enable organizations to connect their enterprise data, regardless of file type or layout, to LLMs efficiently. This means data scientists and engineers no longer need to spend the majority of their time on the laborious task of data preprocessing, which traditionally involves building custom, brittle pipelines for each data type. By providing robust tools for data ingestion, partitioning, cleaning, and staging, Unstructured empowers businesses to build powerful AI applications based on their own specific, high-quality data, rather than relying solely on generic, pre-trained models. This allows for more accurate, relevant, and secure AI-driven insights and workflows.

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Unstructured Technologies

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Unstructured Technologies hiring Security Application Engineer • Remote (Work from Home) | Himalayas