Security Intern

Docusign • San Francisco, CA

1d • $31 - $41 • Hybrid

About The Position

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). As part of the AI and Data Security team, you will play a critical role in securing the next generation of Docusign’s intelligent agreement management platform. This internship is unique in that it comingles the security landscapes of AI and Data, giving you a front-row seat to how we protect large language models (LLMs) and the business-critical data that powers them. You will work alongside senior leaders and engineers to help develop and implement "secure by design" frameworks for AI development pipelines and automated data protection. This is an individual contributor role where you will learn to bridge program delivery, risk management, and emerging AI security practices. This position is an individual contributor role reporting to the Sr. Director, AI & Data Security.

Requirements

• Currently pursuing a Bachelor’s or MS in Computer Science, Data Science, Cybersecurity, or a related technical field
• Development experience in one or more of the following: Python (preferred), Java, or C#
• Exposure to common AI/ML security threats (e.g., adversarial attacks, data poisoning, model inversion)
• Exposure to data loss prevention and data security posture management

Nice To Haves

• Clear communications skill with the ability to be concise and articulate in both speech and writing
• Excited about exploring new attack methodologies and security solutions for AI/ML systems
• Experience with cloud platforms (AWS, Azure, or GCP) and an interest in securing cloud-based AI deployments
• Understanding of the Software Development Lifecycle (SDLC) and CI/CD best practices
• Familiarity with data encryption standards and data governance frameworks

Responsibilities

• Support the operationalization of governance and guardrails for AI tool adoption, ensuring safe and compliant use across the organization
• Assist in deploying and maintaining technical controls for Data Loss Prevention (DLP) and Data Security Posture Management (DSPM), focusing on automated tagging and classification to identify and mitigate risks across cloud data stores
• Help maintain and update status pages for AI guardrail implementation work, providing stakeholders with a clear view of the testing and implementation progress
• Participate in the testing program for new AI models and tools, gaining insight into how we partner with cross-functional stakeholders in Engineering, Product, and Legal
• Take a data-driven approach to tracking security KPIs, creating documentation and dashboards to communicate the impact of AI and data security programs to leadership

What This Job Offers

• Career Level: Intern