Security Intern

Docusign • San Francisco, CA

6d • Hybrid

About The Position

Docusign’s Security organization develops and operates scalable technology and data solutions focused on trust and reliability. The organization embraces Agile principles, DevSecOps practices, and infrastructure as code to support the company’s growth. As part of the AI and Data Security team, the intern will help secure Docusign’s intelligent agreement management platform and its AI-powered solutions and business-critical data. Working with senior leaders and engineers, the intern will contribute to secure-by-design frameworks for AI development pipelines, improve security tooling, and test AI-powered tools and models for vulnerabilities. The intern will own a core project in either AI Security Tooling or AI Offensive Security, from scoping through stakeholder handoff. This is a three-month internship and an individual contributor role reporting to the Sr. Director, AI & Data Security. The position is hybrid, requiring at least two days per week in an office.

Requirements

• Currently pursuing a bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Engineering, Cybersecurity, or a related field, with expected graduation in December 2027 or May/June 2028.
• Demonstrated development experience in one or more of Python (preferred), Java, or C#.
• Experience with common AI/ML security threats, such as prompt injection, adversarial attacks, data poisoning, or model inversion.
• Experience in AI automation, system integrations, and/or offensive security testing methodologies.
• Experience with data loss prevention (DLP) and data security posture management (DSPM).
• Must already be authorized to work in the United States on a full-time, permanent basis without current or future sponsorship; the role is not eligible for CPT, OPT, or sponsorship.

Nice To Haves

• Hands-on experience with red teaming, penetration testing, CTFs, or bug bounty programs, especially involving LLMs or AI applications.
• Experience building with LLM APIs, AI agents, or automation frameworks.
• Experience with 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.
• Clear, concise, and articulate communication skills in speech and writing.
• Enthusiasm for exploring new attack methodologies and security solutions for AI/ML systems.

Responsibilities

• Support optimization of security tooling, including AI guardrails, and evaluate how traditional security controls integrate with AI-centric protections.
• Participate in testing new AI models and tools, identifying, validating, and helping remediate vulnerabilities in partnership with Engineering, Product, and Legal stakeholders.
• Map security workflows, identify opportunities for improvement, and build automation or agentic solutions to scale the program.
• Create and maintain documentation on testing, methodologies, and identified vulnerabilities.
• Track security KPIs using a data-driven approach; design test cases and validation plans; and build documentation and dashboards to communicate program impact to leadership.
• Share progress at an organization-wide Security Demo and present the final project, recommendations, and business impact to stakeholders.
• Own a core project in either AI Security Tooling or AI Offensive Security, from scoping through stakeholder handoff.

Benefits

• Paid time off and paid company holidays, based on region.
• Paid parental leave of up to six months following birth, adoption, or foster care placement.
• Health benefit plans, including options with 100% employer-paid premiums and plans with minimum employee contributions, from day one of employment.
• Retirement and pension programs, with potential employer contributions.
• Learning and development options, including coaching, online courses, and education reimbursements.
• Paid compassionate care leave following the loss of a loved one and other life-changing events.

What This Job Offers

• Career Level: Intern