AI Product Security Engineer

Company OverviewDocusign 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).What you'll doAs an AI Product Security Engineer, you will lead the implementation of AI and data security practices within the product Software Development Lifecycle (SDL). You will collaborate closely with cross-functional teams to ensure secure-by-design principles are embedded in AI systems and data platforms, driving measurable security outcomes and supporting the organization's digital transformation.This position is an individual contributor role reporting to the Sr Director of AI & Data Security.ResponsibilityDesign, implement, and maintain security controls for AI/ML products and platformsCollaborate with AI/ML teams to implement secure model development practices, including secure training pipelines, data governance, and model monitoringConduct threat modeling, risk assessments, and security reviews of AI/ML systems, data pipelines, and APIsExperience integrating or building AI-powered tools to assist with vulnerability detection, code review, or threat modelingIdentify and mitigate vulnerabilities specific to AI/ML, such as adversarial attacks, data poisoning, and model inversionCollaborate with product, engineering, and data science teams to integrate security best practices into the AI/ML development lifecycleDevelop and enforce secure coding guidelines and review code for security vulnerabilitiesMonitor, detect, and respond to security incidents related to AI/ML productsStay up-to-date with the latest AI/ML security research, tools, and attack vectorsEducate and train internal teams on AI/ML security risks and mitigation strategiesJob DesignationHybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.What you bringBasic8+ years of experience in application or product security, with at least 1 year focused on AI/ML systemsExperience with AI/ML concepts, architectures, and frameworksExperience with secure software development practices and toolsExperience with common AI/ML security threats and mitigation techniquesExperience programming languages such as Python, Java, or C++Experience with cloud platforms (AWS, Azure, GCP) and securing cloud-based AI/ML deploymentsExperience secure software development practices, AI/ML model security, and data governanceExperience operationalizing security governance and compliance in complex environmentsDemonstrated ability to translate technical security risks into business context and actionable recommendationsPreferredExcellent communication and collaboration skills, with the ability to influence and educate stakeholders at all levelsBachelor's or Master's degree in Computer Science, I

Created: 2025-12-05