Docusign
From Docusign's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
What you'll do The Docusign Security organization is in the business of trust and reliability.
Company Overview Docusign brings agreements to life. More than 1.8 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 the Docusign AI-native IAM 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 do The Docusign Security organization is in the business of trust and reliability. We create, maintain, and operate scalable technology and data solutions that deliver an exceptional experience for our internal and external customers. We embrace Agile principles and values, favor DevSecOps practices, and view infrastructure as code, all while we create processes, services, and capabilities that scale and support our growth and ambitious vision. This requires a smart, highly collaborative team who can identify, investigate, and implement new technologies to continue securely scaling our global business. 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 brings together the security landscapes of AI and Data, giving you a front-row seat to how we protect AI-powered solutions 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, drive improvements in our security tooling, and test for vulnerabilities in AI-powered tools and models. You will own a core project in one of two tracks, AI Security Tooling or AI Offensive Security, and see it through from scoping to stakeholder handoff. This is an internship role for 3 months of duration. This position is an individual contributor role reporting to the Sr. Director, AI & Data Security. Responsibility Support the optimization of security tooling, including AI guardrails, and help evaluate how traditional security controls integrate with new AI-centric protections to ensure safe and compliant use across the organization Participate in the testing program for new AI models and tools, helping identify, validate, and remediate vulnerabilities in what we deploy, and partnering with stakeholders in Engineering, Product, and Legal Map current security workflows, identify improvement opportunities, and build automation or agentic solutions that make our program more scalable Create and maintain documentation on completed testing, methodologies, and identified vulnerabilities Take a data-driven approach to tracking security KPIs, designing test cases and validation plans, and building documentation and dashboards that communicate the impact of AI and data security programs to leadership Share progress at an org-wide Security Demo and present your final project, recommendations, and business impact to stakeholders Job Designation Hybrid: 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 bring Basic Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, Cybersecurity, or a related field, with an expected graduation date of December 2027 or May/June 2028 Demonstrated development experience in one or more of the following: Python (preferred), Java, or C# Experience with common AI/ML security threats (e.g., prompt injection, adversarial attacks, data poisoning, 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) This role is not eligible for CPT, OPT or sponsorship now or in the future Preferred 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 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 A clear communicator who is concise and articulate in both speech and writing Excited about exploring new attack methodologies and security solutions for AI/ML systems Wage Transparency Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the below details pay ranges in the following locations: California: $39/hour - $51/hour Global benefits provide options for the following: Paid Time Off: earned time off, as well as paid company holidays based on region Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment Retirement Plans: select retirement and pension programs with potential for employer contributions Learning and Development: options for coaching, online courses and education reimbursements Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. Applicant and Candidate Privacy Notice States Not Eligible for Employment This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming. Equal Opportunity Employer It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category. EEO Know Your Rights poster #LI-Hybrid #LI-HP1 The Docusign Security organization is in the business of trust and reliability. We create, maintain, and operate scalable technology and data solutions that deliver an exceptional experience for our internal and external customers. We embrace Agile principles and values, favor DevSecOps practices, and view infrastructure as code, all while we create processes, services, and capabilities that scale and support our growth and ambitious vision. This requires a smart, highly collaborative team who can identify, investigate, and implement new technologies to continue securely scaling our global business. 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 brings together the security landscapes of AI and Data, giving you a front-row seat to how we protect AI-powered solutions 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, drive improvements in our security tooling, and test for vulnerabilities in AI-powered tools and models. You will own a core project in one of two tracks, AI Security Tooling or AI Offensive Security, and see it through from scoping to stakeholder handoff. This is an internship role for 3 months of duration. This position is an individual contributor role reporting to the Sr. Director, AI & Data Security. Responsibility Support the optimization of security tooling, including AI guardrails, and help evaluate how traditional security controls integrate with new AI-centric protections to ensure safe and compliant use across the organization Participate in the testing program for new AI models and tools, helping identify, validate, and remediate vulnerabilities in what we deploy, and partnering with stakeholders in Engineering, Product, and Legal Map current security workflows, identify improvement opportunities, and build automation or agentic solutions that make our program more scalable Create and maintain documentation on completed testing, methodologies, and identified vulnerabilities Take a data-driven approach to tracking security KPIs, designing test cases and validation plans, and building documentation and dashboards that communicate the impact of AI and data security programs to leadership Share progress at an org-wide Security Demo and present your final project, recommendations, and business impact to stakeholders Basic Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, Cybersecurity, or a related field, with an expected graduation date of December 2027 or May/June 2028 Demonstrated development experience in one or more of the following: Python (preferred), Java, or C# Experience with common AI/ML security threats (e.g., prompt injection, adversarial attacks, data poisoning, 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) This role is not eligible for CPT, OPT or sponsorship now or in the future Preferred 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 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 A clear communicator who is concise and articulate in both speech and writing Excited about exploring new attack methodologies and security solutions for AI/ML systems
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