AI Product Security Engineer
DocuSign
AI Product Security Engineer
- Location
- US-WA-Seattle
- Category
- Security
- Position Type
- Regular
Company Overview
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).
What you'll do
As 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.
Responsibility
Design, implement, and maintain security controls for AI/ML products and platforms
Collaborate with AI/ML teams to implement secure model development practices, including secure training pipelines, data governance, and model monitoring
Conduct threat modeling, risk assessments, and security reviews of AI/ML systems, data pipelines, and APIs
Experience integrating or building AI-powered tools to assist with vulnerability detection, code review, or threat modeling
Identify and mitigate vulnerabilities specific to AI/ML, such as adversarial attacks, data poisoning, and model inversion
Collaborate with product, engineering, and data science teams to integrate security best practices into the AI/ML development lifecycle
Develop and enforce secure coding guidelines and review code for security vulnerabilities
Monitor, detect, and respond to security incidents related to AI/ML products
Stay up-to-date with the latest AI/ML security research, tools, and attack vectors
Educate and train internal teams on AI/ML security risks and mitigation strategies
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
8+ years of experience in application or product security, with at least 1 year focused on AI/ML systems
Experience with AI/ML concepts, architectures, and frameworks
Experience with secure software development practices and tools
Experience with common AI/ML security threats and mitigation techniques
Experience programming languages such as Python, Java, or C++
Experience with cloud platforms (AWS, Azure, GCP) and securing cloud-based AI/ML deployments
Experience secure software development practices, AI/ML model security, and data governance
Experience operationalizing security governance and compliance in complex environments
Demonstrated ability to translate technical security risks into business context and actionable recommendations
Preferred
Excellent communication and collaboration skills, with the ability to influence and educate stakeholders at all levels
Bachelor’s or Master’s degree in Computer Science, Information Security, or a related field
Excellent stakeholder management and communication skills across technical and business audiences
Strong cross-functional collaboration and stakeholder management skills, especially with Product, Engineering, Data, Privacy, and executive teams
Excellent collaboration and communication management skills across technical and non-technical audiences
Experience with exploiting common security vulnerabilities
Knowledge of common exploit mitigations and how they work
Coding and scripting experience in one or more general purpose languages
Certifications: CAIP, CISM, CRISC, CISSP, CCSP, or equivalent
Familiarity with attack surface monitoring, supply chain security, and continuous control validation
Experience driving automation strategies, predictive analytics, and data-driven insights
Knowledge of frameworks such as NIST CSF, NIST AI RMF, ISO 27001, ISO 42001, FAIR, SOC 2, and FedRAMP
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:
Washington, Maryland, New Jersey and New York (including NYC metro area): $151,200.00 - $222,450.00 base salary
This role is also eligible for the following:
- Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
- Stock: This role is eligible to receive Restricted Stock Units (RSUs).
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
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.
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.
EEO Statement
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.