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).

We are seeking a talented and proactive AI Security Operations Engineer to join our team. This position is focused on defending the organization against AI-enabled threats and leveraging AI to enhance our defensive capabilities. You will act as the bridge between AI security and our operational defense teams (CSIRT, Detection amp; Response, and Threat Intelligence).

In this role, you will analyze how adversaries utilize AI to attack the enterprise, ranging from AI-enhanced phishing and deepfakes to automated vulnerability scanning, and design defenses to mitigate these risks. You will also work to implement AI-powered tooling that improves the speed and efficacy of our threat detection and response workflows.

This position is an individual contributor role reporting to the Sr Director of AI & Data Security.

Responsibility

• Monitor the threat landscape for emerging adversarial AI tactics, techniques, and procedures (TTPs) used by attackers against enterprises

• Collaborate with the Detection and Response teams to develop playbooks and detection logic for AI-enabled attacks, such as deepfakes, voice cloning, and AI-generated social engineering

• Conduct threat modeling and simulation exercises to test the organization's resilience against AI-driven attacks

• Evaluate and implement AI-powered security tools to enhance security operations center (SOC) automation, anomaly detection, and incident triage

• Analyze and mitigate risks associated with Shadow AI and unauthorized use of external AI tools by employees that may introduce threat vectors

• Partner with Threat Intelligence teams to track threat actors leveraging LLMs for code generation, exploit development, or reconnaissance

• Develop countermeasures for adversarial machine learning attacks (e.g., evasion, extraction)

• Define and track measurable security outcomes related to AI threat defense and report progress to leadership

• Translate technical AI security risks into business impact and communicate recommendations to operational stakeholders

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.

Basic

• 8+ years of experience in information security, with a focus on Incident Response, Threat Intelligence, or Security Operations (SOC)

• Experience or strong understanding of how AI/ML is used in offensive cyber operations (e.g., automated phishing, exploit generation)

• Experience with the MITRE ATLAS framework (Adversarial Threat Landscape for Artificial-Intelligence Systems) and MITRE ATT&CK

• Experience with scripting languages such as Python, Go, or PowerShell for security automation

• Experience with SIEM, SOAR, and EDR platforms, and an understanding of how to integrate AI/ML models into these workflows

• Experience with adversarial machine learning concepts (e.g., data poisoning, model inversion, evasion attacks)

• Demonstrated ability to translate technical security risks into business context and actionable recommendations

Preferred

• Excellent communication and collaboration skills, with the ability to influence technical and non-technical stakeholders

• Bachelor’s or Master’s degree in Computer Science, Information Security, or a related field

• Certifications: GCIH, GCTI, CISSP, or AI-specific security certifications

• Experience dealing with deepfake detection technologies and media authentication standards

• Experience with Red Teaming AI systems or conducting adversarial simulations

• Knowledge of frameworks such as NIST AI RMF, ISO 42001, and NIST CSF

• Experience driving automation strategies, predictive analytics, and data-driven insights

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

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

This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

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.

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