Sr. Product Manager, AI Security Strategy & Implementation

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

The Sr. Product Manager, AI Security Strategy & Implementation will be a senior, product-focused individual contributor responsible for shaping and implementing Docusign’s AI Security Strategy. A key member of our AI & Data Security team, the Lead will work across the Security team and with cross-functional business leaders to integrate AI security best practices into all business functions. In this role, you will spearhead initiatives that secure AI development pipelines, enable safe adoption of AI tools, and mitigate risks from adversarial or malicious use of AI. You will also drive data security programs focused on protecting company and customer data, ensuring proper governance and enabling secure access. Partnering with Engineering, Product, Security, Legal, IT, and Compliance teams, you will define and deliver programs that safeguard AI models, data, and AI-enabled platforms, bridging program delivery, risk management, and emerging AI and data security practices.

 

This position is an individual contributor role reporting to the Group Vice President, Chief Information Security Officer.

 

Responsibility

• Develop and execute the organization’s AI and data security strategies, aligning with overall business objectives, digital transformation initiatives, and product and enterprise security requirements

• Contribute on a high-performing, product-driven team focused on measurable outcomes and continuous improvement

• Work in close partnership with security engineers within the AI & Data Security team; Security teammates within product security, enterprise security, and detect and respond; and cross-functional leaders across the business

• Define, deliver, and continuously evolve AI security best practices

• Collaborate with AI/ML teams to implement secure model development practices, including secure training pipelines, data governance, and model monitoring

• Operationalize governance and guardrails for AI/ML tool adoption, ensuring safe and compliant use across the organization

• Support related data security programs, ensuring security best practices, resilience, and regulatory compliance in how AI/ML data is collected, stored, processed, and leveraged

• Partner with Product, Engineering, and Security leaders to embed secure by design and default principles into AI/ML systems, data platforms, and product workflows

• Translate technical risk into business impact, providing clear updates, trade-off discussions, and recommendations to executives

• Ensure products meet internal security standards, industry frameworks, and regulatory requirements

• Define measurable success criteria and report outcomes to leadership

 

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

• 12+ years in AI and data security or related security disciplines

• Bachelor’s degree in computer science, data science, artificial intelligence, machine learning, cybersecurity, risk management, or a related technical field

• Experience leading or managing AI and data security programs

• Experience with product security, including secure development lifecycle and CI/CD best practices, AI/ML risks, secure coding practices, and software supply chain risk mitigation

• Experience with enterprise security, including risk mitigation and governance of AI/ML when developed or used for business objectives and AI and data security best practices for CRM, ERP, H