Docusign
Sr. Product Manager, AI Security Strategy & Implementation
Docusign, San Francisco, California, United States, 94199
Overview
Lead, AI Security, Strategy, and Implementation role at Docusign. Senior, product-focused individual contributor responsible for shaping and implementing Docusign’s AI Security Strategy. A key member of the AI & Data Security team, working with cross-functional partners to integrate AI security best practices across business functions. Responsibilities
Develop and execute the organization’s AI and data security strategies, aligning with 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 Collaborate with security engineers within the AI & Data Security team; security teams across product and enterprise security; and cross-functional leaders across the business Define, deliver, and continuously evolve AI security best practices Work 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 to ensure safe and compliant use Support 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 secure-by-default principles into AI/ML systems, data platforms, and product workflows Translate technical risk into business impact, providing updates and recommendations to executives Ensure products meet internal security standards, industry frameworks, and regulatory requirements Define measurable success criteria and report outcomes to leadership 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 related field Experience leading or managing AI and data security programs Experience with product security, secure development lifecycle and CI/CD practices, AI/ML risks, secure coding, and software supply chain risk mitigation Experience with enterprise security, including governance of AI/ML when developed or used for business objectives and AI and data security best practices for CRM, ERP, HRM, and other workflows Experience addressing threats from malicious use of AI/ML and collaborating with threat intelligence, CSIRT, PSIRT, Product, and Engineering teams Experience in data governance and security, including frameworks, identity and access management, attack surface management, and data loss prevention Experience defining security KPIs, metrics pipelines, and executive reporting Preferred
Excellent stakeholder management and communication skills across technical and business audiences Strong cross-functional collaboration with Product, Engineering, Data, Privacy, and executive teams Master’s degree or higher 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 Job details
Hybrid:
Employee divides time between in-office and remote work. Access to an office location is required (Minimum 2 days per week; weekly in-office expectation varies by team). Positions at Docusign may be In Office, Hybrid, or Remote. Designations are role-specific and subject to change based on business needs. Compensation and benefits
Wage Transparency: Pay ranges vary by location and experience. Example ranges include: California: base salary $177,900.00 – $287,425.00 Washington, Maryland, New Jersey, New York (incl. NYC metro): base salary $170,900.00 – $251,325.00 Role bonuses and equity:
Eligible for company bonus plans and RSUs, where applicable. Benefits:
Global benefits including paid time off, parental leave, health plans, retirement plans, learning and development, and compassionate care leave. Equal opportunity and accommodations
Docusign is an Equal Opportunity Employer. We provide reasonable accommodations in the application process for qualified individuals with disabilities or religious accommodations. For accommodations, contact accommodations@docusign.com. For application assistance, contact taops@docusign.com. EEO policies and privacy notices apply as described in the job posting.
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Lead, AI Security, Strategy, and Implementation role at Docusign. Senior, product-focused individual contributor responsible for shaping and implementing Docusign’s AI Security Strategy. A key member of the AI & Data Security team, working with cross-functional partners to integrate AI security best practices across business functions. Responsibilities
Develop and execute the organization’s AI and data security strategies, aligning with 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 Collaborate with security engineers within the AI & Data Security team; security teams across product and enterprise security; and cross-functional leaders across the business Define, deliver, and continuously evolve AI security best practices Work 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 to ensure safe and compliant use Support 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 secure-by-default principles into AI/ML systems, data platforms, and product workflows Translate technical risk into business impact, providing updates and recommendations to executives Ensure products meet internal security standards, industry frameworks, and regulatory requirements Define measurable success criteria and report outcomes to leadership 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 related field Experience leading or managing AI and data security programs Experience with product security, secure development lifecycle and CI/CD practices, AI/ML risks, secure coding, and software supply chain risk mitigation Experience with enterprise security, including governance of AI/ML when developed or used for business objectives and AI and data security best practices for CRM, ERP, HRM, and other workflows Experience addressing threats from malicious use of AI/ML and collaborating with threat intelligence, CSIRT, PSIRT, Product, and Engineering teams Experience in data governance and security, including frameworks, identity and access management, attack surface management, and data loss prevention Experience defining security KPIs, metrics pipelines, and executive reporting Preferred
Excellent stakeholder management and communication skills across technical and business audiences Strong cross-functional collaboration with Product, Engineering, Data, Privacy, and executive teams Master’s degree or higher 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 Job details
Hybrid:
Employee divides time between in-office and remote work. Access to an office location is required (Minimum 2 days per week; weekly in-office expectation varies by team). Positions at Docusign may be In Office, Hybrid, or Remote. Designations are role-specific and subject to change based on business needs. Compensation and benefits
Wage Transparency: Pay ranges vary by location and experience. Example ranges include: California: base salary $177,900.00 – $287,425.00 Washington, Maryland, New Jersey, New York (incl. NYC metro): base salary $170,900.00 – $251,325.00 Role bonuses and equity:
Eligible for company bonus plans and RSUs, where applicable. Benefits:
Global benefits including paid time off, parental leave, health plans, retirement plans, learning and development, and compassionate care leave. Equal opportunity and accommodations
Docusign is an Equal Opportunity Employer. We provide reasonable accommodations in the application process for qualified individuals with disabilities or religious accommodations. For accommodations, contact accommodations@docusign.com. For application assistance, contact taops@docusign.com. EEO policies and privacy notices apply as described in the job posting.
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