Director, Security Products – Key Management

This is a fully remote position, open to applicants in Washington.

📋 Description

• Collaborate with leadership in Product Security and Engineering to establish AI security measures for customer-facing products.

• Develop, implement, and manage internal AI/ML models, guardrails, tools, and automation processes.

• Oversee the performance of deployed models, monitor for drift, and execute enhancements.

• Direct adversarial testing and AI red teaming efforts, encompassing jailbreaking, prompt injection, evasion, and poisoning evaluations.

• Spearhead security assessments of significant AI product initiatives from conception to launch.

• Provide architectural approvals and guidance for high-risk decisions.

• Perform threat modeling throughout the AI lifecycle.

• Lead and advance DigitalOcean’s AI Security strategy and multi-year roadmap.

• Design and manage the AI Risk & Governance framework across DigitalOcean and Cloudways.

• Represent AI security in briefings for executive and board-level audiences.

• Articulate DigitalOcean’s stance on emerging topics in AI security.

⛳️ Requirements

• Over 10 years of experience in cybersecurity, with at least 4–5 years dedicated to AI/ML security, adversarial machine learning, or security data science in a cloud or technology setting.

• Proven ability to define and lead AI or security initiatives at an organizational level.

• Extensive practitioner-level expertise in adversarial ML attacks and defenses, including evasion, poisoning, model extraction, membership inference, and prompt injection.

• Capability to evaluate and integrate academic AI security research into engineering directives and organizational policies.

• Experience interacting with executive and senior leadership on technical risk matters.

• Strong programming proficiency in Python and Go.

• Skilled in reviewing and assessing AI/ML system architectures.

• Practical experience with AI red teaming, defensive strategies, and model supply chain tools.

• Bachelor’s or Master’s degree in Computer Science, Information Security, Mathematics, or a related field, or equivalent practical experience.

• Familiarity with OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, and the EU AI Act.

• Previous experience with a cloud provider, security product company, or a large-scale internet platform.

• Knowledge of production LLM security, including RAG pipelines, agentic frameworks, and model APIs.

🏝️ Benefits

• Reimbursement for relevant conferences, training, and educational opportunities.

• Access to over 10,000 courses on LinkedIn Learning.

• Employee Assistance Program.

• Local employee meetups.

• Flexible time off policy.

• Bonus eligibility based on both company and individual performance.

• Equity compensation, including equity grants upon hiring.

• Opportunity to participate in the Employee Stock Purchase Program.