Director, Security Products – Key Management

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

📋 Description

• Report directly to the VP, Deputy CISO while collaborating with the Security Data Science and Security leadership teams.

• Spearhead DigitalOcean's engagement with the broader AI security community.

• Act as the internal authority and escalation point for AI-related security risks.

• Define the integration of AI security controls within customer-facing products.

• Develop, deploy, and manage in-house AI/ML models, including guardrails, tools, and automations.

• Oversee the monitoring of deployed models for drift, assess their performance, and implement enhancements.

• Direct adversarial testing and AI red teaming efforts, which include jailbreaking, prompt injection, evasion, and poisoning tests.

• Conduct security reviews of significant AI product initiatives while providing architectural approvals and escalation recommendations.

• Execute threat modeling throughout the AI lifecycle.

• Take ownership of DigitalOcean's AI Security strategy and long-term roadmap.

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

• Represent AI security matters during executive and board-level briefings.

• Establish DigitalOcean's stance on emerging topics within AI security.

⛳️ Requirements

• Over 10 years of experience in the field of cybersecurity.

• Minimum of 4–5 years dedicated to AI/ML security, adversarial machine learning, or security data science within a production cloud or technology setting.

• Proven track record of defining and steering AI or security initiatives at an organizational scale.

• Practiced knowledge of adversarial ML attacks and defenses, including evasion, poisoning, model extraction, membership inference, and prompt injection.

• Ability to assess academic AI security research and translate findings into engineering guidance and organizational policies.

• Experience in engaging with executive and senior leadership audiences regarding technical risks.

• Strong programming capabilities in Python and Go.

• Background in building security tools and automation processes.

• Proficient in reviewing AI/ML system architectures.

• Hands-on experience with AI red-team initiatives, defensive tools, and model supply-chain frameworks.

• 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 in a cloud provider, security product firm, or 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 pursuits.

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

• Employee Assistance Program offered.

• Opportunities for local employee meetups.

• Flexible time-off policy in place.

• Eligibility for bonuses based on both company and individual performance.

• Equity compensation, including equity grants upon hiring.

• Option to join the Employee Stock Purchase Program.

• Competitive benefits package, tailored to local regulations and employee preferences.