[Hiring] Director, Security Products: Key Management @DigitalOcean

Role Description

We are looking for a Principal Engineer, AI/ML Security who is passionate about securing AI systems and operationalizing ML-powered security at cloud scale.

In this role, you will report to the VP, Deputy CISO and partner closely with Security Data Science and Security leadership teams. You will lead DigitalOcean’s engagement with the external AI security community and serve as our internal expert and escalation point for all AI-related security risk.

• Partner with Product Security and Engineering leadership to define how AI security controls are integrated into DigitalOcean’s customer-facing products.
• Partner with Security Data Science and Security Engineering to build, deploy, and serve in-house AI/ML models, guardrails, tooling, and automations.
• Participate in ongoing monitoring of deployed models to detect drift, evaluate performance, and plan and implement improvements alongside model stakeholders.
• Lead adversarial testing and AI red teaming, including jailbreaking, prompt-injection, evasion, and poisoning testing.
• Lead security reviews of major AI product initiatives from design through launch, providing architectural sign-off and escalation guidance for high-risk decisions.
• Threat modeling across the AI lifecycle: data ingestion, training/fine-tuning, evaluation, model serving, RAG, agent frameworks, and post-deployment monitoring.
• Own and drive DigitalOcean’s AI Security strategy and multi-year roadmap, defining where we invest, what risks we prioritize, and how AI security evolves as the threat landscape and product portfolio change.
• Architect and lead the AI Risk & Governance framework: establishing policies, standards, and controls for the responsible development, deployment, and monitoring of AI/ML systems across DigitalOcean and Cloudways.
• Represent AI security at executive and board-level briefings; communicate risk posture, program progress, and strategic decisions to the CISO and senior leadership in clear, business-contextualised terms.
• Define DigitalOcean’s position on emerging AI security topics including agentic AI, model supply chain risk, synthetic data integrity, and AI-enabled social engineering.

Qualifications

• 10+ years of experience in cybersecurity, with at least 4–5 years focused on AI/ML security, adversarial machine learning, or security data science in a production cloud or technology environment.
• Demonstrated track record of defining and driving AI or security programs at an organizational level — not just executing within them.
• Deep, practitioner-level knowledge of adversarial ML attack and defence: evasion, poisoning, model extraction, membership inference, and prompt injection at both conceptual and implementation depth.
• Ability to read, evaluate, and synthesise academic AI security research and translate it into concrete engineering guidance and organizational policy.
• Experience engaging executive and senior leadership audiences on technical risk.
• Strong programming skills in Python and Go with a track record of building security tooling and automation.
• Proficiency reviewing and critiquing AI/ML system architecture made by ML engineers and data scientists.
• Hands-on experience with AI red-team and defensive tooling and with model supply-chain frameworks.
• Bachelor’s or Master’s degree in Computer Science, Information Security, Mathematics, or a related field — or equivalent depth of practical experience.
• Fluency in OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
• Prior experience in a cloud provider, security product company, or large-scale internet platform where AI/ML systems operate at significant customer-facing scale.
• Familiarity with LLM security in production: securing RAG pipelines, agentic frameworks, and model APIs against prompt injection, jailbreaking, and data exfiltration.

Requirements

• Compensation Range: $230,400 - $288,000
• This is a remote role.
• JR: 2026-7824
• #LI-Remote

Benefits

• Competitive array of benefits to support employee well-being.
• Reimbursement for relevant conferences, training, and education.
• Access to LinkedIn Learning's 10,000+ courses for continued growth and development.
• Flexible time off policy.
• Equity compensation to eligible employees, including equity grants upon hire and participation in the Employee Stock Purchase Program.

Company Description

DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period.