Director, Security Products – Key Management

Job Description:

  • Report to the VP, Deputy CISO
  • Partner with Security Data Science and Security leadership teams
  • Lead DigitalOcean’s engagement with the external AI security community
  • Serve as the internal expert and escalation point for AI-related security risk
  • Define integration of AI security controls into customer-facing products
  • Build, deploy, and serve in-house AI/ML models, guardrails, tooling, and automations
  • Monitor deployed models for drift and performance, and implement improvements
  • 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
  • Provide architectural sign-off and escalation guidance for high-risk decisions
  • Threat model across the AI lifecycle, including data ingestion, training, evaluation, model serving, RAG, agent frameworks, and post-deployment monitoring
  • Own DigitalOcean’s AI Security strategy and multi-year roadmap
  • Architect and lead the AI Risk & Governance framework across DigitalOcean and Cloudways
  • Establish AI/ML policies, standards, and controls
  • Represent AI security in executive and board-level briefings
  • Communicate risk posture, program progress, and strategic decisions to the CISO and senior leadership
  • Define DigitalOcean’s position on emerging AI security topics

Requirements:

  • 10+ years of experience in cybersecurity
  • At least 4–5 years focused on AI/ML security, adversarial machine learning, or security data science in a production cloud or technology environment
  • Track record of defining and driving AI or security programs at an organizational level
  • Practitioner-level knowledge of adversarial ML attacks and defenses, including evasion, poisoning, model extraction, membership inference, and prompt injection
  • Ability to evaluate academic AI security research and translate it into engineering guidance and organizational policy
  • Experience engaging executive and senior leadership audiences on technical risk
  • Strong programming skills in Python and Go
  • Experience building security tooling and automation
  • Proficiency reviewing AI/ML system architecture, including data ingestion, feature engineering, training pipelines, model serving, and continuous monitoring
  • Hands-on experience with AI red-team and defensive tooling and 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 with significant customer-facing AI/ML scale
  • Familiarity with production LLM security, including RAG pipelines, agentic frameworks, and model APIs
  • Ability to secure systems against prompt injection, jailbreaking, and data exfiltration

Benefits:

  • Reimbursement for relevant conferences, training, and education
  • Access to LinkedIn Learning's 10,000+ courses
  • Employee Assistance Program
  • Local Employee Meetups
  • Flexible time off policy
  • Competitive benefits array, varying based on local regulations and preferences
  • Potential bonus based on company and individual performance
  • Equity compensation for eligible employees, including equity grants upon hire
  • Option to participate in the Employee Stock Purchase Program
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