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Director, Security Products: Key Management

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Director, Security Products: Key Management in USA new

  • DigitalOcean
  • Full time
  • Email
  • Austin, TX

Responsibilities

  • Define and drive DigitalOcean’s AI Security strategy, investment priorities, and multi-year roadmap.
  • Partner with Product Security, Engineering, Security Data Science, and Security Engineering to integrate AI security controls into customer-facing products.
  • Build, deploy, monitor, and improve AI/ML security models, guardrails, tooling, and automations.
  • Lead adversarial testing and AI red teaming, including jailbreaking, prompt injection, evasion, and poisoning assessments.
  • Conduct security reviews and provide architectural sign-off and escalation guidance for major AI product initiatives.
  • Threat model the AI lifecycle across data ingestion, training, fine-tuning, evaluation, model serving, RAG, agent frameworks, and post-deployment monitoring.
  • Establish policies, standards, and controls for responsible AI/ML development, deployment, and monitoring.
  • Represent AI security in executive and board-level briefings and translate technical risks into business impact.
  • Define organizational positions on agentic AI, model supply-chain risk, synthetic data integrity, and AI-enabled social engineering.

Requirements

  • 10+ years of cybersecurity experience, including 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 experience defining and driving AI or security programs and owning organizational strategy.
  • Practitioner-level expertise in adversarial ML attacks and defenses, including evasion, poisoning, model extraction, membership inference, and prompt injection.
  • Ability to evaluate AI security research and translate it into engineering guidance and organizational policy.
  • Experience communicating technical risk to executives and senior leadership and justifying investment decisions.
  • Strong programming skills in Python and Go, with experience building security tooling, adversarial testing, detection, and guardrail capabilities.
  • Experience reviewing AI/ML architectures involving 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 practical experience.
  • Fluency in OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
  • Experience at a cloud provider, security product company, or large-scale internet platform operating AI/ML systems at significant customer-facing scale.
  • Familiarity with production LLM security, including securing RAG pipelines, agentic frameworks, and model APIs against prompt injection, jailbreaking, and data exfiltration.

Benefits

  • Remote role.
  • Competitive benefits that vary by local regulations and preferences, including an Employee Assistance Program, local employee meetups, and flexible time off.
  • Reimbursement for relevant conferences, training, and education, plus access to LinkedIn Learning courses.
  • Potential bonus in addition to base salary and equity compensation for eligible employees, including equity grants upon hire and an Employee Stock Purchase Program.

Salary: $230k - $288k/yr

DigitalOcean

DigitalOcean is the AI-Native Cloud purpose-built for the inference and agentic era. Its five-layer integrated platform—spanning GPU and CPU infrastructure, core cloud, inference, data, and managed agent orchestration—is open throughout with no vendor lock-in, giving builders everything they need...

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