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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
  • Boston, MA

Responsibilities

  • Define how AI security controls are integrated into customer-facing products.
  • Build, deploy, and monitor AI/ML security models, guardrails, tooling, and automations.
  • Lead adversarial testing, AI red teaming, and security reviews of AI product initiatives.
  • Threat model the AI lifecycle, including data ingestion, training, evaluation, model serving, RAG, agent frameworks, and monitoring.
  • Own the AI Security strategy, multi-year roadmap, and AI Risk & Governance framework.
  • Represent AI security risks, program progress, and strategic decisions to executives and the board.

Requirements

  • 10+ years of cybersecurity experience, including 4–5 years focused on AI/ML security, adversarial machine learning, or security data science.
  • Experience defining and driving AI or security programs at an organizational level and owning strategy.
  • Practitioner-level knowledge of 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 policy.
  • Experience communicating technical risk and investment decisions to executive and senior leadership audiences.
  • Strong programming skills in Python and Go, with experience building security tooling and automation.
  • Experience reviewing AI/ML architectures, including data ingestion, feature engineering, training pipelines, model serving, and monitoring.
  • Hands-on experience with AI red-team, defensive, and model supply-chain tooling.
  • 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 customer-facing scale.
  • Familiarity with production LLM security, including RAG pipelines, agentic frameworks, and model APIs.

Benefits

  • Remote role.
  • Competitive benefits may include an Employee Assistance Program, local employee meetups, and flexible time off, with specifics varying by location.
  • Reimbursement for relevant conferences, training, and education, plus access to LinkedIn Learning courses.
  • Potential bonus and equity compensation, 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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