Director, Security Products: Key Management
DigitalOcean9 hours ago
Base Salary
$230k - $288k/yr
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.
About DigitalOcean
DigitalOcean provides cloud infrastructure and platform services for developers, startups, and small to mid-sized businesses, including virtual machines (Droplets), managed Kubernetes and databases, object/block storage, networking, and GPUs for AI workloads. It operates a usage-based, self-service public cloud with APIs, CLI, and a marketplace to deploy and scale applications. Founded in 2012 and headquartered in Broomfield, Colorado, DigitalOcean is a public company listed on the NYSE.