
1001 - 5000 employees
Founded 2011
☁️ SaaS
SaaS • Cloud Computing
DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.
🔥 12 hours ago
🍂 Massachusetts, Texas – Remote
💵 $230.4k - $288k / year
⏰ Full Time
🔴 Lead
👮♂️ Cybersecurity / Security Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2011
☁️ SaaS
SaaS • Cloud Computing
DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.
• 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 support 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 and provide architectural sign-off and escalation guidance • Threat model the AI lifecycle, including data ingestion, training, fine-tuning, 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 • Represent AI security in executive and board-level briefings • Define DigitalOcean's position on emerging AI security topics
• 10+ years of experience in cybersecurity, 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 • 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 • Proficiency reviewing and critiquing AI/ML system architecture • 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 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 • Familiarity with production LLM security, including RAG pipelines, agentic frameworks, and model APIs • Ability to work remotely
• 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 • Bonus eligibility 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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