Director, Security Products – Key Management

🔥 49 minutes ago

☕ Washington – Remote

☕ Washington – Remote

💵 $230.4k - $288k / year

⏰ Full Time

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

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This company has sponsored H1B visas in the past.

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DigitalOcean

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Partner with Product Security and Engineering leadership to define AI security controls for customer-facing products • Build, deploy, and serve in-house AI/ML models, guardrails, tooling, and automations • Monitor deployed models for drift, evaluate 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 • Conduct threat modeling across the AI lifecycle • Own and drive 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

🎯 Requirements

• 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 • Demonstrated track record of defining and driving AI or security programs at an organizational level • Deep practitioner-level knowledge of adversarial ML attacks and defenses, including evasion, poisoning, model extraction, membership inference, and prompt injection • Ability to evaluate and synthesize academic AI security research 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 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 • Familiarity with production LLM security, including RAG pipelines, agentic frameworks, and model APIs

🏖️ 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 • Bonus eligibility based on company and individual performance • Equity compensation, including equity grants upon hire • Option to participate in the Employee Stock Purchase Program