About this role
DigitalOcean needs a senior security specialist to establish risk governance and operationalize machine learning defenses at cloud scale. This person will serve as the internal authority for all AI-related security risks, bridging the gap between security engineering, data science, and product teams to protect large-scale customer infrastructure.
Daily responsibilities include defining multi-year security roadmaps, conducting rigorous adversarial testing, and partnering with product leadership to integrate robust guardrails across model serving pipelines and RAG architectures. Ideal candidates possess a deep technical understanding of adversarial machine learning combined with the executive communication skills required to brief leadership on threat posture.
What you will do
- Partner with product security and engineering leadership to integrate AI security controls into customer-facing cloud products.
- Collaborate with security data science teams to build, deploy, and monitor in-house AI models and automated safety guardrails.
- Lead adversarial testing and AI red teaming initiatives, focusing on prompt injection, jailbreaking, evasion, and data poisoning.
- Perform comprehensive threat modeling across the entire AI lifecycle, spanning data ingestion, fine-tuning, retrieval-augmented generation, and agent frameworks.
- Own the overarching AI security strategy and multi-year roadmap while architecting the organizational risk and governance framework.
- Represent the organization at executive and board-level briefings, translating complex technical risk scenarios into business-contextualized impact.
What you need
- Bring over 10 years of professional experience in cybersecurity, with at least 4 to 5 years specifically dedicated to AI/ML security, adversarial machine learning, or security data science.
- Demonstrate a track record of defining and driving enterprise-level security programs rather than merely executing within them.
- Possess practitioner-level knowledge of adversarial attack and defense concepts such as model extraction, membership inference, and prompt injection.
- Demonstrate strong programming proficiency in Python and Go for building custom security tooling and automation capabilities.
- Show familiarity with major industry frameworks including the OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act.
- Hold a Bachelor's or Master's degree in Computer Science, Information Security, Mathematics, or a related field, or possess equivalent practical experience.
Benefits
- Reimbursement for relevant conferences, training, and education
- Access to LinkedIn Learning's course library
- Employee Assistance Program
- Flexible time off policy
- Bonus eligibility based on company and individual performance
- Equity compensation including hire grants and Employee Stock Purchase Program participation
Skills and tech stack
Questions candidates ask
Is this a remote position?
Yes, this is a remote role.
What is the salary range for this position?
The compensation range for this role is $230,400 to $288,000, determined by market data, relevant years of experience, and skills.
What programming languages are required for the role?
Strong programming skills in Python and Go are required with a track record of building security tooling and automation.
What team will this person report to?
The person in this role will report to the VP, Deputy CISO and partner closely with Security Data Science and Security leadership teams.