About this role
DigitalOcean is building and scaling cloud platforms while securing complex AI systems at production scale. This role exists to spearhead AI and machine learning security strategy, owning multi-year roadmaps and governance frameworks across the organization. The person in this position will partner with product security and engineering teams to deploy guardrails, lead adversarial testing, and serve as the internal expert on AI-related security risks.
Candidates joining this team will collaborate closely with the VP and Deputy CISO, alongside security data science groups, to evaluate deployed models and guide major product initiatives. Someone who excels here combines deep technical knowledge of adversarial machine learning with the ability to translate complex threat scenarios for executive and board-level stakeholders.
What you will do
- Partner with product security and engineering leadership to integrate AI security controls into customer-facing products.
- Build, deploy, and serve in-house AI and machine learning models, guardrails, tooling, and automations alongside security data science teams.
- Lead adversarial testing and AI red teaming initiatives including jailbreaking, prompt injection, evasion, and poisoning tests.
- Conduct threat modeling across the entire AI lifecycle spanning data ingestion, fine-tuning, retrieval-augmented generation, and agent frameworks.
- Own and drive the multi-year AI security strategy and roadmap to prioritize risks as the threat landscape evolves.
- Architect and establish the AI Risk and Governance framework with policies, standards, and controls for responsible system development.
- Represent AI security at executive and board-level briefings to communicate risk posture and program progress.
What you need
- Bring at least 10 years of experience in cybersecurity with 4 to 5 years specifically focused on AI and machine learning security or adversarial machine learning.
- Demonstrate a proven track record of defining and driving AI or security programs at an organizational level rather than just executing them.
- Possess practitioner-level knowledge of adversarial machine learning attacks and defenses including prompt injection and model extraction.
- Show strong programming skills in Python and Go with experience building security tooling and automation.
- Hold a Bachelor's or Master's degree in Computer Science, Information Security, Mathematics, or a related field, or have equivalent practical experience.
- Demonstrate familiarity with security frameworks such as OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act.
Nice to have
- Prior experience in a cloud provider, security product company, or large-scale internet platform operating AI systems at customer-facing scale
Benefits
- Flexible time off policy
- Employee Assistance Program
- Local employee meetups
- Reimbursement for relevant conferences, training, and education
- Access to LinkedIn Learning courses
- Equity compensation 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 compensation range for this position?
The salary range for this position is $230,400 to $288,000 based on market data, relevant years of experience, and skills.
Who does this role report to?
In this role, you will report to the VP, Deputy CISO and partner closely with Security Data Science and Security leadership teams.
Are there limits on submitting job applications?
You may apply to a maximum of 3 positions within any 180-day period.