About this role
Leading adversarial testing, conducting security reviews, and building guardrails form the daily work for this position. The team builds cloud infrastructure and customer-facing products, while this person specifically owns the AI security strategy, multi-year roadmap, and risk frameworks across the organization.
Operating as the internal expert on AI-related security risk, the individual partners with Product Security, Engineering, and Security Data Science teams. Success requires deep technical knowledge in adversarial machine learning alongside the ability to communicate risk posture to executive and board-level audiences.
What you will do
- Partner with Product Security and Engineering leadership to define how AI security controls are integrated into customer-facing products.
- Collaborate with Security Data Science and Security Engineering to build, deploy, and serve in-house AI and machine learning models, guardrails, tooling, and automations.
- Lead adversarial testing and AI red teaming initiatives, including jailbreaking, prompt-injection, evasion, and poisoning testing.
- Perform threat modeling across the entire AI lifecycle covering data ingestion, training, fine-tuning, evaluation, model serving, RAG, and agent frameworks.
- Own and drive the AI Security strategy and multi-year roadmap to determine investment priorities as the threat landscape evolves.
- Architect and lead the AI Risk and Governance framework by establishing policies, standards, and controls for responsible system development and deployment.
- Represent AI security at executive and board-level briefings to communicate risk posture and program progress to senior leadership.
What you need
- Ten or more years of experience in cybersecurity, with at least four to five years focused on AI and machine learning 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 rather than just executing within them.
- Deep, practitioner-level knowledge of adversarial machine learning attack and defense including evasion, poisoning, model extraction, membership inference, and prompt injection.
- Strong programming skills in Python and Go with a track record of building security tooling and automation independently.
- Proficiency in reviewing and critiquing AI and machine learning system architectures across data ingestion, feature engineering, training pipelines, and model serving.
- Familiarity with frameworks and standards such as OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
Nice to have
- Prior experience in a cloud provider, security product company, or large-scale internet platform operating at significant customer-facing scale
Benefits
- Employee Assistance Program
- Local Employee Meetups
- Flexible time off policy
- Reimbursement for relevant conferences, training, and education
- Access to LinkedIn Learning courses
- Equity compensation and Employee Stock Purchase Program
Skills and tech stack
Questions candidates ask
Is this a remote role?
Yes, this is a remote role.
What is the compensation range for the position?
The salary range for this position is $230,400 to $288,000, and employees may also qualify for a bonus and equity compensation.
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.
What frameworks and standards are relevant to this position?
The role requires fluency in OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, and the EU AI Act.