Technology Fellow, Cybersecurity & AI Security

Position overview

Key responsibilities

• Own enterprise security architecture and standards across cloud, platform, identity, data, and applications; serve as security authority on architecture review.
• Define AI and agentic system controls, including gateway access, authentication, policy, logging, guardrails, scoped identities, tool/MCP security, human approval, and containment.
• Lead threat modeling, secure design review, adversarial testing, and red-teaming; automate reviews and own CI/CD security gates.
• Set identity and access architecture, including phishing-resistant MFA, privileged and just-in-time access, workload identity, secrets, and auditable AI-agent identities.
• Drive cloud, Kubernetes, platform, and data security engineering, including policy as code, encryption, tokenization, posture management, and loss prevention.
• Lead technical response to major incidents and partner on detection engineering, AI telemetry, tabletop exercises, and purple-team exercises.
• Assess models, vendors, and integrations; include security requirements in contracts and designs; perform acquisition technical due diligence.
• Establish security engineering practices and metrics, champion security tooling, and develop reusable libraries, standards, training, and mentorship.
• Partner with CTO, CISO, Legal, and Compliance on technical controls related to SEC, SOX, PCI DSS, privacy, FCRA, and Fair Housing.

Required qualifications

• 15+ years in software engineering and cybersecurity, including 8+ years focused on security and recent hands-on production generative AI, LLM, or agentic security experience.
• Enterprise-scale security architecture authority experience in a regulated or public-company environment.
• Production-quality Python and at least one other language; built security tooling or automation and integrated controls into CI/CD.
• Deep expertise in AWS, Azure, or GCP and Kubernetes, with secure microservices and API design experience.
• Demonstrated measurable reduction of security review friction through automation without lowering security standards.
• Exceptional communication of technical risk to executives, boards, and engineers.
• Bachelor’s degree in computer science, engineering, or related field, or equivalent experience.
• Preferred: consumer platforms with payments, identity, or fraud exposure; IoT/smart-home security; or SEC registrant experience.

Core competencies

• Enterprise security architecture; AI and agentic systems security; secure SDLC and pipeline quality gates.
• Threat modeling and adversarial testing; identity, cloud, and data security; detection and incident response engineering.
• Security automation and tooling; regulatory and disclosure fluency; executive communication and engineering influence; technical mentorship.

Compensation

• Salary range is $211,650–$366,860, with potential eligibility for an annual discretionary bonus.

Benefits

• Benefits include annual bonus program, health, dental, vision and life insurance, disability coverage, paid time off, holidays, and 401(k) matching.