Security & AI Governance Lead

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $260 000 - $300 000 / an

⏰ Temps Plein

🟠 Senior

👮‍♂️ Cybersécurité / Ingénieur Sécurité

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Tribe AI

Tribe AI

51 - 200 employés

💼 Conseil

🏥 Santé

🤖 Intelligence artificielle

Consulting • Healthcare • Artificial Intelligence

Tribe AI est une société de conseil en IA d'entreprise et un studio de produits qui conçoit des solutions d'IA générative sur mesure et des produits IA de bout en bout pour les grandes organisations. Ils associent un réseau de plus de 600 ingénieurs en IA et leaders de produits, des partenariats avec OpenAI/Anthropic/AWS, et une expérience sectorielle pour offrir des prototypes rapides, des déploiements en production et des résultats commerciaux mesurables dans des secteurs comme les services financiers et la santé.

Description

• Report to the CTO and own Tribe’s corporate security, compliance program, AI governance, and client-facing security work • Lead enterprise security reviews, questionnaires, diligence, and escalations • Own Tribe’s SOC 2 program and future certifications, Trust Center, evidence library, and reusable customer security package • Partner with GTM, Legal, and Delivery to manage vendor risk, subprocessors, data retention, and customer security commitments • Own the security roadmap, risk register, policies, exceptions, metrics, and executive reporting • Establish and improve controls across identity, SSO and MFA, access lifecycle, MDM, EDR, encryption, DLP, patching, BYOD, vulnerability management, logging, and SIEM • Own incident readiness and response, including severity decisions, cross-functional coordination, client communication, tabletop exercises, postmortems, and remediation • Define governance for coding agents, AI assistants, model providers, and subprocessors, including approved accounts, data flows, retention, telemetry, and human oversight • Partner with Forward Deployed Architects and infrastructure leads on architecture reviews, threat modeling, secure SDLC, authentication, client segmentation, observability, and production readiness • Turn recurring customer requirements and delivery lessons into reusable controls and patterns; determine what to build, automate, outsource, or support with dedicated hires

🎯 Exigences

• 8+ years in security • Built or substantially improved an enterprise security and GRC program spanning identity, endpoints, data protection, monitoring, vendor risk, and incident response • Personally led demanding security reviews, questionnaires, diligence sessions, and escalations with large enterprise customers • Pragmatic technical depth to interrogate an architecture, trace a data flow, challenge an implementation, and determine what evidence would prove a control • Owned a SOC 2 or ISO 27001 cycle from control design and scope through audit and remediation • Experience securing AI or ML systems, including model providers, agentic workflows, telemetry, evaluations, and emerging AI-specific risks • Experience in an AI-native services, consulting, or forward-deployed engineering environment

🏖️ Avantages

• Offers Equity • Impact: Ship AI systems that run at scale in Fortune 500 enterprises • Growth: Stay hands-on with cutting-edge frameworks while developing field-tested instincts • Variety: Solve problems across industries, from finance to healthcare to defense • Culture: Work in a team that prizes resilience, creativity, and winning over process • Trajectory: Build both your technical and consulting muscles in one of the most demanding roles in AI delivery

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