Security & AI Governance Lead

🕒 August 25

🇺🇸 United States – Remote

💵 $260k - $300k / year

⏰ Full Time

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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Tribe AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🤖 Artificial Intelligence

Consulting • Healthcare • Artificial Intelligence

Tribe AI is an enterprise AI consultancy and product studio that builds custom generative AI solutions and end-to-end AI products for large organizations. They combine a network of 600+ AI engineers and product leaders, partnerships with OpenAI/Anthropic/AWS, and domain experience to deliver rapid prototyping, production deployments, and measurable business outcomes across industries like financial services and healthcare.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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