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AI Identity & Endpoint Controls Lead

Cambridge, Massachusetts💼 Full-time💰 $158,600–$158,600🗓 2026-07-08 → 2026-07-31

Core

Design, select, and implement enterprise cybersecurity solutions for non-human identity (NHI), credential management, and endpoint execution controls to secure agentic AI operations at scale.

Role type

Associate Director, Security Engineering (Technical Leadership)

Builds

AI security control plane, NHI governance frameworks, and endpoint execution control policies for Windows/macOS environments.

Domain

Cybersecurity, Identity Engineering, AI Security, Endpoint Hardening

Deliverable

production ML models | product features | infrastructure

Required skills

NHI governance, credential lifecycle management, endpoint execution control, vendor evaluation, team leadership, risk-based architecture design, policy authoring, stakeholder alignment

Preferred skills

Enterprise secrets management (Vault, Key Vault), workload identity federation (SPIFFE), MDM ecosystems (Intune, Jamf), WDAC/code-signing strategies, AI platform governance (Copilot, Anthropic)

Technologies

Windows, macOS, OAuth 2.0, OIDC, SAML, JWT, mTLS, HashiCorp Vault, Azure Key Vault, AWS Secrets Manager, GCP Secret Manager, Microsoft Intune, Jamf, SPIFFE/SPIRE, GitHub Copilot, Anthropic

Responsibilities

Own technical strategy and roadmap for NHI and endpoint security; lead and develop a team of senior security engineers; evaluate and deploy enterprise platforms for secrets management and endpoint allow-listing; design operational processes for non-human identity credential lifecycles; build AI security control planes and enforcement points; lead endpoint execution control and configuration hardening; partner with SecOps on detection and response playbooks; author standards and reference architectures.

Seniority

Senior, hands-on IC with management responsibilities

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