Enterprise Security Engineer

About the company

TRM Labs builds AI-powered blockchain intelligence tools that help governments and financial institutions detect and disrupt crypto-related crime.

About this role

BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. Job Summary: - TRM's Enterprise Security Team secures the identities, endpoints, and core SaaS infrastructure used by every employee and contractor, so the company can move fast without taking unnecessary risk. We operate at the intersection of IT and Security: building secure-by-default systems, automating controls, and reducing operational toil through engineering. We use AI tooling heavily as part of how we work, and we expect the same of the engineers who join us. - We're looking for an Enterprise Security Engineer to help harden and scale our corporate environment. You'll design and ship identity, endpoint, and SaaS security improvements; codify controls using automation and infrastructure-as-code; and partner closely with Security, Compliance, and engineering teams to continuously raise the security baseline while preserving a great employee experience. The impact you will have here: - Engineer secure-by-default endpoint baselines for macOS and Windows, including encryption, firewall, application controls, device compliance, and configuration standards. - Automate and scale identity and access controls in Entra ID and Google Workspace (SSO, SCIM, conditional access, privileged access workflows, access reviews, joiner/mover/leaver). - Codify security controls as code (Terraform/configuration profiles/policy-as-code), with peer review, change history, testing/rollback, and measurable outcomes. - Build and maintain automations and integrations (e.g., n8n/SlackOps/APIs/scripts) that reduce manual access grants, speed up control changes, and eliminate repetitive workflows. - Apply AI tooling (Claude Code, agentic workflows, MCP integrations, LLM-backed automations) to accelerate your own engineering and triage work, and help secure how the rest of the company uses AI: sanctioned tooling, data handling guardrails, and visibility into shadow AI. - Harden SaaS and collaboration platforms by reducing unmanaged apps and enforcing strong authentication, least privilege, sharing controls, and data protection guardrails. - Improve visibility and detection by ensuring loggingr endpoint, identity, and key SaaS applications (e.g.,Defender/Sentinel and vendor logs where relevant). - Drive vulnerability and configuration drift reductio targets, remediation pipelines, and reporting that leadership can act on. - Partner with compliance and risk stakeholders to produce evidence, document controls, and operationalize requirements without creating brittle, manual processes. - Participate in an on-call rotation (every ~3 weeks) identity, endpoint security, and critical enterprise systems. What we're looking for: - Demonstrated experience engineering and scaling endpor Intune) and endpoint security controls for macOS and Windows. - Strong IAM foundation: hands-on experience with Entra ID (conditional access, SSO, access governance) and Google Workspace and/or Microsoft 365 administration. - Proven ability to automate real operational workflow (Bash, PowerShell, Python, etc.). - Fluency with AI-assisted engineering: you already reach for coding agents and LLM tooling to build, review, and investigate faster, and you can judge where their output needs verification - Strong troubleshooting and systems thinking: identity, endpoint, network controls, and SaaS integrations. - Comfort balancing security and usability using a risk-based approach, communicating tradeoffs clearly to technical and non-technical stakeholders. Strong Plus: - Working knowledge of operating Infrastructure-as-Code / configuration-as-code (Terraform preferred; policy-as-code/config profiles acceptable) - Security Incident Response & Countermeasures experie - Security Operation Center experience - Experience securing or governing enterprise AI adoption (AI usage policy, DLP for AI tools, agent/MCP access scoping) Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only. The following represents the expected range of compensation for this role: - The estimated base salary range for this role is $180,000 - $200,000. - Additionally, this role may be eligible to participate in TRM’s equity plan. LIFE AT TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It als