Enterprise Security Engineer
TRM Labs · Full-time · Posted 1mo ago
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.
TRM's Enterprise Security team secures the identities, endpoints, and core SaaS infrastructure used by every employee and contractor, enabling the company to move quickly 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 extensively 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 deliver 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 our security baseline while preserving an excellent employee experience.
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 Microsoft Entra ID and Google Workspace, including SSO, SCIM, Conditional Access, privileged access workflows, access reviews, and joiner/mover/leaver processes.
Codify security controls as code using Terraform, configuration profiles, and policy-as-code, with peer review, testing, rollback capabilities, change history, and measurable outcomes.
Build and maintain automations and integrations (e.g., n8n, SlackOps, APIs, and scripts) that reduce manual access grants, accelerate control changes, and eliminate repetitive workflows.
Apply AI tooling (Claude Code, agentic workflows, MCP integrations, and LLM-backed automations) to accelerate engineering and triage work while helping secure how the rest of the company uses AI through sanctioned tooling, data handling guardrails, and visibility into shadow AI.
Harden SaaS and collaboration platforms by reducing unmanaged applications and enforcing strong authentication, least privilege, sharing controls, and data protection guardrails.
Improve visibility and detection by ensuring logging from endpoints, identity providers, and key SaaS applications is integrated into Microsoft Defender, Microsoft Sentinel, and other relevant security platforms.
Drive vulnerability and configuration drift reduction through remediation pipelines, automation, metrics, and reporting that leadership can act on.
Partner with Compliance and Risk stakeholders to produce evidence, document controls, and operationalize requirements without creating brittle or manual processes.
Participate in an approximately one-week-on, every-three-weeks on-call rotation supporting identity, endpoint security, and critical enterprise systems.
Demonstrated experience engineering and scaling endpoint management platforms (such as Microsoft Intune) and endpoint security controls for macOS and Windows.
Strong identity and access management (IAM) foundation with hands-on experience administering Microsoft Entra ID (Conditional Access, SSO, Access Governance) and Google Workspace and/or Microsoft 365.
Proven ability to automate operational workflows using scripting languages such as Bash, PowerShell, or Python.
Fluency with AI-assisted engineering. You already leverage coding agents and LLM tooling to build, review, troubleshoot, and investigate more effectively, while knowing when human verification is required.
Strong troubleshooting and systems-thinking skills across identity, endpoints, networking, security controls, and SaaS integrations.
Ability to balance security and usability using a risk-based approach and clearly communicate tradeoffs to both technical and non-technical stakeholders.
Experience managing infrastructure-as-code or configuration-as-code, preferably Terraform, with familiarity in policy-as-code and configuration profiles.
Security incident response and countermeasure experience.
Security Operations Center (SOC) experience.
Experience securing or governing enterprise AI adoption, including AI usage policies, DLP for AI tools, and agent/MCP access governance.
Individual compensation is determined by skills, qualifications, experience, and location. The compensation details below reflect the U.S. base salary range for this role.
Base salary: $180,000–$200,000 USD
Equity: This role is also eligible to participate in TRM's equity program.
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 also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment.
We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here.
At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like
AI fluency is a baseline expectation at TRM.
We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.
At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to:
Accelerate repeatable workflows
Structure and solve problems
Improve output quality
Increase speed and leverage
You will be evaluated on applied AI fluency during the interview process.
We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions.
Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.
Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday.
Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger.
At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast.
TRM is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.
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