Drimva

TRM Labs

Deployment Strategist, CTI

United States · Remote · Full-time · Posted Oct 29, 2026

Experience
5+ years; no alternatives stated.

About the job

Own enterprise cyber threat intelligence customer deployments from onboarding through adoption, renewal, and expansion, while building TRM’s deployment playbook and success framework.

What you'll do

  • Launch customer deployments and recurring intelligence workflows, and define adoption benchmarks and account health signals.
  • Run executive business reviews and partner with Sales on renewals, expansion, and account outcomes.
  • Build AI-supported deployment tools and workflows, and channel customer feedback into product priorities.

What they ask for

  • 5+ years in deployment strategy, onboarding, solutions engineering, customer success, or another post-sale role, with ownership of NRR, GRR, and expansion metrics and a record of using AI to scale the work.
  • Background in cyber threat intelligence, security operations, threat hunting, incident response, or a CTI vendor or platform environment.
  • Experience building a deployment, onboarding, or customer success function or playbook from scratch, and building production AI workflows that synthesize data from multiple sources.
  • Experience supporting enterprise customers across North American time zones, including regulated industries; credibility with CTI practitioners and executive presence.

Nice to have

  • Experience at a threat intelligence vendor, ISAC or ISAO, or corporate intelligence team; familiarity with third-party and supply chain risk or cyber insurance workflows.
  • Certifications such as GCTI or GCIH.

Tools

Claude, TRM's Intel platform, Salesforce, Gong, Slack, MITRE ATT&CK

AI focus

Use AI to accelerate customer onboarding, turn analysts’ searches into recurring workflows, generate account health summaries and QBR drafts, identify renewal risks and expansion opportunities, and synthesize customer feedback for Product. Production AI workflows and applied AI fluency are expected.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 5, 2026 (UTC)