Senior Sales Recruiter
Blockchain intelligence company providing tools to detect, investigate, and manage crypto-related fraud, financial crime, and compliance for institutions and government agencies.
Funding history
Investors
About TRM Labs
TRM Labs provides blockchain intelligence for investigations and compliance, offering products such as forensics, wallet screening, entity screening, transaction monitoring, and APIs. It serves financial institutions, crypto businesses, and public sector agencies to trace funds, assess risk, and build cases across digital assets.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own full-cycle hiring for specialized post-sales roles, partnering with executives and hiring managers to deliver exceptional hires and build a high-performing, async-first, globally distributed team.
Requirements
- 5+ years of full-cycle sales recruiting experience
- Proven success recruiting in high-growth, fast-paced environments
- Strong understanding of compliance-sensitive hiring and regulated functions
- Ability to manage a high volume of diverse requisitions with attention to detail
- Structured communication and comfort working asynchronously
- Exceptional candidate experience skills across roles and levels
Responsibilities
- Own and drive full-cycle hiring for specialized post-sales functions
- Partner with executives and hiring managers to define talent needs
- Create best-in-class candidate experiences
- Develop sourcing strategies and market maps
- Build proactive candidate pipelines
- Serve as a brand ambassador and trusted hiring advisor
- Analyze sourcing data and refine outreach to improve conversions
- Refine recruiting processes and evaluation frameworks
Hiring Process
Within 72 hours of receiving a position, prepare a TAM overview and 5–10 sample profiles for intake. Within 48 hours of initial candidate feedback, refine search criteria; within 24 hours, create A/B outreach messaging and aim to source 100 candidates in the first week. After two weeks, analyze sourcing data, share recommendations, and continue optimizing until the position is filled.