TRM Labs

TRM Labs

Marketing Recruiter (Contract)

United States · Senior

Sponsorship not specified$153k-$172kDetected 27 days ago
A/B TestingRecruitingOnboardingLeadershipCommunicationCollaborationProblem SolvingAdaptability

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odds of building a lasting career here

51Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role52
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Our talent team is fully remote and async-first.
  • We keep work moving across time zones through Slack, thorough documentation, and proactive updates.
  • We stay tightly aligned through weekly hiring syncs, team sourcing syncs, and bi-weekly team meetings where we solve challenges together.

Responsibilities

  • Partner with marketing leaders and hiring managers to define talent needs, set hiring strategy, and deliver against the growth priorities tied to TRM's expansion across public sector, financial institutions, and crypto.
  • Design candidate experiences that convey why TRM's work matters and reflect our high talent bar at every touchpoint, knowing that marketing candidates will judge us by how well we tell our own story.
  • Build market maps and creative sourcing strategies to reach high-caliber marketers in competitive markets where the best people are rarely looking.
  • Build proactive pipelines of Product Marketing and Demand Generation talent so TRM can move quickly as new priorities, segments, or regions emerge.
  • Sharpen our recruiting processes, interview practices, and workflows to drive speed, quality, and consistency as we scale.
  • Use hiring data and market insight to advise teams on compensation, talent availability, and role design, unblock searches, and make sound recruiting decisions.
  • We are building a safer world.

Requirements

  • 5+ years of full-cycle recruiting, with a strong track record hiring across marketing functions such as Product Marketing, Demand Generation, Brand, Content, and Communications.
  • Experience recruiting for B2B marketing teams, ideally in SaaS, security, fintech, or other technical and regulated markets.
  • Proven success recruiting in high-growth, fast-paced environments where priorities shift frequently.
  • Experience partnering with senior leaders and executives, including CMOs and marketing VPs, as a strategic talent advisor.
  • A working understanding of how modern marketing teams operate and are measured, so you can tell the difference between a strong pipeline builder, a sharp storyteller, and a great operator.
  • The ability to ramp quickly on unfamiliar specialties and turn business needs into clear, credible hiring profiles.
  • Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications.
  • Operating with a high degree of ambiguity

Skills

  • Individual pay is determined by skills, qualifications, experience, and location.
  • Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview.
  • Hiring Manager: Deep dive into your relevant experience, skills, and impact.

Compensation

  • Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only
  • The estimated base salary range for this role is $153,000 - $172,000.

Company info

  • Our talent team is fully remote and async-first. We keep work moving across time zones through Slack, thorough documentation, and proactive updates.
  • We care deeply about our craft: we continuously refine best practices and data quality to deliver an exceptional experience for candidates and internal stakeholders alike, backed by precise, reliable reporting.
  • We're globally distributed but most of us overlap between 7am-12pm PST for real-time collaboration.
  • Every team member, wherever they're based, maintains at least a 4-hour overlap with PST business hours.
  • Within 72 hours of a role opening, you've scheduled the intake, researched and published the role, and brought 5 calibration profiles to the intake for the hiring manager to review.
  • Within a week of opening the role, you've mapped the total addressable market, built a shortlist of the top 30 profiles, conducted 5-10 recruiter screens, and stood up the full interview process - including the approved questions that define what good looks like on a recruiter screen.
  • Two weeks after the initial interviews, you analyze the data to identify what is and isn't driving pass rates and conversions, share insights and recommendations with the hiring team, and continue to monitor and adjust until the position is filled.
  • Within your first 30 days, you'll be fully onboarded, calibrated, and operating as the DRI for your positions.
  • Within your first 60 days, you'll have your first sourced candidates reaching final rounds.
  • Within your first 90 days, you'll have made 2-3 hires.
  • Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only
  • The estimated base salary range for this role is $153,000 - $172,000.
  • Additionally, this role may be eligible to participate in TRM's equity plan.
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This listing is sourced directly from TRM Labs's careers page and normalized into a canonical job model.