ICON

ICON

Sourcing Recruiter

Austin, Texas, United States · Mid · Contract

Sponsorship not specifiedDetected 56 days ago
GitRecruitingRobotics

Stay score

odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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

1 transfer filing in the last year, covering 1 worker. 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.

Community outcomes

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About the role

  • ICON is rebuilding recruiting from the ground up - standing up a Recruiting Delivery Center of Excellence engineered to find and win talent with the speed, rigor, and market insight of the best search firms in the world.
  • This is an on-site role based at our Austin, TX HQ Campus.
  • Qualification & Handoff Conduct initial qualification screens that surface candidate viability and interest; this is a top-of-funnel role, not full assessment.

Responsibilities

  • Identify and engage passive candidates using advanced sourcing technique - Boolean search, LinkedIn Recruiter, GitHub, and other channels - for TA Partner-run searches.
  • Build and maintain proactive pipelines focused on passive and hard-to-reach talent across current and anticipated searches.
  • Develop and iterate sourcing models for difficult or specialized roles, and recommend new techniques to improve pipeline quality and volume.
  • Hand off qualified pipelines to the TA Partner at the agreed definition of done, with market context attached, so nothing stalls and no one wonders who has the ball.
  • Compile and escalate sourcing insights to the TA Partner - talent availability, competitive dynamics, and market signals.
  • Document sourcing plans with clear deliverables, timelines, and metrics.
  • Maintain data hygiene through disciplined candidate dispositioning and adherence to response timelines and the CoE playbook.

Requirements

  • 2+ years of sourcing or recruiting experience, in-house or agency.
  • Demonstrated proficiency with LinkedIn Recruiter and Boolean sourcing across at least one talent domain.
  • Track record of engaging passive candidates and running initial qualification conversations.
  • Proficiency with an applicant tracking system and disciplined candidate dispositioning.
  • Bachelor's degree or equivalent practical experience.

Skills

  • 4+ years of sourcing experience with demonstrated independent sourcing on specialized roles.
  • Experience sourcing technical or hard-to-fill roles - engineering, software, robotics, skilled trades, or construction / AEC.
  • Hands-on use of AI sourcing and outreach tooling at volume.
  • Experience in a high-volume or search-firm environment.
  • ICON is an equal opportunity employer committed to fostering an innovative, inclusive, diverse and discrimination-free work environment.
  • Employment with ICON is based on merit, competence, and qualifications.
  • Consistent with the obligations of these laws, ICON will make reasonable accommodations for qualified individuals with disabilities.
  • Headhunters and recruitment agencies may not submit candidates through this application.
  • Internet Applicant Employment Notices

Company info

  • This is a general-interest posting - we are continuously meeting exceptional sourcers across experience levels.
  • As part of our compliance with these obligations, the Company invites you to voluntarily self-identify as set forth below.

This listing is sourced directly from ICON's careers page and normalized into a canonical job model.