GTM Recruiter

Mercor HQ, 181 Fremont Street. Posted 12 days ago

The role

You will own full-cycle recruiting for Mercor's GTM organization, including Sales, Partnerships/BD, and Growth. You will partner with leadership to build hiring plans and build the recruiting playbook from the ground up.

What you will do

Own full-cycle recruiting for Mercor's GTM organization
Assess GTM roles for quota attainment, deal-cycle ownership, territory/segment fluency, and consultative selling
Build top-of-funnel using creative outbound, talent intelligence, and Mercor's own product
Coach hiring managers and interviewers on structured interviewing, leveling, and decision hygiene
Operationalize hiring systems and optimize funnel metrics
Drive SLAs for fast decisions, fast offers, and candidate experience
Represent Mercor externally as a face of the brand
Collaborate on dashboards, metrics, and process automation

Required qualifications

4-5 years of full-cycle recruiting experience specifically for GTM roles
Fluency in market research, account prospecting, deal-cycle and territory dynamics, and consultative vs. transactional sales motions
Proven ability to build and scale hiring systems, identify key metrics, and make data-driven decisions
Strong communication skills
Ability to represent the Mercor brand to top GTM candidates
Familiarity with Ashby or ability to quickly adopt new tools and systems

Nice to have

Experience recruiting for AI, SaaS or enterprise software companies
Experience as a founding recruiter or early-stage startup builder
Interest in the human data / AGI space
Comfort with shifting hiring demands

Benefits

$10K housing bonus if you live within 0.5 miles of our office
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Up to $15K in relocation assistance for moving to the Bay Area
Health, Dental, Vision insurance
401(k) with company match

About the company

Mercor builds infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. The company is profitable and recently raised a $750 million Series D at a $20 billion valuation.