Home › Companies › Mercor › Technical Recruiter
Technical Recruiter
Mercor · San Francisco · On Site · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Mercor |
| Title | Technical Recruiter |
| Normalized title | - |
| Department / team | Engineering / Engineering |
| Location | San Francisco, CA, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Mercor. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Mercor |
| Source | 8a2bb184-0550-471f-814d-47b207e73710 |
| ATS provider | Ashby |
Description
About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role As a Technical Recruiter at Mercor, you’ll own full-cycle hiring across critical technical functions, partnering directly with the VP of Engineering, CTO, and engineering leadership. You’ll play a foundational role in shaping our engineering organization as we scale one of the fastest-growing companies in the world.
What You’ll Do Own full-cycle recruiting (sourcing → close) across software, machine learning, infrastructure, and leadership roles.
Partner directly with VP of Engineering, CTO, and Engineering Managers to define headcount plans, hiring bar, and process improvements.
Build top-of-funnel using creative outbound, talent intelligence, and Mercor’s own product (structured screens, automated work samples, and calibrated rubrics).
Design assessments that predict on-the-job performance and improve signal quality.
Coach hiring managers on structured interviewing, leveling, and decision hygiene.
Operationalize hiring systems: track and optimize key funnel metrics (pass-through rates, time-in-stage, source yield).
Champion speed and quality: drive SLAs for same-day debriefs, fast offers, and strong candidate experience.
Build brand: campaigns, referrals, and events that attract top engineers and operators.
Represent Mercor externally, you’ll be a face of the brand for top technical candidates.
Collaborate on dashboards, metrics, and process automation within Ashby and other recruiting systems.
What We’re Looking For Experience with full-cycle recruiting across IC and leadership roles.
Deep familiarity with technical roles: SWE, MLE, Applied AI, Security, Infrastructure, and TLM.
Proven ability to build and scale hiring systems, identify key metrics, and make data-driven decisions.
Strong communication skills; able to work efficiently with the VP of Engineering, CTO, engineering leadership, and cross-functional teams.
Confident representing the Mercor brand to top candidates.
Familiarity with Ashby or ability to quickly adopt new tools and systems.
Nice to Haves Experience as a founding technical recruiter or early-stage startup builder.
Interest in the human data / AGI space.
Technical degree or professional experience in engineering.
Compensation & Benefits Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$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
Health, Dental, Vision insurance
Full job record
| Job ID | 7f60fcd1f20558333e013f966b8e7c053e4a9dac |
| Org ID | 3454cf47-ee94-47fc-918e-00dca2cf958a |
| Source ID | 8a2bb184-0550-471f-814d-47b207e73710 |
| Board ID | 8a2bb184-0550-471f-814d-47b207e73710 |
| Provider | ashby |
| Provider Job Key | 3e6e588a-c615-4653-96ce-b1236030271c |
| Title | Technical Recruiter |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco |
| Department | Engineering |
| Team | Engineering |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/mercor/3e6e588a-c615-4653-96ce-b1236030271c |
| Apply URL | https://jobs.ashbyhq.com/mercor/3e6e588a-c615-4653-96ce-b1236030271c/application |
| First Seen At | 2026-05-29 06:25:55Z |
| Last Seen At | 2026-06-06 09:21:37Z |
| Last Checked At | 2026-06-06 09:21:37Z |
| Last Changed At | 2026-05-29 06:25:55Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=mercor/date=2026-06-06/2026-06-06T09-21-01-699Z-54895e1da84fc7c39f2fb10eec58ccde13eafa9d3a21906c65077fbb39cfaabf.json |
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