Home › Companies › Mercor › Engineering Manager, Applied AI
Engineering Manager, Applied AI
Mercor · San Francisco · On Site · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Mercor |
| Title | Engineering Manager, Applied AI |
| 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 We’re hiring Engineering Managers to lead teams within our Applied AI organization.
Applied AI builds systems that directly improve model quality, including evaluation infrastructure, annotation products, and emerging multimodal capabilities. You’ll lead a team of engineers, partner with product and research, and help define how Mercor stays at the frontier of AI.
You will also build partnerships with leading AI labs and directly contribute to improving the quality of frontier models through data, evaluation, and systems.
This role requires high ownership and abstraction: setting direction, driving outcomes, and staying hands-on while leading.
What You’ll Work On Build and scale teams Manage and grow a team of 6–10 engineers
Coach and develop high-potential engineers
Establish strong ownership, culture, and execution standards
Shape the team: define hiring processes, establish engineering practices, and scale a high-performing team from the ground up
Drive Applied AI systems and outcomes Drive insights and methodology behind evaluation systems that benchmark and improve model performance
Lead development while driving improvements in data quality, operational efficiency, system stability, and scalability
Scale products that generate high-quality training data and improve human-in-the-loop workflows
Own technical direction Lead system design for complex AI systems
Stay close to the technical work and guide engineers through ambiguous problems
Translate high-level AI goals into clear engineering roadmaps and execution plans
Operate across a broad scope Partner with product, research, operations, and external AI labs
Work across systems, data insights, and custom partnerships to drive model quality
Shape the organization Introduce lightweight processes as the organization scales
Hire and develop strong engineering talent
Help define engineering management at Mercor
What We’re Looking For 6–10 years in engineering; 2–3+ years managing teams
Strong background in building scalable systems
Ability to lead in ambiguous environments with sound technical judgment
Proven ability to coach engineers and drive execution
Strong ownership mindset with pragmatic decision-making
Who Thrives Here
We’re looking for engineering leaders who take ownership in ambiguous environments, make pragmatic decisions, and consistently deliver measurable impact.
Success Metrics Build high-performing, well-supported teams
Hire and retain strong engineers
Improve team velocity and execution quality
Contribute to systems that measurably improve model performance
Location San Francisco (preferred) or New York
Relocation assistance will be provided as needed
Why This Role Direct impact on frontier AI development
Build partnerships with leading AI labs and shape how frontier models improve
High ownership across team, systems, and hiring
Opportunity to shape a rapidly scaling organization
Work at the intersection of engineering, product, data, and AI
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
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| Source ID | 8a2bb184-0550-471f-814d-47b207e73710 |
| Board ID | 8a2bb184-0550-471f-814d-47b207e73710 |
| Provider | ashby |
| Provider Job Key | b39b38ad-6b71-40da-854f-4a5de2657b50 |
| Title | Engineering Manager, Applied AI |
| 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/b39b38ad-6b71-40da-854f-4a5de2657b50 |
| Apply URL | https://jobs.ashbyhq.com/mercor/b39b38ad-6b71-40da-854f-4a5de2657b50/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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