bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesMercorEngineering Manager, Applied AI

Engineering Manager, Applied AI

Mercor · San Francisco · On Site · Active · Ashby

Job facts

FieldValue
CompanyMercor
TitleEngineering Manager, Applied AI
Normalized title-
Department / teamEngineering / Engineering
LocationSan Francisco, CA, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Mercor.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMercor
Source8a2bb184-0550-471f-814d-47b207e73710
ATS providerAshby

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

Job ID5a5152a9a2f0b43ec83ccad2fd132dfa74cfc7be
Org ID3454cf47-ee94-47fc-918e-00dca2cf958a
Source ID8a2bb184-0550-471f-814d-47b207e73710
Board ID8a2bb184-0550-471f-814d-47b207e73710
Providerashby
Provider Job Keyb39b38ad-6b71-40da-854f-4a5de2657b50
TitleEngineering Manager, Applied AI
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/mercor/b39b38ad-6b71-40da-854f-4a5de2657b50
Apply URLhttps://jobs.ashbyhq.com/mercor/b39b38ad-6b71-40da-854f-4a5de2657b50/application
First Seen At2026-05-29 06:25:55Z
Last Seen At2026-06-06 09:21:37Z
Last Checked At2026-06-06 09:21:37Z
Last Changed At2026-05-29 06:25:55Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=mercor/date=2026-06-06/2026-06-06T09-21-01-699Z-54895e1da84fc7c39f2fb10eec58ccde13eafa9d3a21906c65077fbb39cfaabf.json
Event Fields
{
  "content_hash": "770667b50f178572d31a82fc877cc9b3349c34936597ef56ee4c23a8dbdb6c6f",
  "source_hash": "b1578fd2b5c420afaf9882105d401309a49b7dfd18b8e50b4fa74580e148983b",
  "last_changed_at": "2026-05-29T06:25:55.233Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "San Francisco",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T09:21:37.596Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "id": "b39b38ad-6b71-40da-854f-4a5de2657b50",
  "team": "Engineering",
  "title": "Engineering Manager, Applied AI",
  "jobUrl": "https://jobs.ashbyhq.com/mercor/b39b38ad-6b71-40da-854f-4a5de2657b50",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/mercor/b39b38ad-6b71-40da-854f-4a5de2657b50/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Francisco",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": [
    {
      "location": "New York City"
    }
  ]
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/5a5152a9a2f0b43ec83ccad2fd132dfa74cfc7be?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/3454cf47-ee94-47fc-918e-00dca2cf958aJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/8a2bb184-0550-471f-814d-47b207e73710JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/5a5152a9a2f0b43ec83ccad2fd132dfa74cfc7be/eventsJSON