Home › Companies › Eofe Fa Us2 Oraclecloud Com CX 1001 › Director, AI / Machine Learning Data Engineer
Director, AI / Machine Learning Data Engineer
Eofe Fa Us2 Oraclecloud Com CX 1001 · New York, NY, United States; 240 Greenwich Street,New York,NY, New York, NY, US · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Eofe Fa Us2 Oraclecloud Com CX 1001 |
| Title | Director, AI / Machine Learning Data Engineer |
| Normalized title | - |
| Department / team | AI / Machine Learning Data Engineering |
| Location | New York, NY, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-05-22 / 2026-05-31 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Eofe Fa Us2 Oraclecloud Com CX 1001. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in AI / Machine Learning Data Engineering. | 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 | Eofe Fa Us2 Oraclecloud Com CX 1001 |
| Source | 2ab30404-9fac-46ac-a11b-a1c843cac1c5 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
We’re seeking a future team member for the role of Director, AI / Machine Learning Engineer to join our AI Hub team. This role is located in New York, NY.
This role is located in our AI Hub and is focused on building AI-powered tools and platforms that improve the way engineers design, build, test, and operate software. This is a highly visible leadership opportunity for a hands-on technical leader who can combine deep applied AI expertise with strong software engineering judgment to deliver practical, scalable solutions in an enterprise environment while leading and developing a high-performing engineering team.
In this role, you’ll make an impact in the following ways:
Lead the design, development, and delivery of applied AI solutions hands-on, providing technical direction and execution leadership for machine learning and artificial intelligence products.
Bring deep knowledge of Applied AI, LLMs, fine tuning, model evaluation, and approaches to building fit-for-purpose models, copilots, and agents for engineering use cases.
Drive technical discovery, prototyping, and experimentation to evaluate tools, frameworks, and model approaches, translating findings into practical recommendations and scalable implementation plans.
Partner closely with engineering and business stakeholders to understand roadmaps, pain points, and workflows, and define success measures that demonstrate developer, engineering, and business impact.
Lead and manage a team of AI / machine learning engineers, supporting performance, coaching and development, and creating a strong culture of technical excellence, accountability, and collaboration.
Bring expertise in applying AI to improve the software development lifecycle and empower builders, designers, and developers through trusted, secure, and production-grade capabilities.
Contribute to the achievement of Application Development objectives by establishing strong practices across architecture, delivery, reliability, and responsible AI adoption.
To be successful in this role, we’re seeking the following:
Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required; advanced degree is beneficial.
12+ years of experience in software development required; experience in the securities or financial services industry is a plus.
Advanced experience, preferably 10+ years, in applied AI/ML, model development, and software engineering, including experience deploying solutions into production environments.
Demonstrated experience managing technical teams, mentoring engineers, and balancing people leadership with hands-on technical direction and delivery ownership.
Ability to lead as a hands-on technical leader, collaborating with, mentoring, and guiding engineers while driving architecture, implementation, and delivery decisions.
Strong understanding of enterprise software practices, MLOps / LLMOps, evaluation frameworks, and how to create secure, scalable, and sustainable AI architectures.
Ability to communicate technical ideas clearly and influence a range of audiences, including engineers, product partners, and senior business stakeholders.
Organization
At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn
Here’s a few of our recent awards:
America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune 2025
“Most Just Companies”, Just Capital and CNBC, 2025
Our Benefits and Rewards:
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting.
Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee’s eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, the employee will be in an “at will” position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Company
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
Full job record
| Job ID | d36ecb953573da866a3629b7b1cef3f825ba8109 |
| Org ID | 355f81e9-24d0-454a-b065-730624e2adc2 |
| Source ID | 2ab30404-9fac-46ac-a11b-a1c843cac1c5 |
| Board ID | 2ab30404-9fac-46ac-a11b-a1c843cac1c5 |
| Provider | oracle_hcm |
| Provider Job Key | 77728 |
| Title | Director, AI / Machine Learning Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York, NY, United States; 240 Greenwich Street,New York,NY, New York, NY, US |
| Department | AI / Machine Learning Data Engineering |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | Description We’re seeking a future team member for the role of Director, AI / Machine Learning Engineer to join our AI Hub team. This role is located in New York, NY. This role is located in our AI Hub and is focused on building AI-powered tools and platforms that improve the way engineers design, build, test, and operate software. This is a highly visible leadership opportunity for a hands-on technical leader who can combine deep applied AI expertise with strong software engineering judgment to deliver practical, scalable solutions in an enterprise environment while leading and developing a high-performing engineering team. In this role, you’ll make an impact in the following ways: Lead the design, development, and delivery of applied AI solutions hands-on, providing technical direction and execution leadership for machine learning and artificial intelligence products. Bring deep knowledge of Applied AI, LLMs, fine tuning, model evaluation, and approaches to building fit-for-purpose models, copilots, and agents for engineering use cases. Drive technical discovery, prototyping, and experimentation to evaluate tools, frameworks, and model approaches, translating findings into practical recommendations and scalable implementation plans. Partner closely with engineering and business stakeholders to understand roadmaps, pain points, and workflows, and define success measures that demonstrate developer, engineering, and business impact. Lead and manage a team of AI / machine learning engineers, supporting performance, coaching and development, and creating a strong culture of technical excellence, accountability, and collaboration. Bring expertise in applying AI to improve the software development lifecycle and empower builders, designers, and developers through trusted, secure, and production-grade capabilities. Contribute to the achievement of Application Development objectives by establishing strong practices across architecture, delivery, reliability, and responsible AI adoption. To be successful in this role, we’re seeking the following: Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required; advanced degree is beneficial. 12+ years of experience in software development required; experience in the securities or financial services industry is a plus. Advanced experience, preferably 10+ years, in applied AI/ML, model development, and software engineering, including experience deploying solutions into production environments. Demonstrated experience managing technical teams, mentoring engineers, and balancing people leadership with hands-on technical direction and delivery ownership. Ability to lead as a hands-on technical leader, collaborating with, mentoring, and guiding engineers while driving architecture, implementation, and delivery decisions. Strong understanding of enterprise software practices, MLOps / LLMOps, evaluation frameworks, and how to create secure, scalable, and sustainable AI architectures. Ability to communicate technical ideas clearly and influence a range of audiences, including engineers, product partners, and senior business stakeholders. Organization At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn Here’s a few of our recent awards: America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee’s eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, the employee will be in an “at will” position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Company At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | day |
| Source URL | https://eofe.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/77728 |
| Apply URL | https://eofe.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/77728 |
| First Seen At | 2026-05-31 17:58:43Z |
| Last Seen At | 2026-06-06 19:42:45Z |
| Last Checked At | 2026-06-06 19:42:45Z |
| Last Changed At | 2026-06-06 11:18:33Z |
| Inactive At | — |
| Source Posted At | 2026-05-22 14:30:20Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=eofe.fa.us2.oraclecloud.com|CX_1001/date=2026-06-06/2026-06-06T19-41-13-817Z-1b742d8f0726dbfed2af226cb270c5ebf81713f6cec3fa87d4da07fb11bab5e4.json |
Event Fields
{
"content_hash": "b7f3c6e6e688ef83c3de6446351e61fdeff64890863eada11e82c62fd103181c",
"source_hash": "0e5b5acb2335fd2b8fe308cb90e0a826f32092ac75e3ff712d8a4f3ab10c7b85",
"last_changed_at": "2026-06-06T11:18:33.358Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "New York, NY, United States",
"city": "New York",
"region": "NY",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T19:42:44.560Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "New York, NY, United States",
"city": "New York",
"region": "NY",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": null,
"salary_period": "day",
"workplace_type": null,
"salary_currency": null
}Extensions
{}Native Structured
{
"detail": {
"Id": "77728",
"Title": "Director, AI / Machine Learning Data Engineer",
"media": [],
"skills": [],
"JobType": null,
"Category": "AI / Machine Learning Data Engineering",
"JobGrade": null,
"JobLevel": null,
"JobShift": "Day",
"WorkDays": null,
"WorkHours": null,
"WorkYears": null,
"Department": null,
"HotJobFlag": false,
"StudyLevel": null,
"WorkMonths": null,
"WorkerType": null,
"GeographyId": 300000090214594,
"JobFamilyId": 300004319452500,
"JobFunction": "Tech - Software Engineering",
"JobSchedule": "Full time",
"BusinessUnit": null,
"ContractType": null,
"Organization": null,
"TrendingFlag": false,
"workLocation": [
{
"Country": "US",
"Region1": "New York",
"Region2": "NY",
"Region3": null,
"Building": null,
"Latitude": "40.71455001",
"Longitude": "-74.00714004",
"LocationId": 300000129875278,
"PostalCode": "10286",
"TownOrCity": "New York",
"AddressLine1": "240 Greenwich Street",
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "240 Greenwich Street,New York,NY"
}
],
"ContentLocale": "en",
"HiringManager": null,
"LegalEmployer": null,
"RequisitionId": 300009991382478,
"WorkplaceType": "",
"BusinessUnitId": 300000094081469,
"OrganizationId": 300000094736366,
"GeographyNodeId": 100010357091606,
"JobFunctionCode": "TSE",
"LegalEmployerId": 300000003582023,
"PrimaryLocation": "New York, NY, United States",
"RequisitionType": "Experienced",
"NumberOfOpenings": null,
"WorkplaceTypeCode": null,
"BeFirstToApplyFlag": false,
"otherWorkLocations": [],
"secondaryLocations": [],
"ExternalContactName": null,
"ShortDescriptionStr": "",
"ExternalContactEmail": null,
"ExternalPostedEndDate": "2026-07-31T00:00:00+00:00",
"OtherRequisitionTitle": null,
"requisitionFlexFields": [
{
"Value": "130000",
"Prompt": "Base Salary Min",
"ControlType": "TextArea",
"SequenceNumber": 12
},
{
"Value": "225000",
"Prompt": "Base Salary Max",
"ControlType": "TextArea",
"SequenceNumber": 21
}
],
"ApplyWhenNotPostedFlag": false,
"DomesticTravelRequired": null,
"ExternalDescriptionStr": "<p>We’re seeking a future team member for the role of Director, AI / Machine Learning Engineer to join our AI Hub team. This role is located in New York, NY. </p><p>This role is located in our AI Hub and is focused on building AI-powered tools and platforms that improve the way engineers design, build, test, and operate software. This is a highly visible leadership opportunity for a hands-on technical leader who can combine deep applied AI expertise with strong software engineering judgment to deliver practical, scalable solutions in an enterprise environment while leading and developing a high-performing engineering team.</p><p>In this role, you’ll make an impact in the following ways:</p><ul><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">Lead the design, development, and delivery of applied AI solutions hands-on, providing technical direction and execution leadership for machine learning and artificial intelligence products.</p></li><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">Bring deep knowledge of Applied AI, LLMs, fine tuning, model evaluation, and approaches to building fit-for-purpose models, copilots, and agents for engineering use cases.</p></li><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">Drive technical discovery, prototyping, and experimentation to evaluate tools, frameworks, and model approaches, translating findings into practical recommendations and scalable implementation plans.</p></li><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">Partner closely with engineering and business stakeholders to understand roadmaps, pain points, and workflows, and define success measures that demonstrate developer, engineering, and business impact.</p></li><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">Lead and manage a team of AI / machine learning engineers, supporting performance, coaching and development, and creating a strong culture of technical excellence, accountability, and collaboration.</p></li><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">Bring expertise in applying AI to improve the software development lifecycle and empower builders, designers, and developers through trusted, secure, and production-grade capabilities.</p></li><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">Contribute to the achievement of Application Development objectives by establishing strong practices across architecture, delivery, reliability, and responsible AI adoption.</p></li></ul><p style=\"margin-bottom: 0in; margin-top: 0in;\"> </p><p style=\"margin-bottom: 0in; margin-top: 0in;\">To be successful in this role, we’re seeking the following:</p><ul><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required; advanced degree is beneficial. </p></li><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">12+ years of experience in software development required; experience in the securities or financial services industry is a plus. </p></li><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">Advanced experience, preferably 10+ years, in applied AI/ML, model development, and software engineering, including experience deploying solutions into production environments.</p></li><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">Demonstrated experience managing technical teams, mentoring engineers, and balancing people leadership with hands-on technical direction and delivery ownership.</p></li><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">Ability to lead as a hands-on technical leader, collaborating with, mentoring, and guiding engineers while driving architecture, implementation, and delivery decisions.</p></li><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">Strong understanding of enterprise software practices, MLOps / LLMOps, evaluation frameworks, and how to create secure, scalable, and sustainable AI architectures.</p></li><li><p style=\"margin-bottom: 0in; margin-top: 0in;\">Ability to communicate technical ideas clearly and influence a range of audiences, including engineers, product partners, and senior business stakeholders.</p></li></ul>",
"ObjectVerNumberProfile": null,
"PrimaryLocationCountry": "US",
"CorporateDescriptionStr": "<p>At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.</p>Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.",
"ExternalPostedStartDate": "2026-05-22T14:30:20+00:00",
"ExternalQualificationsStr": "",
"InternalQualificationsStr": "",
"OrganizationDescriptionStr": "<p>At BNY, our culture speaks for itself, check out the latest BNY news at <a href=\"https://www.bny.com/corporate/global/en/about-us/newsroom.html\" target=\"_blank\" rel=\"nofollow\">BNY Newsroom</a> & <a href=\"https://www.linkedin.com/company/bnyglobal/posts/?feedView=all\" target=\"_blank\" rel=\"nofollow\">BNY LinkedIn</a></p>\n<p style=\"margin-bottom:0in\"> Here’s a few of our recent awards:</p>\n<ul style=\"margin-top:0in\">\n <li style=\"margin-bottom:0in\">America’s Most Innovative Companies, Fortune, 2025</li>\n <li style=\"margin-bottom:0in\">World’s Most Admired Companies, Fortune 2025</li>\n <li style=\"margin-bottom:0in\">“Most Just Companies”, Just Capital and CNBC, 2025</li>\n</ul>\n<ul></ul>\n<p>Our Benefits and Rewards:</p>\n<p>BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.</p>\n<p>BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.</p>\n<p>BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. </p>\n<p>Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee’s eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</p>\n<p>If hired, the employee will be in an “at will” position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.</p>",
"primaryLocationCoordinates": [
{
"Latitude": "40.58055",
"Longitude": "-74.00391",
"CountryCode": "US",
"GeographyId": 300000090214594,
"GeographyNodeId": 100010357091606
}
],
"ExternalResponsibilitiesStr": "",
"InternalResponsibilitiesStr": "",
"InternationalTravelRequired": null
},
"list_job": {
"Id": "77728",
"Title": "Director, AI / Machine Learning Data Engineer",
"JobType": null,
"Distance": 1779408000000,
"JobShift": null,
"Language": "US",
"WorkDays": null,
"JobFamily": null,
"Relevancy": 2,
"WorkHours": null,
"Department": null,
"HotJobFlag": false,
"PostedDate": "2026-05-22",
"StudyLevel": null,
"WorkerType": null,
"GeographyId": 300000090214594,
"JobFunction": null,
"JobSchedule": null,
"BusinessUnit": null,
"ContractType": null,
"ManagerLevel": null,
"Organization": null,
"TrendingFlag": false,
"workLocation": [
{
"Country": "US",
"Region1": "New York",
"Region2": "NY",
"Region3": null,
"Building": null,
"Latitude": 40.71455001,
"Longitude": -74.00714004,
"LocationId": 300000129875278,
"PostalCode": "10286",
"TownOrCity": "New York",
"AddressLine1": "240 Greenwich Street",
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "240 Greenwich Street,New York,NY"
}
],
"LegalEmployer": null,
"MediaThumbURL": null,
"WorkplaceType": "",
"BusinessUnitId": 300000094081469,
"OrganizationId": 300000094736366,
"PostingEndDate": null,
"LegalEmployerId": 300000003582023,
"PrimaryLocation": "New York, NY, United States",
"WorkDurationYears": null,
"WorkplaceTypeCode": null,
"BeFirstToApplyFlag": false,
"WorkDurationMonths": null,
"otherWorkLocations": [],
"secondaryLocations": [],
"ShortDescriptionStr": "",
"requisitionFlexFields": [],
"DomesticTravelRequired": null,
"PrimaryLocationCountry": "US",
"ExternalQualificationsStr": null,
"ExternalResponsibilitiesStr": null,
"InternationalTravelRequired": null
},
"detail_meta": {
"url": "https://eofe.fa.us2.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2277728%22,siteNumber=CX_1001",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 11231
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/d36ecb953573da866a3629b7b1cef3f825ba8109?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/355f81e9-24d0-454a-b065-730624e2adc2JSONGET https://api.bluedoor.sh/job-postings/v1/sources/2ab30404-9fac-46ac-a11b-a1c843cac1c5JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/d36ecb953573da866a3629b7b1cef3f825ba8109/eventsJSON