Home › Companies › Efds Fa Em5 Oraclecloud Com CX 5001 › Technical Program Manager – AI Orchestration & Intelligent Automation
Technical Program Manager – AI Orchestration & Intelligent Automation
Efds Fa Em5 Oraclecloud Com CX 5001 · Long Beach, CA, United States; Ford Electric Vehicle Development Center 1, Long Beach, CA, US · On Site · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Efds Fa Em5 Oraclecloud Com CX 5001 |
| Title | Technical Program Manager – AI Orchestration & Intelligent Automation |
| Normalized title | - |
| Department / team | Enterprise Technology |
| Location | Long Beach, CA, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-04-28 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-20 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Efds Fa Em5 Oraclecloud Com CX 5001. | 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 Long Beach. | Open |
| Department jobs | Active postings in Enterprise Technology. | 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 | Efds Fa Em5 Oraclecloud Com CX 5001 |
| Source | 7447964c-0485-4308-8c5d-3e9dc5668b3d |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
As Technical Program Manager for the ADVEV platform, you will be a key driver in orchestrating the delivery of software products for the next-gen EV Platform. You will work closely with senior-level management, Product Managers, Engineering Managers, and development teams to translate strategic roadmaps into tangible product features.
This is a "Builder-TPM" role that demands an AI-native approach, blending strategic product thinking, a software engineering mindset, and prompt engineering. You will not only manage delivery but will actively build prototypes and contribute to technical automation, leveraging agentic workflows and AI tools to optimize business capabilities and innovation within the ADVEV space at FORD.
Responsibilities
· Partner with Product and Engineering leadership to shape and operationalize the portfolio roadmap into AI-augmented delivery outcomes.
· Build and iterate on prototypes to validate roadmap objectives and translate them into structured execution plans: milestones, release slices, sequencing, and readiness gates.
· Drive iteration and release planning sessions through a product lens, ensuring scope, dependencies, and capacity are aligned and explicit.
· Facilitate targeted ceremonies and working sessions to drive decisions, unblock delivery, and maintain operational efficiency.
· Contribute to technical discussions as an execution integrator, connecting product, engineering, operations, security/compliance, procurement, and vendor stakeholders.
· Define and drive key execution metrics and dashboards (delivery health, readiness, quality, operational adoption), enabling proactive issue detection and resolution.
· Treat recurring program operations as engineering problems: prototype and build AI agents to automate reporting, status visibility, dependency tracking, and routine documentation.
· Lead and support the development of internal AI automation to accelerate the creation of PRDs, runbooks, executive summaries, and decision logs from raw inputs—improving consistency and reducing manual effort.
· Coordinate operational execution for vendor and licensing workflows as needed (renewals, seat tracking, approvals, procurement checkpoints).
· Ensure vendor-related dependencies (security, access, onboarding requirements) are planned early and do not become release blockers.
Qualifications
Minimum Qualifications
· Bachelor's degree in engineering, Computer Science, Information Technology, or related field.
· 5+ years of experience in Technical Program Management, Product Operations, or Software Engineering.
· AI-Native Skillset: Proficiency in prompt engineering and a track record of building agentic automation and chatbots to accelerate execution.
· The "Builder" Experience: Demonstrated experience building prototypes, contributing to codebases, or developing internal tools to solve complex problems.
· Product & Engineering Lens: Proven ability to bridge the gap between customer-centric product strategy and technical engineering execution.
· Demonstrated proficiency with Jira and Confluence (or equivalent tools) to run execution systems at scale.
Preferred Qualifications
· Technical Contribution: Experience using VS Code Copilot, Claude Code, or other AI-assisted tooling to write automation scripts, lightweight fixes, or build POCs instead of writing PRDs
· Experience with GCP, Mongo, and SQL to build dashboards, metrics, and operational reporting systems that drive proactive execution.
· Agile/Scrum leadership experience in automotive or highly integrated platform environments.
#LI-DS2
Full job record
| Job ID | 2d1916e59867bd878f7d5713694aa15f013f991f |
| Org ID | 4211d2a4-bbc6-4850-b51a-796b71dd1321 |
| Source ID | 7447964c-0485-4308-8c5d-3e9dc5668b3d |
| Board ID | 7447964c-0485-4308-8c5d-3e9dc5668b3d |
| Provider | oracle_hcm |
| Provider Job Key | 62704 |
| Title | Technical Program Manager – AI Orchestration & Intelligent Automation |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Long Beach, CA, United States; Ford Electric Vehicle Development Center 1, Long Beach, CA, US |
| Department | Enterprise Technology |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | Long Beach |
| Salary Raw | Description As Technical Program Manager for the ADVEV platform, you will be a key driver in orchestrating the delivery of software products for the next-gen EV Platform. You will work closely with senior-level management, Product Managers, Engineering Managers, and development teams to translate strategic roadmaps into tangible product features. This is a "Builder-TPM" role that demands an AI-native approach, blending strategic product thinking, a software engineering mindset, and prompt engineering. You will not only manage delivery but will actively build prototypes and contribute to technical automation, leveraging agentic workflows and AI tools to optimize business capabilities and innovation within the ADVEV space at FORD. Responsibilities · Partner with Product and Engineering leadership to shape and operationalize the portfolio roadmap into AI-augmented delivery outcomes. · Build and iterate on prototypes to validate roadmap objectives and translate them into structured execution plans: milestones, release slices, sequencing, and readiness gates. · Drive iteration and release planning sessions through a product lens, ensuring scope, dependencies, and capacity are aligned and explicit. · Facilitate targeted ceremonies and working sessions to drive decisions, unblock delivery, and maintain operational efficiency. · Contribute to technical discussions as an execution integrator, connecting product, engineering, operations, security/compliance, procurement, and vendor stakeholders. · Define and drive key execution metrics and dashboards (delivery health, readiness, quality, operational adoption), enabling proactive issue detection and resolution. · Treat recurring program operations as engineering problems: prototype and build AI agents to automate reporting, status visibility, dependency tracking, and routine documentation. · Lead and support the development of internal AI automation to accelerate the creation of PRDs, runbooks, executive summaries, and decision logs from raw inputs—improving consistency and reducing manual effort. · Coordinate operational execution for vendor and licensing workflows as needed (renewals, seat tracking, approvals, procurement checkpoints). · Ensure vendor-related dependencies (security, access, onboarding requirements) are planned early and do not become release blockers. Qualifications Minimum Qualifications · Bachelor's degree in engineering, Computer Science, Information Technology, or related field. · 5+ years of experience in Technical Program Management, Product Operations, or Software Engineering. · AI-Native Skillset: Proficiency in prompt engineering and a track record of building agentic automation and chatbots to accelerate execution. · The "Builder" Experience: Demonstrated experience building prototypes, contributing to codebases, or developing internal tools to solve complex problems. · Product & Engineering Lens: Proven ability to bridge the gap between customer-centric product strategy and technical engineering execution. · Demonstrated proficiency with Jira and Confluence (or equivalent tools) to run execution systems at scale. Preferred Qualifications · Technical Contribution: Experience using VS Code Copilot, Claude Code, or other AI-assisted tooling to write automation scripts, lightweight fixes, or build POCs instead of writing PRDs · Experience with GCP, Mongo, and SQL to build dashboards, metrics, and operational reporting systems that drive proactive execution. · Agile/Scrum leadership experience in automotive or highly integrated platform environments. #LI-DS2 |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/Ford-Model-e/job/62704 |
| Apply URL | https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/Ford-Model-e/job/62704 |
| First Seen At | 2026-05-31 18:03:02Z |
| Last Seen At | 2026-06-20 12:14:03Z |
| Last Checked At | 2026-06-20 12:14:03Z |
| Last Changed At | 2026-05-31 18:03:02Z |
| Inactive At | — |
| Source Posted At | 2026-04-28 14:42:38Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=efds.fa.em5.oraclecloud.com|CX_5001/date=2026-06-20/2026-06-20T12-12-57-503Z-5827eae1ed1accb3197f0328e565e6fd17d32d6a6b0dbfa918e2243764853358.json |
Event Fields
{
"content_hash": "4595a522adb6344f3ef04adc47d21f1a34acdebaa01eace79052072fe910320f",
"source_hash": "d2c7e323ea5bddce3270994b6bb0581b97a743f037d8c773c92c8df608a2da17",
"last_changed_at": "2026-05-31T18:03:02.830Z",
"active_status": "active"
}Parsed Structured
{
"dedupe": null,
"language": "en",
"location": {
"raw": "Long Beach, CA, United States",
"city": "Long Beach",
"region": "CA",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-20T12:14:03.364Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Long Beach, CA, United States",
"city": "Long Beach",
"region": "CA",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": null,
"salary_period": null,
"workplace_type": "on_site",
"salary_currency": null
}Extensions
{}Native Structured
{
"detail": {
"Id": "62704",
"Title": "Technical Program Manager – AI Orchestration & Intelligent Automation",
"media": [],
"skills": [],
"JobType": null,
"Category": "Enterprise Technology",
"JobGrade": null,
"JobLevel": null,
"JobShift": null,
"WorkDays": null,
"WorkHours": null,
"WorkYears": null,
"Department": null,
"HotJobFlag": false,
"StudyLevel": "Bachelor's Degree or equivalent",
"WorkMonths": null,
"WorkerType": null,
"GeographyId": 300000009170426,
"JobFamilyId": 300002487990164,
"JobFunction": "Enterprise Technology",
"JobSchedule": "Full time",
"BusinessUnit": null,
"ContractType": null,
"Organization": null,
"TrendingFlag": true,
"workLocation": [
{
"Country": "US",
"Region1": "Los Angeles",
"Region2": "CA",
"Region3": null,
"Building": null,
"Latitude": "33.82446",
"Longitude": "-118.10653",
"LocationId": 300003174776977,
"PostalCode": "90808",
"TownOrCity": "Long Beach",
"AddressLine1": "3555 E Conant St",
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "Ford Electric Vehicle Development Center 1"
}
],
"ContentLocale": "en",
"HiringManager": null,
"LegalEmployer": null,
"RequisitionId": 300007183464089,
"WorkplaceType": "On-site",
"BusinessUnitId": 300000004335154,
"OrganizationId": 300000004335154,
"GeographyNodeId": 100036559723009,
"JobFunctionCode": "ITS",
"LegalEmployerId": 300000004907524,
"PrimaryLocation": "Long Beach, CA, United States",
"RequisitionType": "Salary/Ford Full Time",
"NumberOfOpenings": null,
"WorkplaceTypeCode": "ORA_ON_SITE",
"BeFirstToApplyFlag": false,
"otherWorkLocations": [],
"secondaryLocations": [],
"ExternalContactName": null,
"ShortDescriptionStr": "As Technical Program Manager for the ADVEV platform, you will be a key driver in orchestrating the delivery of software products for the next-gen EV Platform. You will work closely with senior-level management, Product Managers, Engineering Managers, and development teams to translate strategic roadmaps into tangible product features.\n\nThis is a \"Builder-TPM\" role that demands an AI-native approach, blending strategic product thinking, a software engineering mindset, and prompt engineering. You will not only manage delivery but will actively build prototypes and contribute to technical automation, leveraging agentic workflows and AI tools to optimize business capabilities and innovation within the ADVEV space at FORD. ",
"ExternalContactEmail": null,
"ExternalPostedEndDate": null,
"OtherRequisitionTitle": null,
"requisitionFlexFields": [],
"ApplyWhenNotPostedFlag": true,
"DomesticTravelRequired": null,
"ExternalDescriptionStr": "<p>As Technical Program Manager for the ADVEV platform, you will be a key driver in orchestrating the delivery of software products for the next-gen EV Platform. You will work closely with senior-level management, Product Managers, Engineering Managers, and development teams to translate strategic roadmaps into tangible product features.</p>\n<p>This is a \"Builder-TPM\" role that demands an AI-native approach, blending strategic product thinking, a software engineering mindset, and prompt engineering. You will not only manage delivery but will actively build prototypes and contribute to technical automation, leveraging agentic workflows and AI tools to optimize business capabilities and innovation within the ADVEV space at FORD.</p>",
"ObjectVerNumberProfile": null,
"PrimaryLocationCountry": "US",
"CorporateDescriptionStr": "",
"ExternalPostedStartDate": "2026-04-28T14:42:38+00:00",
"ExternalQualificationsStr": "<p><strong>Minimum Qualifications</strong></p><p>· Bachelor's degree in engineering, Computer Science, Information Technology, or related field.</p><p>· 5+ years of experience in Technical Program Management, Product Operations, or Software Engineering.</p><p>· AI-Native Skillset: Proficiency in prompt engineering and a track record of building agentic automation and chatbots to accelerate execution.</p><p>· The \"Builder\" Experience: Demonstrated experience building prototypes, contributing to codebases, or developing internal tools to solve complex problems.</p><p>· Product & Engineering Lens: Proven ability to bridge the gap between customer-centric product strategy and technical engineering execution.</p><p>· Demonstrated proficiency with Jira and Confluence (or equivalent tools) to run execution systems at scale.</p><p><strong>Preferred Qualifications</strong></p><p>· Technical Contribution: Experience using VS Code Copilot, Claude Code, or other AI-assisted tooling to write automation scripts, lightweight fixes, or build POCs instead of writing PRDs</p><p>· Experience with GCP, Mongo, and SQL to build dashboards, metrics, and operational reporting systems that drive proactive execution.</p><p>· Agile/Scrum leadership experience in automotive or highly integrated platform environments.</p><p>#LI-DS2</p>",
"InternalQualificationsStr": "<p><strong>Minimum Qualifications</strong></p><p>· Bachelor's degree in engineering, Computer Science, Information Technology, or related field.</p><p>· 5+ years of experience in Technical Program Management, Product Operations, or Software Engineering.</p><p>· AI-Native Skillset: Proficiency in prompt engineering and a track record of building agentic automation and chatbots to accelerate execution.</p><p>· The \"Builder\" Experience: Demonstrated experience building prototypes, contributing to codebases, or developing internal tools to solve complex problems.</p><p>· Product & Engineering Lens: Proven ability to bridge the gap between customer-centric product strategy and technical engineering execution.</p><p>· Demonstrated proficiency with Jira and Confluence (or equivalent tools) to run execution systems at scale.</p><p><strong>Preferred Qualifications</strong></p><p>· Technical Contribution: Experience using VS Code Copilot, Claude Code, or other AI-assisted tooling to write automation scripts, lightweight fixes, or build POCs instead of writing PRDs</p><p>· Experience with GCP, Mongo, and SQL to build dashboards, metrics, and operational reporting systems that drive proactive execution.</p><p>· Agile/Scrum leadership experience in automotive or highly integrated platform environments.</p><p>#LI-DS2</p>",
"OrganizationDescriptionStr": "",
"primaryLocationCoordinates": [
{
"Latitude": "33.76672",
"Longitude": "-118.1924",
"CountryCode": "US",
"GeographyId": 300000009170426,
"GeographyNodeId": 100036559723009
}
],
"ExternalResponsibilitiesStr": "<p>· Partner with Product and Engineering leadership to shape and operationalize the portfolio roadmap into AI-augmented delivery outcomes.</p>\n<p>· Build and iterate on prototypes to validate roadmap objectives and translate them into structured execution plans: milestones, release slices, sequencing, and readiness gates.</p>\n<p>· Drive iteration and release planning sessions through a product lens, ensuring scope, dependencies, and capacity are aligned and explicit.</p>\n<p>· Facilitate targeted ceremonies and working sessions to drive decisions, unblock delivery, and maintain operational efficiency.</p>\n<p>· Contribute to technical discussions as an execution integrator, connecting product, engineering, operations, security/compliance, procurement, and vendor stakeholders.</p>\n<p>· Define and drive key execution metrics and dashboards (delivery health, readiness, quality, operational adoption), enabling proactive issue detection and resolution.</p>\n<p>· Treat recurring program operations as engineering problems: prototype and build AI agents to automate reporting, status visibility, dependency tracking, and routine documentation.</p>\n<p>· Lead and support the development of internal AI automation to accelerate the creation of PRDs, runbooks, executive summaries, and decision logs from raw inputs—improving consistency and reducing manual effort.</p>\n<p>· Coordinate operational execution for vendor and licensing workflows as needed (renewals, seat tracking, approvals, procurement checkpoints).</p>\n<p>· Ensure vendor-related dependencies (security, access, onboarding requirements) are planned early and do not become release blockers.</p>",
"InternalResponsibilitiesStr": "<p>· Partner with Product and Engineering leadership to shape and operationalize the portfolio roadmap into AI-augmented delivery outcomes.</p>\n<p>· Build and iterate on prototypes to validate roadmap objectives and translate them into structured execution plans: milestones, release slices, sequencing, and readiness gates.</p>\n<p>· Drive iteration and release planning sessions through a product lens, ensuring scope, dependencies, and capacity are aligned and explicit.</p>\n<p>· Facilitate targeted ceremonies and working sessions to drive decisions, unblock delivery, and maintain operational efficiency.</p>\n<p>· Contribute to technical discussions as an execution integrator, connecting product, engineering, operations, security/compliance, procurement, and vendor stakeholders.</p>\n<p>· Define and drive key execution metrics and dashboards (delivery health, readiness, quality, operational adoption), enabling proactive issue detection and resolution.</p>\n<p>· Treat recurring program operations as engineering problems: prototype and build AI agents to automate reporting, status visibility, dependency tracking, and routine documentation.</p>\n<p>· Lead and support the development of internal AI automation to accelerate the creation of PRDs, runbooks, executive summaries, and decision logs from raw inputs—improving consistency and reducing manual effort.</p>\n<p>· Coordinate operational execution for vendor and licensing workflows as needed (renewals, seat tracking, approvals, procurement checkpoints).</p>\n<p>· Ensure vendor-related dependencies (security, access, onboarding requirements) are planned early and do not become release blockers.</p>",
"InternationalTravelRequired": null
},
"list_job": {
"Id": "62704",
"Title": "Technical Program Manager – AI Orchestration & Intelligent Automation",
"JobType": null,
"Distance": 1777334400000,
"JobShift": null,
"Language": "US",
"WorkDays": null,
"JobFamily": null,
"Relevancy": 5,
"WorkHours": null,
"Department": null,
"HotJobFlag": false,
"PostedDate": "2026-04-28",
"StudyLevel": null,
"WorkerType": null,
"GeographyId": 300000009170426,
"JobFunction": null,
"JobSchedule": null,
"BusinessUnit": null,
"ContractType": null,
"ManagerLevel": null,
"Organization": null,
"TrendingFlag": true,
"workLocation": [
{
"Country": "US",
"Region1": "Los Angeles",
"Region2": "CA",
"Region3": null,
"Building": null,
"Latitude": 33.82446,
"Longitude": -118.10653,
"LocationId": 300003174776977,
"PostalCode": "90808",
"TownOrCity": "Long Beach",
"AddressLine1": "3555 E Conant St",
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "Ford Electric Vehicle Development Center 1"
}
],
"LegalEmployer": null,
"MediaThumbURL": null,
"WorkplaceType": "On-site",
"BusinessUnitId": 300000004335154,
"OrganizationId": 300000004335154,
"PostingEndDate": null,
"LegalEmployerId": 300000004907524,
"PrimaryLocation": "Long Beach, CA, United States",
"WorkDurationYears": null,
"WorkplaceTypeCode": "ORA_ON_SITE",
"BeFirstToApplyFlag": false,
"WorkDurationMonths": null,
"otherWorkLocations": [],
"secondaryLocations": [],
"ShortDescriptionStr": "As Technical Program Manager for the ADVEV platform, you will be a key driver in orchestrating the delivery of software products for the next-gen EV Platform. You will work closely with senior-level management, Product Managers, Engineering Managers, and development teams to translate strategic roadmaps into tangible product features.\n\nThis is a \"Builder-TPM\" role that demands an AI-native approach, blending strategic product thinking, a software engineering mindset, and prompt engineering. You will not only manage delivery but will actively build prototypes and contribute to technical automation, leveraging agentic workflows and AI tools to optimize business capabilities and innovation within the ADVEV space at FORD. ",
"requisitionFlexFields": [],
"DomesticTravelRequired": null,
"PrimaryLocationCountry": "US",
"ExternalQualificationsStr": null,
"ExternalResponsibilitiesStr": null,
"InternationalTravelRequired": null
},
"detail_meta": {
"url": "https://efds.fa.em5.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2262704%22,siteNumber=CX_5001",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 10734
},
"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/2d1916e59867bd878f7d5713694aa15f013f991f?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/4211d2a4-bbc6-4850-b51a-796b71dd1321JSONGET https://api.bluedoor.sh/job-postings/v1/sources/7447964c-0485-4308-8c5d-3e9dc5668b3dJSONGET https://api.bluedoor.sh/job-postings/v1/jobs/2d1916e59867bd878f7d5713694aa15f013f991f/eventsJSON