Ford Motor Company

Customer Success Manager

• Develop and oversee the holistic CRM roadmap for the commercial segment, focusing on lead generation, conversion, retention, and advocacy.
• Define Key Performance Indicators (KPIs) for CRM health and campaign effectiveness.
• Stay ahead of B2B/Commercial trends to ensure our outreach remains competitive and relevant to fleet owners and business operators.
• Design and document end-to-end customer journeys for various commercial personas and pillars (e.g., Small Business Owners, Fleet Managers, Government Entities).
• Identify "moments of truth" and friction points in the current customer experience and propose strategic interventions.
• Develop multi-channel orchestration strategies (Email, SMS, Push, In-vehicle, and Direct Sales) to ensure a seamless brand experience.
• Utilize a "test and learn" philosophy to constantly optimize journeys through A/B testing and behavioral.
• Support the audience segmentation strategy, moving beyond basic demographics to behavioral and intent-based targeting.
• Oversee the "logic" of audience inclusion/exclusion to ensure message relevancy and prevent "marketing fatigue."
• Work closely with data teams to ensure data hygiene and that the right data signals are available for personalization.
• Act as the "Business Owner" for CRM, translating high-level business requirements into detailed functional requirements for the IT and MarTech teams.
• Collaborate with Creative and Content teams to ensure the brand voice is consistent across all automated journeys.
• Communicate strategy and performance results to senior leadership, providing insights on customer behavior and ROI.

Commercial Specialist, CRM

Product Manager

• Own the roadmap and execution of the Data Quality monitor.
• Define and evolve standard, certified metrics for product health and data quality, prioritized by business impact
• Product-manage the Data Quality Monitor as a platform, not a collection of reports.
• Drive adoption and usability so teams can independently answer questions without ad-hoc support.
• Make clear decisions on what capabilities are self-serve versus explicitly unsupported.
• Lead cross-functional alignment across Engineering, Data Architecture, and Business teams to navigate trade-offs related to scale, performance, and data correctness.
• Act as a strategic partner to senior leadership by translating complex data quality metrics into clear business impact and ROI narratives.
• Establish, document, and evangelize data governance and data quality standards across Ford Pro and partner organizations.
• Provide product leadership for complex investigations and triage, driving root cause resolution and long-term platform improvements rather than repeated manual intervention

Technical Data Product Management

Systems Engineer

• Support the design, development and analysis of an integrated suite of hardware, software and sensor technologies enabling the deployment of ADAS features such as Adaptive Cruise Control (ACC), Lane Departure Warning (LDW), Automatic Emergency Braking (AEB), Collision Avoidance, Parking Assistance, and more.
• Support the design and development of the technical architecture for the next generation ADAS platform, ensuring the design meets functional and performance requirements.
• Ensure designs meet ADAS features performance, safety, and regulatory standards, including compliance with ISO 26262 (functional safety), and cybersecurity standards.
• Collaborate with cross-functional teams to define system-level requirements, integrate hardware/software components, and ensure compliance with automotive standards.
• Provide support for troubleshooting and resolving issues related to the ADAS platform system SoC integration, performance, and system software.

ADAS Systems Engineer

Platform Engineer

• Develop and maintain user interface (visual presentation of user journeys) in accordance with the Ford Standards and Ford Design Team provided specifications.
• Research, engineer, develop, and support the front-end web experience for the platform.
• Build and maintain solutions that comply with Ford Information Security policy, architectural patterns and development standards.
• Work with the Product Owner and Designers to ensure solutions meet Ford consumer needs.
• Use modern software development Agile methodologies to deliver high-quality software on time and on budget.
• Use modern software delivery pipelines to automate the deployment and testing of software and platform features.
• Create and maintain automation tests.
• Contribute to the development and implementation of customer identity and access management strategies and roadmap.
• Create and maintain technical documentation for team and integrating applications (e.g., architecture diagrams, API documentation, coding standards, operational processes, procedures, configurations, application onboarding tips, etc.).
• Support general platform-related activities (e.g., assisting applications with onboarding and troubleshooting integration with the platform, day-to-day operations of requests, incidents, and problems).
• Provide collaborative 24/7 support for the platform (e.g., outage support, application monitoring, other security activities).

Customer Identity Front-End Engineer

Engineer

• Support Design Competitions to optimize costs and ensure program profitability
• Manage milestone cadence within GPDS parameters
• Lead milestone assessments, communication documents and reporting up to Director levels
• Collect and enter Integrator assessments
• Lead TPMT (Transmission Product Management Team) for your commodity
• Oversee commodity timing to align with program schedules
• Develop actionable work plans to address commodity issues, escalating as needed up thru director level
• Acting as the primary point of contact for Power Unit matters in Program PMT meetings
• Manage the commodity financials
• Coordinate with Purchasing, Systems Engineering, Finance
• Manage BOM/FEDE-BOM and support WERS release activities

Ebeam Industrialization Engineer

DevOps Engineer

• Initiate Jira’s and interface with the IVI software product owners/developers for resolution of issues. Along with timing to support program milestones.
• Perform initial triage analysis of Bug Reports, logs, and CAN data to expedite issue resolution.
• IVI feature expert on Program specific content, feature operations, and EOL configurations.
• Drive resolution of software related issues and collaborate with other Ford cross-functional teams on root cause.
• Onsite plant support for functional audits, and End of Line (EOL) issue resolution. Gather data and lead troubleshooting/analysis of all IVI software issues.
• Manage/perform onsite IVI loose stock and vehicle on wheels software reflashes to support builds at the plant.
• Manage module software pedigree and deliveries, from build to print supplier, to support program build timing.
• Champion software release documentation and approvals for IVI software driven changes

In-Vehicle Infotainment Software Design, Release Engineer

• Develop transmission gears, planetary assemblies, shafts and driveline axle shaft components in conjunction with powertrain systems teams, manufacturing teams, and global suppliers.
• Lead component design, analysis, failure mode avoidance (FMA), and test validation.
• Utilize project management skills to deliver programs on time, communicate all risks, track changes and maintain documentation.

Product Development Engineer – Transmission Mechanical Components

Manager

• The Go-Live Manager plays a pivotal role in our core modernization program by leading end-to-end launch readiness and execution across technical, operational, and business workstreams.
• This individual will coordinate go-live planning, cutover readiness, dress rehearsal execution, command center preparation, procedure and training readiness, and launch stabilization for the Program Everest / Alfa Receivables implementation.
• They partner closely with the UAT & Go-Live Manager, business stakeholders, Product, Engineering, Operations, Center of Excellence (COE), Training, Org Change Management, Compliance, Legal, and support teams to ensure launch milestones, dependencies, risks, and decision points are managed effectively. This role serves as the central coordinator for go-live execution, readiness tracking, escalation management, and post-launch stabilization.

Transformation Go-Live Manager

Infrastructure Engineer

• You will architect and scale the cloud infrastructure foundation powering Ford’s next-generation Software Diagnostics & Observability platform.
• You will shape infrastructure modernization and automation initiatives as well as architect and use GCP in an enterprise environment with multiple user profiles with high level of autonomy and visibility.
• This opportunity will design resilient, production-grade infrastructure automation frameworks and directly influence how next-generation connected vehicles detect, diagnose, and recover from software and electronics failures in production environments.

Senior Cloud Infrastructure Engineer, Connected Vehicle Division

• Partner with cross-functional teams to define "what" a vehicle needs to observe. You will write the technical requirements that govern how ECUs log data and how the Cloud interprets it.
• Bridge the gap between Embedded C++ firmware and Cloud-based Python microservices. You will ensure that the "handshake" between the vehicle and the AI reasoning engine is seamless and scalable.
• Help mature the intelligent diagnostic workflows, ensuring the AI has the right "context" (DTCs, PIDs, and logs) to perform automated root-cause analysis.
• Lead the system integration testing, simulating complex failures to ensure our End-to-End (E2E) pipeline triggers the correct alerts and human-support processes.
• Analyze real-world telemetry to refine requirements and iterate on the next generation of diagnostic capabilities.
• Define the specific telemetry hooks (logs, metrics, and traces) required from embedded ECUs to power cloud-based AI reasoning.
• Build and validate the "Diagnostic Loop"—the path from a vehicle fault code (DTC) to an AI-generated repair recommendation.
• Define the API contracts between the vehicle's embedded gateway and the cloud-based diagnostic orchestrator.
• Quantify the accuracy of AI diagnostic models by designing and running validation tests against known vehicle "ground truth" data.
• Engineer AI-powered diagnostic capabilities that combine vehicle signals (DTCs, PIDs, Ethernet logs) with LLM-based reasoning to automate root-cause isolation.
• Define the requirements for "Vehicle Telemetry 2.0"—determining exactly what traces, metrics, and logs are needed from the embedded layer to power cloud-based dashboards and real-time alerts.
• Work across silos to ensure that a software glitch in a Zone Controller is seamlessly captured, uploaded to the cloud, and analyzed by an AI agent to guide a technician’s next-best action.
• Design frameworks to evaluate how our AI systems interpret diagnostic evidence, ensuring grounding, traceability, and "explainability" in every repair recommendation.

• Partner with cross-functional teams to define "what" a vehicle needs to observe, write the technical requirements (ECU logging/Cloud interpretation), and lead the integration through to global production monitoring.
• Define and enforce the "Definition of Done" for diagnostic workflows. You are essential to ensuring that code is not only functional but observable, maintainable, and meets Ford’s rigorous production benchmarks.
• Tailor system behavior and data visualization for a diverse user base. Ensure a 3rd-party technician gets a "repair hint," a remote driver experiences a seamless fix, and an enterprise engineer receives high-fidelity raw telemetry.
• Distill complex system telemetry into actionable insights. You must be able to communicate technical tradeoffs and root-cause analyses clearly to both deep-tech engineering teams and non-technical leadership.
• Engineer AI-powered diagnostic capabilities that combine vehicle signals (DTCs, PIDs, Ethernet logs) with LLM-based reasoning (RAG) to automate root-cause isolation.
• Lead system integration testing and simulate complex failure modes (FMEA) to ensure our E2E pipeline triggers the correct alerts and human-in-the-loop support processes.

Systems Engineer – End-to-End Software Diagnostics, Observability

Designer

• Develop both conceptual and production based on Interior solutions in the form of sketch, rendering and 3D digital models.
• Create compelling and innovative interior design experiences and visions for Design Projects.
• Explore Human Centered Design experience with emphasis in Interior Design holistic experience.
• Coordinate the work of other design personnel to achieve holistic design visions.
• Create future brand focused design visions.
• Span digital and physical (software and hardware) thinking.
• Problems solve around topics of connectivity, mobility, and consumer segments.

Industrial Designer – Components

Program Manager

• Program Manager of Hybrid Electric unit program managing delivery through all Milestones from kickoff through to launch of the vehicle program.
• Interface with the Ford Planning organization, Ford Racing Engineering, Finance and the Supply base to manage xHEV deliverables that are compatible across several program applications.

• Lead Design and Release work for ADAS component per the Global Product Development System (GPDS) process on various vehicle programs.
• Provide cost-efficient and quality parts on time, maintaining ownership and governance of component-specific robustness quality documentation (DFMEA, DVP&R, SCAAF, etc.).
• Support the Sourcing Process, including investment, piece price, and tooling cost reviews, and prepare initial and final sourcing documents including ESOW, Engineering Specifications, System and Component requirements.
• Manage and execute hardware releases for prototype, production, and service.
• Lead and perform Failure Mode Avoidance and Functional Safety analyses to examine potential failure modes and design suitable prevention strategies.
• Conduct Technical Design Reviews, interfacing with Ford core activities and supplier engineering (software, hardware, mechanical, etc.).
• Support the electrical distribution team by submitting related E/E information like Design Transmittals, specifications, and electrical diagrams.
• Support Vehicle Operations activities to determine appropriate assembly and testing processes.
• Interface with cross-functional teams to ensure compliance with required specifications and efficient critical decision-making.
• Complete program-related work such as Bill of Materials (BOM), integration and packaging, parts release, requirements compliance, Engineering Signoff, 2-pagers, and AIMs. Ensure program deliverables are met on time and with the highest quality, including FEDEBOM, Global Integrator DRP, Packaging/Digital Buck, DPA Checks, WERS, FMA, Subsystem/Supplier work plans, DVP&R, and Engineering Sign-off.
• Analyze data, identify root causes of issues, and develop corrective actions to optimize processes and achieve desired outcomes. Strong systems engineering approach to problem-solving and design. Drive troubleshooting and development of solutions for Hardware, Software, and packaging issues found during validation and launch using problem-solving best practices (Is/Is not, 3L5W, fishbones, etc.) with various experts.
• Support prototype and vehicle launches, which may require travel.
• Identify validation, durability, and functional testing required for a given program’s change scope.
• Support ongoing warranty reduction and improvements.
• Support Total Vehicle Management activities.

ADAS Design & Release Engineer

• Standardize Program Management Practices: Champion and enforce consistent program management standards across the Data Platform & Engineering organization, promoting alignment, efficiency and transparency
• Collaborate and Align with Product Teams: Work closely with a team of program managers and multiple product line teams daily to implement the operating model and reporting standards
• Drive Process Adherence and Knowledge Capture: Drive adherence to program management processes, ensuring that all relevant artifacts are consistently captured and stored for future reference and auditability.
• End-to-End Application Understanding: Develop and maintain a comprehensive understanding of the Data Platform & Engineering organization landscape to proactively identify and address blockers, gaps, and dependencies in collaboration with the relevant teams.
• Facilitate Iteration and Quarterly Planning: Utilize Jira to effectively manage the iteration and quarterly planning process for multiple product teams, ensuring smooth execution and alignment with strategic goals.
• Maintain Data Integrity: Ensure that team commitments are accurately reflected in the program management tool (Jira), providing a single source of truth for project status and progress.
• Ensure Epic Quality: Validate that Epics are well-defined and that estimates are accurate, with continuous refinement as new requirements emerge, leading to more predictable delivery.
• Manage Scope, Risks, and Issues: Diligently enter and track scope changes, issues, and risks within Jira, adhering to program guidelines to ensure transparency and proactive mitigation.
• Resolve Billing Discrepancies: Investigate and resolve billing discrepancies identified by the finance team within Jira, ensuring accurate financial tracking and reporting.