Job DescriptionIn this position...
Ford Credit Technology Team is seeking an experienced Software Engineering Manager who is skilled in software engineering practices. The Software Engineering Manager will lead a team of Software Engineers and a Technical Program Manager based out of Dearborn, MI and will be responsible to manage and deliver capabilities for FordPay (eCommerce digital payments).
This role will collaborate directly and continuously with Software Engineers, Product Managers, Designers, Architects, and Product Owners to build, validate, and release software products early and often in a dynamic and collaborative environment, with a strong focus on payment reliability, security, and compliance.
The ideal candidate brings deep experience in payment processing systems (credit card flows), PSP integrations (Stripe), modern cloud-native engineering, and operational excellence for high-availability platforms.
Crucially, this leader will champion the modernization of our engineering lifecycle by guiding the team in leveraging AI-enabled software development, AI-driven quality assurance, and AI-powered operational resilience (AIOps) to accelerate delivery, optimize quality, and ensure maximum platform uptime.ResponsibilitiesWhat you'll do...- People & AI-Driven Leadership: Provides hands-on leadership and supervision for a software development team, fostering a culture of continuous learning and adaptation to modern, AI-augmented engineering workflows.
- Payment Delivery: Owns end-to-end delivery of FordPay payment capabilities, including credit/debit card processing flows (authorization, capture, settlement, refunds).
- PSP Integrations: Leads integrations and ongoing lifecycle management of Payment Service Providers (PSPs), with Stripe as the primary provider.
- Technical Architecture: Facilitates technical architecture discussions around application functionality, payment domain modeling, integration patterns, and the integration of AI capabilities where appropriate.
- Transaction Integrity: Ensures transaction integrity through proven payment engineering patterns (idempotency, deduplication, retries, and safe reconciliation).
- AI-Enabled Software Development: Drives the adoption of AI-assisted coding tools (e.g., GitHub Copilot) to accelerate code generation, optimize refactoring, improve code readability, and reduce time-to-market while adhering to secure coding standards.
- AI-Enabled Quality Assurance: Establishes and champions AI-driven testing frameworks and strategies, utilizing intelligent test generation, predictive defect analysis, and automated test-suite optimization to drastically reduce regression cycles and ensure robust coverage.
- AI-Powered Operational Resilience (AIOps): Evolves the platform's observability and reliability strategy by leveraging AI/ML-driven monitoring tools for predictive anomaly detection, proactive incident prevention, and automated root-cause analysis (RCA) of payment flows.
- Product Partnership: Partners with Product Managers to develop and evolve payment experiences used by Ford customers across eCommerce journeys.
- Risk & Compliance Mitigation: Actively identifies risks (e.g., PSP dependency, latency, fraud/chargeback exposure, compliance gaps) and implements mitigation and contingency plans, ensuring AI-generated code and tools comply with security (PCI DSS) and IP guidelines.
- Metrics & Telemetry: Verifies that delivered software meets desired business outcomes (payment success rates, reliability, customer experience, and operational readiness) using both traditional telemetry and AI-driven predictive insights.
- Incident Management: Reviews ongoing production operations; leads incident response and post-incident reviews (postmortems/RCAs) to prevent recurrence, utilizing AI-assisted diagnostics to speed up resolution times.
- Security & Compliance: Ensures secure payment design and compliance posture in partnership with Security/Compliance teams (e.g., PCI DSS controls, secure token handling).
- Agile Practices: Actively participates in all team Agile ceremonies and champions Agile software processes, culture, best practices, and techniques.
- Talent Development: Develops engineering, professional, and career-related skills for engineers through coaching, mentorship, feedback, and collaborative practices-specifically preparing the workforce for the future of AI-augmented engineering.
QualificationsYou'll have...- Bachelor's degree in information technology or computer science, or similar discipline.
- 10+ years of experience in a Software Engineering role with people leadership experience (engineering management).
- Experience leading engineering teams in adopting and optimizing AI-assisted software development tools (e.g., GitHub Copilot, Gemini Code Assist, or similar AI coding assistants) to drive developer velocity and code quality.
- Familiarity with AIOps concepts, including the use of machine learning for predictive telemetry, automated anomaly detection, and self-healing systems in high-availability environments.
- Hands-on understanding or experience with AI-driven QA automation, predictive testing tools, and modern AI-powered testing methodologies.
- Strong knowledge of Java, JavaScript, React, Spring Boot, and building API-first microservices.
- Experience building cloud-native solutions (Google Cloud Platform preferred) and operating high-availability systems.
- Experience working with DevOps/Security tools like GitHub, Cloud Build, Tekton, 42Crunch, FOSSA, SonarQube, Cycode, etc.
- Strong leadership and communication skills and the ability to coach, teach, and guide teams through technological paradigm shifts (such as the integration of AI in software engineering).
Even better, you may have...- Payments domain experience: credit/debit card processing flows, integration with PSPs (Stripe preferred), tokenization/vaulting concepts, refunds and dispute/chargeback handling.
- Strong knowledge of SQL, NoSQL, and cloud-native databases.
- Strong knowledge of Software Craftsmanship practices including TDD, Clean Code, Refactoring, etc.
- Knowledge of Agile software methodologies (Scrum, eXtreme Programming, etc.).
- Familiarity with security and compliance expectations for payment systems (PCI DSS, secure data handling, encryption, access controls).
- Ability to work collaboratively with others and navigate complex decision making.
- Ability to collaborate well with product managers, designers, architects, and business partners.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year's Day
- Paid time off and the option to purchase additional vacation time.
This position is a salary grade 6 and ranges from $85,400-$143,200.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/LL6
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
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