Sr. Engineering Manager

Ford Model e U.S.Dearborn, MichiganHybridFull-timePrincipal, 12–15+ yearsListed 42 minutes ago

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About this role

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

This role demands a leader who can navigate complex technical challenges, influence broadly, and ensure our technology stack is a competitive differentiator for Ford Pro Integrated Services.
Candidates who are in commuting distance to a Ford hub location may be required to be onsite 4 or more days per week.

You'll have...

- Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, OR an equivalent combination of relevant education and experience.

Experience

- 10+ years of progressive experience in software engineering, with at least 3+ years in a lead architecture or engineering management role focused on large-scale distributed systems. Proven track record of designing, building, and scaling complex, high-performance, highly available software platforms in a cloud-native environment (Azure, AWS, GCP).
- Demonstrated expertise in modern architectural patterns, including microservices, event-driven architectures, and API design principles.
- Significant experience with frontend architectural patterns, specifically micro frontends, and their implementation for large-scale, unified user experiences.
- Deep understanding of data modeling, database technologies (relational and NoSQL), and data migration strategies for complex systems.
- Prior experience transitioning internal tools or platforms to external-facing, multi-tenant products is highly desirable.
- Experience with strategic partner integrations, including defining robust API strategies and managing external technical dependencies.
- Exposure to data platforms or analytics architecture (for example, partnering with data engineering teams on pipelines, telemetry, or reporting infrastructure) is a plus, but not required.

Technical Skills

- Proficiency in one or more modern programming languages such as Java, Python, or Go, and related frameworks.
- Strong understanding of containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
- Expertise in designing for security, observability, and operational excellence.
- Strong expertise (5+ years preferred) designing and building complex single-page applications and user interfaces using React, Next.js, and similar frameworks.
- Familiarity with data platform concepts, such as streaming/event platforms and cloud data warehouses, sufficient to collaborate effectively with data engineering partners.

Leadership & People Skills

- Exceptional strategic thinking and problem-solving abilities, with the capacity to translate complex business challenges into clear technical solutions.
- Outstanding communication, presentation, and interpersonal skills, with the ability to influence and build consensus across all levels of the organization.
- Proven ability to mentor and develop senior engineering talent.
- Pragmatic approach to architecture, balancing innovation with practical implementation constraints and business needs.

Even better, you may have...

- Master's Degree in Computer Science, Computer Engineering, Systems Engineering or related field
- Hands-on experience with data platform technologies (e.g., Kafka/Event Hub, BigQuery, or equivalent cloud-native data services)
- Experience with analytics/BI enablement, such as data modeling for reporting or exposing data via APIs for dashboards
- Experience with machine learning/predictive analytics integration (e.g., predictive maintenance, fleet utilization forecasting) within a product architecture
- Background partnering with data science teams to productionize models within a microservices/event-driven architecture

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 child care 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.

For a detailed look at our benefits, click here: https://fordcareers.co/LL6

This position is a range of salary grade Leadership Level 6: $132,800 – $250,800

*Note: This is a hybrid role, you are expected to relocate if you are not within commutable distance, and responsible to be on site 4 days a week. Exceptional candidates will be considered as Remote.

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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