Senior Software Engineering Manager, Pro Intelligence
Listed on 2026-08-24
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Software Development
Software Project Mgr/ Lead, Software Engineer
Location: Northern
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, youcan build more than vehicles.
Come build what matters.
Ford Pro is a global business within Ford Motor Company focused on delivering productivity solutions to commercial customers. We offer a comprehensive suite of vehicles, charging infrastructure, software, and services tailored to fleet and business needs. Our Ford Pro Intelligence technology team, within the broader Vehicle Cloud and Mobile Division, powers the digital backbone of Ford Pro Telematics and Data Services.
Ford Pro Telematics gives you a near-real-time window into your fleet, providing the data and insights you need to help improve performance, reduce downtime and streamline operations.
In this role...As a Senior Software Engineering Manager within Ford Pro Intelligence, you will lead a team of talented software engineers in developing and scaling innovative solutions for our commercial customers. Ford Pro Intelligence is focused on creating a suite of connected services that optimize vehicle performance, manage charging infrastructure, and improve overall fleet operations. In this role, you will be responsible for guiding the technical direction of your team, ensuring high-quality software delivery, fostering a collaborative and innovative environment, and contributing to the overall success of Ford Pro's mission.
Whatyou'll do... Team Leadership & Management:
- Lead engineering managers who support software engineering teams that deliver end-to-end software products from conception to production for millions of drivers around the world.
- Manage and grow software engineering managers and their engineers by providing regular performance feedback, career coaching, and development opportunities.
- Oversee the planning, execution, and delivery of software projects, ensuring they are completed on time, within budget, and to the required quality standards.
- Lead with customer focus alongside partners in product, design, and engineering partners to define project requirements and priorities.
- Manage project risks, dependencies, proactively identify and resolve issues.
- Monitor project progress and provide regular updates to stakeholders.
- Actively participate in recruiting and hiring your teams
- Actively participate in reviewing, evaluating, and providing feedback on product designs and architectures with a software engineering focus.
- Actively seek to improve the engineering delivery pipeline, reducing cycle time and increasing quality and security posture.
- Apply advanced concepts, theories, and principles to create multi-disciplinary innovations and solutions for the most complex or risky business situations.
- Develop and socialize new engineering principles and practices to improve the organization.
- Provide thought leadership and perspective across multiple organizations to eliminate knowledge silos.
- Drive continuous improvement and build a learning organization.
- Evaluate and recommend new and emerging products and technologies.
- Act as a liaison between the team and other departments
- Act as a liaison between the team and other departments within Ford Pro.
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 12+ years of experience in software development with proficiency in one or more programming languages (e.g., Java, Python, C++, Go).
- 5+ years of experience in a senior leadership role managing people, leading teams, managing managers, and delivering software products to market
- 5+ years of experience with cloud-based technologies (e.g., AWS, Azure, GCP).
- Master's degree in Computer Science, Software Engineering, or a related field.
- Experience with developing and deploying software for connected vehicles or IoT devices.
- Experience with data analytics and machine learning.
- Experience with Dev Ops practices and tools.
- Familiarity with the automotive industry and commercial vehicle operations.
- Strong understanding of software development methodologies, such as Agile and Lean.
- Excellent…
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