Top Engineering Manager Jobs in Detroit, MI

Leads a quality engineering team while remaining hands-on with AI-powered test automation across API, UI, integration, and end-to-end workflows. Evaluates AI tools, improves test frameworks and regression efficiency, supports release readiness, analyzes defects, tracks quality metrics, and partners with Engineering, Product, DevOps, and Release teams. Coaches employees on AI-native quality practices, prompt engineering, responsible AI use, and evaluating AI-generated tests.

Lead and grow a high-performing engineering team, partner with stakeholders to ensure the right problems are solved, guide technical decisions and architecture, improve processes and remove bottlenecks, balance long-term investments with near-term delivery, and foster ownership and continuous improvement in a remote, distributed environment.

Leads large-scale cluster deployment from rack delivery through production acceptance, including network bring-up, cabling verification, GPU-fabric integration, validation, burn-in, and RCCL performance testing. Manages deployment engineers across concurrent builds, improves deployment velocity, establishes operational playbooks and acceptance gates, coordinates with data center teams and vendors, and drives defect resolution across network, cabling, and hardware partners.

Lead and scale the engineering team, hire engineers, set technical direction, ensure engineering excellence, and foster a high-performance culture.

Lead a multi-team engineering organization responsible for delivery, technical quality, production reliability, security, privacy, and AI-native development practices. Build scalable teams and managers, establish cross-team delivery systems, partner with Product and Design, oversee observability and incident response, use engineering metrics to guide improvements, and shape hiring, leveling, and talent development.

Lead architecture and delivery of real-time stream-processing pipelines using Apache Flink and Java. Design scalable, event-driven, low-latency systems; optimize performance and reliability; deploy and manage cloud/containerized services; enforce CI/CD, testing, and observability; troubleshoot production issues; collaborate with cross-functional teams; and mentor engineering teams.

As an Engineering Manager, lead a team of engineers, coaching their development while ensuring quality results and implementing engineering processes.

Lead a distributed team of engineers overseeing Linux kernel delivery for Ubuntu, ensuring quality, security, and effective collaborative practices.

As an Engineering Manager, you will lead a team to optimize engineering and operations processes, ensuring quality managed services while collaborating with customers and stakeholders.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

Manage engineering teams and operations for the BootStack service, ensuring quality and timely delivery of managed services while collaborating with stakeholders and optimizing team performance.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Lead and mentor a team of engineers to enhance AppArmor security features, ensuring high quality results and collaboration with stakeholders.

The Engineering Manager leads the Ubuntu Desktop Apps team, overseeing application design, development, and system integration while mentoring engineers and promoting continuous improvement in software quality.

Lead architecture and scalability of cloud-native applications, manage a team of engineers, improve performance, and ensure code quality.

The Engineering Manager will lead teams building a scalable device passport platform, mentor engineers, manage backlog, and contribute coding while ensuring quality and documentation standards.

Leads an autonomous team of 8–10 engineers developing payment acceptance and value-added services such as network tokens, account updater, 3DS, and account validation. Oversees AI-augmented software delivery, architecture, hiring, coaching, roadmap collaboration, reliability, security, incident response, testing, observability, and compliance. Partners cross-functionally to deliver scalable, secure, enterprise-grade financial products and participates in on-call rotations.

Lead a distributed engineering team building and scaling customer-facing products. Own delivery, architecture, reliability, technical quality, production outcomes, engineering standards, and team development. Collaborate across product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped solutions. Coach engineers, manage performance, improve processes and automation, resolve incidents, and build a high-performing culture focused on ownership, speed, and technical excellence.

Lead and develop a distributed software engineering team building scalable financial products. Own engineering delivery, architecture, system reliability, technical standards, production outcomes, and continuous improvement across frontend, backend, APIs, databases, infrastructure, and customer-facing systems. Coach engineers, manage performance, resolve incidents, make technical trade-offs, and collaborate with product, design, mobile, backend, and AI teams to deliver high-quality products quickly.

Lead and manage a distributed engineering team building scalable financial products. Own technical architecture, delivery, reliability, production outcomes, engineering standards, and cross-functional execution. Coach engineers, manage performance, improve processes and automation, resolve incidents, and maintain a high bar for technical quality and customer impact. The role requires hands-on technical leadership across frontend, backend, APIs, databases, distributed systems, cloud infrastructure, and AI collaboration.

Lead a distributed engineering team across frontend, backend, and full-stack development. Own architecture, delivery, reliability, production outcomes, engineering standards, and technical quality for major product areas. Partner with product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped products. Coach engineers, manage performance, improve processes and automation, resolve incidents, and build a high-performing engineering culture focused on ownership and measurable customer outcomes.

Lead and manage a global engineering team building scalable financial products. Own delivery, architecture, technical quality, reliability, production outcomes, and engineering processes across frontend, backend, and full-stack systems. Partner with product, design, mobile, backend, and AI teams, while coaching engineers, managing performance, resolving incidents, and building a high-performing engineering culture focused on customer and business outcomes.

Lead and manage a frontend, backend, and full-stack engineering team building products for millions of users. Own technical architecture, engineering delivery, reliability, code quality, production operations, and continuous improvement. Partner with product, design, mobile, backend, and AI teams to deliver customer outcomes. Coach engineers, manage performance, establish engineering standards, resolve incidents, and build a high-performing engineering culture.

Lead a distributed engineering team across frontend, backend, and full-stack development. Own delivery, architecture, system reliability, technical standards, production outcomes, and engineering processes. Coach and manage engineers, address performance gaps, make technical trade-offs, and connect engineering decisions to customer and business outcomes. The role requires staying technically involved through architecture reviews, code reviews, debugging, incident resolution, and scaling products used by millions of users.

Lead and develop a distributed engineering team responsible for frontend, backend, and full-stack products. Own technical architecture, engineering delivery, production reliability, system quality, and delivery speed. Partner with product, design, mobile, backend, and AI teams to turn ambiguous requirements into shipped outcomes. Coach engineers, manage performance, improve engineering processes and tooling, and resolve production issues while building a culture of technical excellence and ownership.