Top Engineering Manager Jobs in Detroit, MI

Leads TPA’s evaluation and scoring engineering team, managing software engineers and Data Scientists while remaining hands-on with production software, testing, debugging, architecture, and automation. Defines assessment requirements, coordinates cross-functional delivery, ensures results are traceable to evidence, manages capacity and support plans, and guides uncertain initiatives through supported releases. Requires engineering management experience, production software development, analytical-method implementation, and expertise in reliable APIs, data integrity, asynchronous execution, access control, and recovery.

Leads and builds a full-stack engineering team focused on backend-heavy AI Proving Grounds workflows. Responsibilities include hiring, coaching, architecture and code reviews, workflow definition, cross-team integration, automation, testing, observability, failure diagnosis, recovery, delivery planning, and operational handoff. The manager serves as a hands-on player-coach, implementing and debugging software while establishing reliable, repeatable user and attack emulation workflows.

Leads the Platform engineering team, owning people management, technical roadmap, platform product strategy, adoption, reliability, hiring, and cross-team alignment. Manages approximately five engineers initially, develops future leaders, sets engineering standards, oversees incident response and platform operations, and partners with product engineering teams as internal customers. The role also drives adoption of Elixir, TypeScript, AI-enabled workflows, scalable architecture, and shared engineering services.

Leads an engineering team responsible for technical quality, schedules, design releases, verification, and delivery across multiple engineering disciplines. Manages hiring, development, performance, and engagement while coordinating with operations, quality, supply chain, product management, and commercial teams. Supports new product introduction, engineered-to-order work, process improvement, design reviews, engineering change control, performance analysis, and adoption of CAD, simulation, automation, and PLM tools.

Leads an enterprise engineering team responsible for technology strategy, solution delivery, production support, reliability, security, and continuous improvement. Oversees staffing, vendors, projects, SDLC practices, incident management, KPIs, automation, and platform performance. Partners with business and IT stakeholders to translate needs into scalable solutions. Drives responsible AI adoption, AI-enabled capabilities, team AI training, and compliance with healthcare regulations and organizational standards.

Lead and mentor software engineering teams building scalable AI-enabled learning and skilling platforms. Own architecture, software delivery, quality, security, reliability, and operational excellence across the full lifecycle. Partner with product, operations, and engineering stakeholders to define roadmaps, manage dependencies, and deliver Azure-based solutions. Guide responsible AI adoption, CI/CD, automated testing, infrastructure as code, observability, and production support while remaining hands-on in technical design and code reviews.

Leads a 3–4 person Site Reliability Engineering team while remaining hands-on with coding, incident response, infrastructure automation, platform tooling, architecture, and modernization. Owns reliability metrics, technical debt, disaster recovery, observability, delivery outcomes, and technical direction. Manages hiring, performance, career development, and team health while improving Agile processes, platform adoption, developer self-service, and AI-assisted development practices.

Lead and scale the MSP/MSSP engineering team building multi-tenant SaaS platform capabilities, including account hierarchies, delegated administration, tenant isolation, partner administration, dashboards, licensing, and white-labeling. Hire, mentor, and retain engineers; establish architecture and engineering processes; oversee roadmap delivery and partner support; and collaborate with Product, Partnerships, Customer Success, Sales, Finance, and Engineering leadership.

Leads a senior-heavy software engineering team building a new consumer home-services product. Owns full-stack technical direction across mobile, backend, and frontend; architecture, roadmap, delivery, mentorship, hiring, and team growth. Partners with executives, product, design, recruiting, and B2B engineering teams while driving rapid experimentation, technical quality, and AI-enabled development practices.

Leads Kent’s Process Safety Engineering team, serving as a technical subject matter expert across onshore and offshore oil and gas projects. Responsibilities include managing engineers, overseeing quality and regulatory compliance, guiding risk assessments and consequence analyses, developing proposals and budgets, supporting business development, mentoring staff, recruiting, and coordinating multidisciplinary engineering work. The role requires client engagement, commercial awareness, professional engineering licensure, and expertise in process safety methodologies, industry standards, and specialized software.

Leads the Supabase Spark engineering team by developing people, managing hiring, owning roadmap delivery, coordinating cross-team requests, maintaining service objectives, and handling incidents. The role requires technical credibility in backend and database systems, experience managing remote engineering teams, strong performance management skills, and the ability to build high-trust, asynchronous, globally distributed teams.

Lead Headway’s Web Platform team of five frontend engineers. Own frontend strategy, design systems, web architecture, accessibility, performance, testing, and agentic UI workflows. Hire and develop engineers, manage performance, align with Design and product teams, define roadmaps and metrics, and advocate for frontend standards company-wide. Remain hands-on with code and AI tools while evolving shared frameworks, tooling, documentation, and automated quality checks.

Leads and grows engineering teams building scalable mobile, web, backend, data, and machine learning products. Owns execution, technical strategy, architecture, reliability, security, and operational excellence. Partners cross-functionally to deliver financial products, mentors engineering leaders, supports production systems, and scales teams and technology for rapid growth.

Leads a cloud engineering team responsible for internal developer platforms, cloud cost optimization, observability, security, AI infrastructure, incident management, Kubernetes networking, business continuity, disaster recovery, and CI/CD. The role owns platform architecture and roadmaps, drives cross-functional delivery, improves operational excellence, and develops scalable self-service tooling for engineering teams.

Lead and grow a cloud engineering team responsible for Mozilla’s internal developer platform. Drive cloud cost optimization, observability, security, AI infrastructure, incident management, Kubernetes networking, business continuity, disaster recovery, and CI/CD improvements. Own platform architecture and roadmaps, lead technical and organizational transformations, enable self-service tooling, and promote operational excellence, security, reliability, compliance, and scalable developer experiences.

Lead the 0-to-1 development and launch of Rippling Banking. Own the engineering roadmap, architecture, technical quality, scalability, and reliability while writing production code. Hire, mentor, and develop a high-performing team, collaborate with Product, Design, and Finance Engineering, and drive cross-team initiatives that improve engineering velocity and customer impact.

Lead and grow a full-stack engineering team building Mural’s AI-native Compose product. Own end-to-end delivery, architecture, code quality, reliability, experimentation, and roadmap execution in partnership with Product and Design. Hire, coach, and manage engineers while maintaining a hands-on technical role through code reviews and architecture decisions. Guide production LLM feature development, including evaluation, quality monitoring, and cost management, within a remote-first culture.

Leads complex capital projects and engineering initiatives for food manufacturing plants, warehouses, and R&D facilities. Responsibilities include equipment design, project planning, budgeting, vendor and contractor management, facility master planning, process improvement, plant layouts, safety and sanitary standards, regulatory compliance, and mentoring engineering and production staff. The role manages multiple large-scale projects from concept through startup while improving efficiency, capacity, quality, and return on investment.

Leads engineering teams and AI-enabled development practices to deliver web products for small businesses. Owns roadmap execution, technical quality, architecture, incident reviews, hiring, team development, and business outcomes. Partners with product, design, and marketing, remains hands-on with code and design reviews, and drives automation, agent adoption, experimentation, observability, and safe releases. The role also develops engineering leaders and establishes reusable AI engineering practices across the organization.

Leads the Body Main Systems team responsible for Body in White, frame, and closures development from concept through launch. Directs SET leaders and cross-functional partners across engineering, design, manufacturing, purchasing, finance, quality, and logistics. Owns technical integration, specifications, sourcing documentation, timing, issue resolution, cost, quality, weight, and milestone delivery. Requires strong automotive body engineering expertise, team leadership, and experience managing complex cross-functional programs.

Leads a full-stack engineering team responsible for scalable web applications and APIs. Provides technical and people leadership, owns solution architecture, establishes engineering standards, partners with product and business stakeholders, manages delivery timelines, and mentors engineers. The role also oversees cloud infrastructure, security, performance, technical roadmaps, stakeholder communication, staffing, costs, and team results.

Lead Docker’s Secrets engineering team, owning technical direction, platform delivery, security, operational excellence, incident response, and cross-team adoption. Build secure, scalable cloud services and shared platforms for credential management and sandboxed workloads. Partner with product and security teams on architecture, threat modeling, and enterprise requirements. Hire, develop, and retain engineers while driving roadmap execution, reliability, and adoption across Docker products in a remote-first environment.

Lead and develop the SRE team responsible for reliable, secure deployments across on-premises DoD and AWS environments. Own capacity planning, prioritization, reliability roadmaps, operational readiness, incident response, observability, and toil reduction. Coordinate delivery across engineering, security, and customer success teams while guiding infrastructure, automation, Kubernetes, CI/CD, networking, and application reliability decisions. Manage team performance, hiring, career development, on-call practices, postmortems, and stakeholder communication.

Leads multiple software engineering teams building enterprise platforms, integrations, APIs, and modernization programs. Sets technical direction, owns delivery and production health, drives architecture and legacy-system modernization, and embeds AI coding agents across the software development lifecycle. The role remains hands-on through coding, reviews, debugging, and prototyping while coaching leaders, hiring engineers, improving engineering practices, measuring delivery performance, and aligning technical outcomes with business strategy.

Lead a senior engineering team building Fingerprint’s Automation Intelligence product from beta through commercial launch. Own product readiness, service reliability, detection accuracy, testing, rollout quality, API contracts, observability, team growth, and AI-native engineering practices. Partner with product, research, and customer-facing teams while establishing autonomous ownership, quality metrics, and contract-first APIs for detecting and classifying bots, AI agents, and other automation.