Top Remote Engineering Manager Jobs in Ann Arbor, MI

Lead the Infrastructure and Platform teams at CoinTracker to implement scalable infrastructure, enhance developer productivity, and ensure reliable product delivery.

Lead a software engineering team to design and develop a cyber range platform while ensuring high-quality software delivery and team collaboration.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

Lead a team to transform Metronome's platform, driving technical direction, team growth, and scaling through complex initiatives and cross-team execution.

Lead a full stack engineering team to build a platform for partner integrations, focusing on scalability and resilience. Collaborate with cross-functional teams, set objectives, and manage engineering talent.

As an Engineering Manager, you'll hire and mentor engineers, shape team practices, and collaborate on the engineering roadmap while fostering a collaborative team culture.

The Software Engineering Manager will lead a team of CAD developers, fostering their growth, overseeing product delivery, ensuring technical excellence, and driving innovation.

The Director of Software Engineering leads and mentors an Agile engineering team, overseeing architecture, driving modernization efforts, and ensuring delivery of scalable SaaS solutions.

As a Software Engineering Manager, you will lead the Ads Reporting team to innovate and improve data insights for advertisers while ensuring technical scalability and reliability of the reporting platform.

Lead and scale Ditto's Site Reliability Engineering team, focusing on reliability practices, incident management, and building a high-performance culture.

The Engineering Manager will lead the Cloud Platform & Tools - Network team, overseeing core networking infrastructure, mentoring engineers, and driving project delivery.

Lead the design and operation of scalable data systems, guide architectural decisions, manage senior contributors, and foster a collaborative culture.

Lead the seller engineering team, managing Ruby on Rails and Elixir development, mentoring engineers, and enhancing system scalability in collaboration with cross-functional teams.

Lead a team of software engineers to automate content ingestion, manage partnerships, deliver reliable products, and build an inclusive team culture.

As the Engineering Manager, you will lead a product engineering team, influencing technical design, product delivery, and team growth while collaborating across functions and focusing on operational quality in payment solutions.

Lead and mentor Salesforce and Automation Engineering teams to enhance systems for internal operations and customer experience, ensuring scalability and efficiency through technology and AI solutions.

Lead and mentor the Platform Engineering team, managing cloud infrastructure and ML platform functions to enhance developer productivity and system reliability.

Lead a team of full-stack engineers, driving product excellence and mentoring through technical challenges, architecture reviews, and team management.

Lead and mentor a team of engineers, ensuring quality software delivery and hands-on development in a dynamic SaaS environment.

Lead a team of software developers, oversee system maintenance, ensure code quality, and collaborate with peers while achieving performance measures.

Lead a team of engineers to design, develop, and enhance the data ingestion platform, focusing on real-time data processing and system reliability.

Lead a backend engineering team to build and scale high throughput distributed systems, manage deliverables, and improve operational processes at Shippo.

Lead the TV innovation team at Netflix, delivering tailored entertainment experiences through backend systems, A/B testing, and team mentorship.

The Engineering Manager will lead a team in building campaign management systems, facilitating collaboration and execution excellence in ad technology projects.

Lead the AI Agents team to develop multimodal AI systems, ensuring ethical integration and delivering innovative customer experience solutions using machine learning.