Top Remote Engineering Manager Jobs in Greensboro, NC

As an Engineering Manager, you'll oversee two engineering teams, facilitate goal setting, career guidance, and ensure project execution while promoting team collaboration and conflict resolution.

Lead the Database Engineering team to ensure reliability and performance of database systems. Define the roadmap, mentor team members, and collaborate across various teams to enhance database standards and scalability.

Lead the engineering team for NGL, translating product goals into systems, managing performance, and driving innovation and growth.

As a Tech Lead, you will lead a team of engineers, manage technical architecture, mentor team members, and drive the development of user-facing features.

Lead the Ads Infrastructure team by coaching engineers, executing infrastructure roadmaps, and collaborating across teams to optimize and unify data systems at Reddit.

The Engineering Manager in the SRE team will oversee teams, manage projects, support engineer growth, and facilitate incident response and process improvements.

The Engineering Manager will oversee and support Site Reliability Engineering teams, manage projects, and enhance infrastructure services for Wikimedia.

The Engineering Manager will oversee globally distributed SRE teams, providing support, mentorship, and managing projects related to Wikimedia's infrastructure.

As Site Reliability Engineering Manager, you'll manage teams, mentor engineers, coordinate projects, and ensure system reliability in a 24/7 environment.

As an Engineering Manager in the SRE team, you'll manage global teams, mentor engineers, and oversee complex projects while ensuring system reliability.

Lead the design, development, and delivery of software products. Oversee the software development lifecycle and mentor a software engineering team. Collaborate with cross-functional teams to translate requirements into technical solutions.

Lead the Compute and Infrastructure teams within Upstart's Cloud Platform, defining strategies for cloud infrastructure while enhancing developer experience and cost efficiency.

Manage day-to-day engineering operations, lead agile processes, design and build services, coach teams, and align technology with business goals.

Responsible for managing engineering teams, overseeing project development, and ensuring technical excellence within a collaborative environment.

The Engineering Manager will lead a small team managing the development of compiler APIs for Solidity, focusing on technical guidance, project delivery, team growth, and cross-functional communication.

Lead a team of engineers to develop client applications, ensuring high-quality outcomes and mentoring team members in a scalable and secure environment.

Lead a team in developing Ceph-focused storage solutions, manage global engineers, foster quality and coaching culture, and facilitate technical delivery.

The Engineering Manager for IAM will lead a team developing secure identity and access management services using Go and Python, focusing on distributed systems.

Lead and manage a team of engineers focusing on optimizing Ubuntu for public cloud performance. Ensure quality delivery and foster growth among team members.

Lead and manage a team to produce ML-based features for creative tools, leverage machine learning systems, and foster team growth.

Lead and support the engineering team in designing, implementing, and maintaining backend services and infrastructure while also contributing to coding and technical decisions.

Manage a team of senior engineers, oversee software delivery quality, lead product development using advanced technology, and collaborate with stakeholders.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

As an Engineering Manager, you'll lead a small team, contribute hands-on, scale backend systems, and ensure sound technical decisions while mentoring engineers and enhancing team processes.

As Engineering Manager, lead the Data Science Team in delivering impactful solutions through data analysis and machine learning, fostering collaboration, and mentoring team members.