Top Remote Engineering Manager Jobs in Raleigh, NC

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.

Looking for a Principal Functional Back End Engineer with expertise in Haskell and Nix to lead product development and provide strategic consulting.

Lead a product-focused engineering team to develop observability solutions on Grafana Cloud. Manage execution, foster team culture, and support engineer growth.

The Engineering Manager will lead software engineering teams, ensuring high-quality delivery, driving agile processes, mentoring engineers, and collaborating with cross-functional teams on SaaS platform improvements.

Lead the Experience Design Prototyping team, combining design and technology to create prototypes that enhance user experience and influence product strategy through collaboration and mentorship.

The Engineering Manager will lead and mentor a team of engineers, own technical roadmaps, and collaborate with stakeholders to ensure quality digital healthcare solutions.

Lead the backend engineering efforts at SmarterDx by designing, building, and launching clinical AI features while ensuring data security and collaborating across teams.

The Engineering Manager will guide development teams, oversee software projects, improve processes, and ensure quality deliveries while mentoring team members.

The Engineering Manager - Data & ML will redesign and scale Underdog's data and ML platform, establishing best practices, leading a team, and collaborating with cross-functional teams to optimize data systems.

Lead and manage a distributed team of engineers developing Ubuntu Core, focusing on embedded Linux for IoT and other fields, ensuring timely delivery of software solutions and fostering a collaborative culture.

The Engineering Manager will lead a team of full-stack developers, manage projects, mentor team members, and ensure technical alignment with product goals.

Lead a team of Data and ML engineers, develop ML systems, collaborate on AI solutions, mentor staff, and operationalize ML processes.