Top Remote Engineering Manager Jobs in Tulsa, OK

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.

Lead a team of engineers to develop Hudl's core products for the Competitive market. Drive technical strategy and mentor team members.

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.

Lead and mentor the core development team, drive technical strategy, manage performance, and ensure technical solutions align with business goals.

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

Lead and manage the Data/AI team, guiding architecture and product development while fostering a high-performance work culture.

Lead the Core Data team at AuditBoard, driving technical direction, mentoring engineers, and collaborating with cross-functional teams to deliver high-quality data solutions.

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, coach, and develop a team of engineers, ensuring high-quality software delivery through AI-enabled workflows and agile practices.

The Engineering Manager will lead the Toast Now team, driving product delivery, mentoring team members, ensuring software quality, and collaborating across teams.

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.

As the founding ML Engineering Manager, you'll develop and execute ML strategies, lead engineers, prototype LLM-powered features, and enhance engineering practices within a diverse team.

Lead a remote engineering team to develop Python and Golang micro-services for a global software distribution system, mentoring team members and collaborating with other engineering leaders to execute strategy and improve engineering practices.

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.

Lead and mentor the team focused on data systems and infrastructure. Oversee Dgraph modifications, Kubernetes platform improvements, and secure deployments while collaborating with product and security teams.