Top Engineering Manager Jobs in Hampton, VA

As an Engineering Manager at Maze, you will lead an infrastructure team, drive reliability and performance, mentor engineers, and ensure smooth cloud operations for AI workloads.

Lead and grow a team of engineers at Blend, driving development of AI-driven scalable solutions while ensuring technical alignment with business objectives.

Lead and mentor a remote team of SDETs, establish testing strategies, ensure quality standards, and collaborate with product management on project execution.

Lead a team to build payments and banking infrastructure, guiding technical direction, team growth, and delivering high-quality services. Manage performance and promote collaboration across teams for product success.

The Engineering Manager will lead teams, manage headcount, mentor leaders, and ensure effective development processes in a data platform environment.

Lead the Evaluation Services Engineering team, overseeing backend development and collaboration for B2B SaaS products while mentoring engineers.

The Engineering Manager will lead a team of engineers to build scalable data infrastructure, mentor staff, and oversee the availability of critical data services and systems.

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.

Manage a team of AI engineers in developing AI-powered features, collaborating with various stakeholders while also contributing hands-on to the codebase.

Lead software engineering projects, mentor teams, and deliver cloud-based solutions while staying updated on tech trends and collaborating with product managers.

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

As Engineering Manager, you will lead a team to build and scale the Lat 61 platform, ensuring high-quality and scalable engineering practices while collaborating cross-functionally.

The Associate Engineering Manager will lead a team in delivering IAM solutions, build relationships with team members, engage stakeholders, and improve engineering processes and practices.

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

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.

Lead and manage a team of engineers to develop AI-driven revenue cycle management solutions, collaborating across functions to ensure successful product delivery.

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 technical team in developing AI-based services, providing guidance and collaborating with other departments to ensure high-quality delivery.