Top Senior Engineering Manager Jobs in Dallas, TX

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.

Lead and inspire a team of recruiters focused on technical hiring, own engineering recruiting strategy, and build effective processes to enhance candidate experience and drive efficiency.

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

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.

Lead the applications engineering team at Reach Security, overseeing product design, project execution, and team mentorship while contributing technically and strategically.

Lead a team to develop and scale AI-driven recommendation systems, ensuring high-quality solutions while managing engineering processes and team performance.

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

The Engineering Manager leads remote software teams, manages performance and career development, oversees development practices, and collaborates with product managers on features for Enterprise Intelligence dashboards.

The Engineering Manager will lead a diverse Data engineering team, manage performance, oversee API development, and ensure collaboration across teams.

Lead a team of engineers to develop AI-driven solutions for digital marketing, ensuring high quality and scalability, while mentoring team members.

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

The AI Outcome Manager will develop AI-driven solutions, prototype with customers, integrate data, lead demonstrations, and cultivate customer relationships for success in e-commerce.

Lead the protocol indexing team, managing engineers and creating reliable data pipelines for analytics in blockchain technology.

Lead and develop a hybrid offensive security engineering team, enhancing security posture through simulations and cross-functional collaboration while fostering an inclusive culture.

Lead and manage the Games SDK Product team to develop SDK libraries for mobile and cloud gaming, ensuring product alignment and cross-functional collaboration.

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

The Engineering Manager will lead the development of infrastructure products, inspire the team, create product strategies, and ensure operational efficiency while focusing on customer needs and market opportunities.

Manage IT projects in application development, ensuring quality standards, resource management, and stakeholder engagement while leading teams effectively.

Lead and manage a diverse team of infrastructure engineers, improving performance and processes of hosting infrastructure while facilitating team development and goal accountability.

Lead the SRE, DBRE, and Cloud Engineering teams to ensure system reliability and performance. Drive operational excellence, incident management, and cloud strategies for scalable infrastructure.

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

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

Lead and grow a team of full-stack engineers, manage projects, guide architectural decisions, and collaborate with product and design teams to deliver impactful features.