Top Senior Engineering Manager Jobs in Dallas, TX

The Software Engineering Manager leads a team of engineers, overseeing software development, fostering growth, and ensuring quality deliverables while promoting innovation and collaboration.

Lead platform development, maintenance, and support across enterprise systems. Manage technical teams, resolve complex platform issues, implement infrastructure projects, develop technical standards, and collaborate with stakeholders to deploy new technologies while driving continuous improvement and vendor performance.

Lead the engineering team at ServiceTitan, owning technical vision, improving systems, mentoring engineers, and collaborating with cross-functional teams to enhance product performance and reliability.

Manage and support WAN, multi-cloud networks, lead network engineering team, implement AI for proactive monitoring, and ensure network uptime.

Lead and grow a full stack engineering team, contribute to architecture and code, manage product delivery, and enforce best practices while partnering with Product Management.

Lead and hands-on manage the Catalog engineering team, own sprint delivery and architecture, write and ship full‑stack production code using AI-assisted tooling, hire and grow engineers, and drive collaboration with product and design while shaping an AI-driven SDLC.

Lead Data Acquisition Team, drive AI-augmented development, establish specification-driven methodology, oversee data pipeline architecture and ensure operational excellence.

Lead teams building and operating the core data platform, ingestion pipelines, datalake adoption, Data APIs, permissions, and customer-facing data access to enable reliable, scalable client data delivery and AI-enabled workflows; partner cross-functionally and develop engineering talent while reducing operational burden through automation.

Lead and manage the Web Applications engineering team for hosted subscription products. Drive day-to-day execution, people management, budgeting, delivery planning, and engineering practices (CI/CD, testing, observability, release readiness, reliability, security/privacy). Coordinate launches, cross-functional readiness, and improve team processes while staying hands-on with technical tradeoffs and architecture.

Lead and manage the Web Applications engineering team for hosted subscription products. Drive day-to-day execution, people management, budgeting, delivery practices, release and operational readiness, reliability, privacy/security, and cross-functional coordination while remaining hands-on with technical tradeoffs and engineering processes.

Lead and grow a compute engineering team building large-scale, multi-tenant compute platforms for AI workloads. Drive strategy, roadmap, architecture, operations, capacity planning, and reliability. Own on-call, incident response, and cost/utilization tradeoffs while partnering across product, security, and customers to deliver a predictable, efficient, and secure compute substrate.

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

As a Senior Engineering Manager, you will lead product engineers in enhancing AI-driven SMS marketing solutions for ecommerce brands, focusing on team management, technical mentorship, and operational efficiency.

Lead the Tools & Frameworks engineering team to build shared backend libraries, internal tooling, scalable APIs, and schemas. Define roadmap, balance technical and business priorities, drive architectural excellence (including FHIR translation, monorepo decomposition, data federation, event-streaming), mentor engineers, and collaborate cross-functionally to improve developer productivity and platform reliability.

Lead multiple engineering teams to deliver secure, scalable, cloud-native data systems for CMS. Own people management, technical delivery, CI/CD/DevSecOps adoption, compliance with federal security standards, incident response, and stakeholder communication. Drive engineering strategy, predictability, and continuous improvement across Agile/SAFe teams while supporting business development and program priorities.

The Manager of Data Engineering leads a team to implement data architecture, manages project execution, and ensures pipeline quality. Responsibilities include team management, setting standards, developing engineering culture, and collaborating with stakeholders.

The Engineering Manager will lead a cross-functional team, focusing on delivering platform initiatives, improving developer experience, and enhancing engineering standards.

Lead and manage the development of the Landscape systems management solution for Ubuntu, guiding a team of engineers and setting strategic goals.

Lead the Payments Acceptance team as a Senior Engineering Manager at VGS, overseeing AI-native delivery of value-added services, managing a team, and ensuring operational excellence.

The Senior Engineering Manager at Planet leads the engineering team, focusing on delivering products for Defense Intelligence. Responsibilities include mentoring engineers, refining processes, and collaborating across teams for effective deployment of technology.

Responsible for leading a team of engineers to develop distributed certificate workflow systems, ensuring system design excellence, and mentoring talent. Collaborate with cross-functional teams on project roadmaps and drive AI automation solutions.

Manage Quality Engineering for finance systems, establishing automation and testing standards, mentoring engineers, and leading AI-powered initiatives while ensuring data quality and enhancing testing processes.

The Manager of Substation Engineering leads the design and execution of utility projects, manages a technical team, and collaborates with various stakeholders to ensure effective project delivery and compliance with regulations.

Lead the engineering team for Rescale's core cloud computing orchestration engine, focusing on AI-assisted development, operational excellence, and scalable distributed systems.

Lead and grow a data engineering team to ingest and operationalize healthcare data, ensuring quality, governance, and timely client integrations.