Top Engineering Manager Jobs in St. Louis, MO

The Senior Engineering Manager will lead a team in architecting and maintaining Wikimedia's data feeds, focusing on collaboration, technical strategy, team development, and budget management.

The role involves leading engineering teams for HHAeXchange's platform, ensuring software delivery, quality, and operational excellence while managing staff and collaborating across departments.

Lead the FinOps engineering team, manage cloud cost visibility platforms, implement AI-driven efficiencies, and collaborate with Finance for cloud financial strategy.

As an Engineering Manager, you'll lead and develop an engineering team, ensuring technical quality, fostering growth, and guiding product initiatives, while utilizing AI effectively.

Manage a team of engineers to develop and unify content platforms, drive product decisions, and optimize processes for improved user experience in media applications.

As an Engineering Manager, you will lead a team to enhance hospital operations through AI software, focusing on user-facing features and technical management.

Lead and scale the engineering team, hire engineers, set technical direction, ensure engineering excellence, and foster a high-performance culture.

The Engineering Manager will lead teams in developing and executing complex, scalable products while mentoring engineers and managing cross-functional collaboration.

Lead and mentor a global GTM Systems Engineering team that designs, builds, and runs the Salesforce platform and integrations. Own engineering best practices, architecture reviews, CI/CD, automated testing, AI-assisted development adoption, sprint planning, incident management, stakeholder translation of requirements, integration patterns, system health metrics, and data security/compliance.

Lead and grow a platform and infrastructure engineering team (Infrastructure/SQL reliability, Developer Experience, or Tooling). Hire, mentor, and manage delivery of quarterly roadmaps; remain technically engaged in design and code reviews; partner with product, SRE, and security to drive reliability, observability, CI/CD, and platform strategy. Own toolchain, reliability goals, and foster a culture of ownership and continuous improvement.

Lead and grow US-based software engineering teams to modernize legacy systems into scalable cloud and microservices architectures. Own technical roadmaps, execution across the SDLC, CI/CD and IaC adoption, incident response and disaster recovery, stakeholder collaboration, hiring and coaching, and use of AI-assisted tools to improve delivery, quality, and reliability.

Lead and grow a full‑stack team building the Console, Tiger CLI, and MCP integrations. Own customer-facing domains (UI, billing, observability), set technical direction for a JavaScript/Go stack, hire and mentor engineers, establish engineering practices, and partner with Product and Design to deliver polished features. Be hands-on and drive organizational change during growth.

Lead multiple teams in building production quality AI systems, ensuring reliable delivery and effective people management while establishing standards and practices.

Lead and grow distributed database-internals engineering teams owning TimescaleDB. Set technical roadmaps, prioritize work with Product, collaborate with Platform, handle customer escalations, mentor engineers, and drive delivery of reliable, high-performance database systems.

Lead a 4–7 engineer team owning delivery of consumer and enterprise restaurant applications. Manage capacity, hiring, budgets, launch execution, long-term architecture, AI tooling guidance, cross-functional collaboration, and stakeholder communication to ensure scalable, reliable product rollouts.

Lead design, build, and operate an end-to-end Identity Platform for KYC/KYB, overseeing CIP, CDD, sanctions screening, and continuous risk monitoring. Drive AI-first automation to reduce manual reviews, mentor engineers, manage reliability and incidents, and represent technical solutions to customers and regulators. Partner cross-functionally to shape roadmap and ensure regulatory compliance and extensibility across jurisdictions.

The Senior Engineering Manager will lead multiple engineering teams, driving technical strategy and software development in a healthcare setting, ensuring compliance and operational excellence.

The Senior Manager, Software Engineering is responsible for strategic execution, technical leadership, product advocacy, team scaling, and operational excellence, requiring advanced management and strong technical skills in C# and microservices.

Lead engineering team for solar and storage projects, oversee design execution, manage technical evaluations, and provide construction support.

As a Senior Software Engineer, you'll design and develop scalable features for K-12 software applications, focusing on technical leadership and mentoring within a cross-functional team.

The Data Engineering Lead oversees data engineering operations, manages teams, ensures data integrity, and drives innovation in data management and governance.

The Software Engineering Manager will lead a team in creating tools for Cengage Learning Platforms, focusing on AI innovation, team growth, agile delivery, and collaboration.

Lead and scale a remote revenue cycle solution engineering team to deliver secure, scalable integrations (HL7, FHIR, APIs, DB extracts) with large health systems (Epic, Cerner). Partner with Product, Engineering, Implementation, and Customer Success, manage complex deployments, drive architecture and tooling improvements, and provide hands-on escalation support and metrics for integration performance.

Lead a platform engineering team to deliver reliable, maintainable backend and platform capabilities. Manage hiring, coaching, delivery, technical guidance, cross-functional alignment, execution discipline, incident follow-up, and engineering practices to meet product and operational goals.

Lead and mentor 1-2 software engineering teams; translate stakeholder goals into scalable technical solutions; drive the technical roadmap, organizational initiatives, and engineer development; balance rapid prototyping with robust systems; apply AI and cloud expertise to improve engineering outcomes.