Top Engineering Manager Jobs in Charlotte, NC

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

The Engineering Manager will lead software innovation, manage cross-functional teams, oversee project execution, and mentor junior talent to enhance software solutions and client relationships.

Lead engineering and program management efforts for software solutions, mentor teams, oversee project planning, and ensure client satisfaction.

The Engineering Manager will lead a team to develop innovative Coffee & Beverage products, ensuring KPI critical subsystem designs and smooth execution from concept to production while representing engineering in high-level discussions.

Hiring an Engineering Manager to lead high-performing teams, ensuring software delivery and operational excellence in mental healthcare. Requires strong technical skills and leadership experience.

As the Platform Engineering Manager, you will lead a team to build and maintain infrastructure services while ensuring security, reliability, and efficiency across software delivery in various environments.

Seeking an Engineering Manager to lead a team, ensuring technical excellence in consumer-facing applications while promoting a strong engineering culture. Requires extensive software engineering experience and people management skills.

The Engineering Manager leads a team in delivering reliable software solutions, blending technical contributions with team leadership, managing projects, and improving processes.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

Lead a full-stack engineering team for core Enterprise product development, balancing management with technical contributions in a remote-first setting.

The Engineering Manager will lead a team developing web applications and AI tools, optimizing product-led growth strategies and enhancing the developer experience.

Lead and grow a backend engineering team building communications infrastructure: document generation, PDF templating, and multi-channel notifications (email, SMS, mail). Own architecture, integrations with providers (SendGrid, Twilio, Lob), delivery reliability, observability, compliance/audit trails, and template onboarding. Act as player/coach contributing ~20% coding while driving roadmap, operations, and cross-functional collaboration.

Lead and grow a Data Foundations engineering team building high-throughput, reliable data platforms. Drive architecture and delivery for ingestion, buffering, enrichment, replication, storage, and query layers (ClickHouse, CDC, event streaming), ensure operability across SaaS/Dedicated/Self-Managed/Cells deployments, hire and coach engineers, and collaborate cross-functionally to deliver customer-facing reporting and search capabilities.

The Engineering Manager, Data Science will lead a team to drive machine learning initiatives in AdTech, focusing on optimization and modeling strategies to enhance client success and operational efficiency.

Lead the Growth pod owning UX and front-end product engineering as a player-coach. Contribute code initially, then manage sprint planning, delivery tracking, roadmap trade-offs, and architecture decisions. Ship full-stack features (TypeScript front- and back-end), raise engineering craft, grow team capacity through coaching and delegation, and proactively surface risks tied to business goals.

Lead a platform engineering team building integrations with insurers, EHRs, banks and the platform layer (CI/CD, cloud, observability, security). Combine management (planning, prioritization, hiring, risk management) with hands-on backend and infrastructure engineering, shipping code and setting technical direction across integrations and platform services.

Lead the strategy and execution of security engineering programs, manage a team of security professionals, and enhance Upstart's security posture by improving security controls and initiatives across the organization.

The Senior Security Engineering Manager leads security practices across application, infrastructure, and product security, setting strategic priorities and managing a team of engineers to enhance security posture and reduce risk.

Lead and grow a DevOps team responsible for CI/CD, deployment, observability, IaC, and runtime infrastructure. Drive platform reliability with SLOs, build self-service automation, evolve release engineering and supply-chain security, and partner with Security, Product, and application teams to deliver secure, scalable infrastructure.

Lead and develop engineering teams to design, implement, and scale CI/CD pipelines, cloud-native architectures, and secure, production-grade software. Influence cross-team technical strategy, remove delivery impediments, ensure compliance and risk mitigation, and leverage AI-assisted tools to accelerate development and testing.

Lead and grow a small Platform Testing team to define and execute a testing strategy that improves developer velocity and product reliability. Build cost-effective QA environments, implement service-to-service and configuration-driven testing, promote testing best practices, apply LLM-powered workflows, and partner with cross-functional stakeholders while managing hiring, coaching, and performance.

Lead and develop a team of Tier 2/3 network engineers to ensure reliable, high-performing enterprise network services. Oversee day-to-day operations and NOC functions, manage incident lifecycle and RCA, drive modernization through automation and monitoring, partner with cloud, security, and engineering teams, and manage vendor and stakeholder relationships to improve service outcomes.

Lead two mobile pods (Platform and Product) to define cross-platform strategy, improve CI/build systems and performance SLOs, deliver customer-facing features, manage and grow ~13-14 engineers, drive platform migrations, and maintain operational KPIs and engineering quality.

Lead and grow an engineering team to build scalable offer generation and personalization infrastructure. Define roadmap, collaborate with product and ML teams, use experimentation and data to optimize user engagement, and deliver production systems that increase customer lifetime value.