Top Engineering Manager Jobs in Charlotte, NC

Leads Google Cloud AI and machine learning engineering teams and client workstreams. Oversees generative AI, LLM application, agent orchestration, retrieval-augmented generation, model evaluation, prompt engineering, guardrails, and LLMOps initiatives. Reviews architecture, code quality, testing, and solution delivery using Vertex AI, LangChain, LangGraph, Python, and LLM APIs. Coaches team members, improves reusable delivery assets, and manages client relationships, timelines, quality, and expectations.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Lead and manage end-to-end software engineering programs, coaching teams and coordinating cross-functional stakeholders. Oversee planning, budgeting, execution, and delivery of enterprise applications (including low-code platforms). Drive quality through ATDD, CI/CD, code review and architecture best practices (microservices/API management). Mentor staff, resolve technical and stakeholder conflicts, apply emerging AI technologies, and improve processes to meet engagement objectives and client expectations.

Lead cross-functional teams to design, build, and deliver scalable enterprise software and products. Own engagement relationships, product roadmaps, architecture (APIs, microservices), CI/CD and quality practices, project planning, and mentoring of junior staff to drive delivery and continuous improvement.

Leads the AI Engineering team across applied AI features and foundational ML infrastructure. Responsibilities include managing Senior and Staff engineers, hiring and coaching, deploying LLM-powered capabilities, building MLOps and AI observability platforms, balancing product delivery with platform investment, and ensuring privacy, compliance, evaluation rigor, and clinical safety in production systems.

Lead and mentor a software engineering squad while remaining hands-on with code reviews, design discussions, and occasional development. Own the software development lifecycle, drive sprint execution, remove blockers, ensure secure and high-quality delivery, and partner with product and engineering leadership. Support open-source contributors, communicate progress and risks, and guide engineers’ technical and professional growth.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.

Build and lead a globally distributed DevOps engineering team responsible for reliable platform capabilities and repository experiences. Hire, mentor, and develop engineers; guide architecture, security, performance, and maintainability; align delivery with product and design; improve agile workflows and execution; integrate AI-assisted tooling; and support operational health, reliability, and incident management.

Lead a globally distributed IT engineering team building enterprise integrations, workflow automation, orchestration, and AI-native workflows. Set technical direction, establish roadmaps, manage delivery metrics, and partner with business and service operations leaders to eliminate manual work. Guide engineers on architecture, CI/CD, testing, and development practices while evaluating emerging automation and AI tools. Build integrations across identity, ITSM, SaaS, and enterprise systems, and grow team capabilities across US and India time zones.

Leads a managed services engineering team responsible for AIX, Unix, and Linux service delivery. Oversees customer satisfaction, SLA performance, staffing, workload allocation, process improvement, operational procedures, budgets, vendor relationships, and technical service optimization. Manages customer reviews, support escalations, performance management, hiring, on-call schedules, and continuous service improvement while coordinating strategic and tactical technology plans across internal teams and partners.

Manage and develop software engineering teams, guide architecture and modernization initiatives, ensure security, stability, scalability, and quality, and remove technical impediments. Collaborate with product leaders, architects, scrum teams, and vendors to deliver banking technology capabilities. Lead code reviews, agile and DevOps practices, risk management, hiring, performance management, and engineer development. The role requires expertise in Java, .NET C#, RDBMS, web services, and Finastra Loan IQ.

Leads regional building engineering and maintenance operations across multiple facilities. Supervises engineering teams, oversees HVAC, electrical, plumbing, life-safety, security, critical environment, and vehicle systems, and manages preventive, predictive, and reactive maintenance. Coordinates contractors, work orders, safety programs, training, compliance documentation, capital planning, equipment troubleshooting, and inventory. The role is on-site, requires frequent physical activity and driving, and supports facilities operating in a nuclear activities environment.

Leads a cloud security posture management team responsible for securing AWS, Azure, and GCP environments. Oversees CSPM and CNAPP capabilities, security automation, governance controls, vulnerability remediation, risk assessment, and shift-left DevSecOps practices. Develops technical talent, establishes remediation SLAs and security guardrails, measures program effectiveness, and collaborates with engineering, architecture, security operations, and business stakeholders to reduce cloud risk and improve security outcomes.

Leads quality management and operational excellence across six global manufacturing sites. Responsibilities include governing the Quality Management System, coaching site quality professionals, driving Lean and Six Sigma improvements, leading cross-site problem solving, improving quality and operational performance, supporting audit readiness, managing corrective actions, and developing performance metrics. The role partners across Operations, Engineering, Supply Chain, and Quality to strengthen processes, customer satisfaction, and continuous improvement culture.

Lead quality management and operational excellence across six global manufacturing sites. Govern the Quality Management System, coach site quality teams, drive Lean and Six Sigma improvements, strengthen audit readiness, resolve systemic issues, improve customer satisfaction, and enhance quality, delivery, productivity, and cost performance through cross-functional collaboration.

Lead and develop an engineering squad building scalable partner-facing products and APIs. Shape multi-quarter strategy, coordinate across engineering and business teams, guide architecture and technical tradeoffs, improve reliability and delivery practices, and develop engineers and emerging leaders. Partner with Product, Design, and Business Development to translate customer and partner needs into durable platform capabilities while influencing broader engineering direction and culture.

Leads a 2–4 person engineering team while remaining hands-on in a TypeScript codebase. Owns delivery planning, performance management, career development, technical contributions, incident response, team health, quality, and compliance. Partners with Product, Design, and engineering teams to translate strategy into reliable software, manage risks and dependencies, remove blockers, and improve productivity through AI-enabled engineering practices.

Leads a cross-functional engineering team responsible for GameChanger’s basketball coverage products across iOS, Android, and backend platforms. Coaches and develops engineers, sets delivery and reliability standards, partners with Product and Design on priorities, hires talent, and contributes to engineering culture and organizational effectiveness. The role requires technical depth, architecture fluency, product judgment, and active development of AI fluency.

Lead the technical vision and execution for Toast IQ, an AI platform using LLMs and agentic workflows. Manage and mentor engineering teams, establish AI architecture and toolchain standards, maintain internal developer platforms, translate strategy into roadmaps, and deliver scalable backend, web, and mobile experiences. Partner with Product and Design to create customer-focused AI capabilities while balancing experimentation, quality, and platform stability.

Lead the IQ Platform engineering team and define the architecture and roadmap for Jasper’s AI context layer. Build scalable knowledge management systems, integrations, and RAG pipelines that improve agent intelligence and reliability. Serve as a player-coach by contributing code, mentoring engineers, partnering with Staff-level technical leaders, and driving major platform initiatives from strategy through delivery.

Lead a team of firmware and ML engineers developing, optimizing, and deploying computer vision and AI models on edge devices. Provide hands-on technical leadership for embedded systems, low-latency processing, and resource-constrained hardware. Partner with Product, Hardware, and Full-stack teams to deliver products from concept through mass production, shape technical roadmaps, and hire and develop engineering talent.

Leads Toast’s analytics engineering function, owning enterprise data architecture, modeling strategy, analytics-layer development, and AI-ready semantic-layer vision. Builds and manages a team of analytics engineers, establishes roadmaps, partners with data engineering and business leaders, and drives scalable, governed data solutions across domains. Requires expertise in data modeling, dbt, SQL, stakeholder alignment, and people leadership.

Manages the Marketplace Performance software engineering team, setting technical strategy and delivering business-critical backend and consumer marketplace systems. Partners with product, design, analytics, revenue, and merchant teams; oversees system reliability, monitoring, testing, on-call operations, and technical standards. Develops engineering talent, drives quality and ownership, and contributes to Affirm’s ads platform and marketplace monetization initiatives.

Lead infrastructure engineering teams and strategy for scalable, resilient, secure enterprise systems. Responsibilities include infrastructure design and maintenance, AWS and hybrid cloud adoption, automation, vendor and procurement management, budgeting, standards enforcement, cross-functional collaboration, cybersecurity, disaster recovery, and business continuity. The role provides technical leadership, mentorship, and oversight of infrastructure performance, reliability, and operational efficiency.