Top Engineering Manager Jobs in Raleigh, NC

Lead the Windows engineering team responsible for ProPresenter desktop software. Own hiring, coaching, performance management, team health, delivery, throughput, cross-functional execution, and continuous process improvement. Provide technical judgment on C#/.NET desktop development and native interop while partnering with product, design, QA, support, and other engineering teams. Promote high-quality, maintainable software, effective AI-assisted development, and outcomes that serve live production operators.

As an Engineering Manager, you'll lead the Reporting team, driving technical and product strategy, managing engineers, and collaborating across functions to enhance Vanta's reporting capabilities and product innovations.

Leads quality engineering teams while remaining hands-on with test automation, planning, execution, and strategy. Responsibilities include building and mentoring technical teams, developing automation frameworks and quality practices, coordinating with development and product teams, tracking testing metrics, mitigating risks, ensuring compliance, and driving continuous improvement across multiple software projects.

Leads an engineering team building and scaling customer-facing integrations for agentic AI products. Responsibilities include setting technical direction, balancing customer delivery with reusable tooling and platform investments, ensuring reliability and observability, improving developer experience, collaborating cross-functionally, recruiting, and coaching engineers. The role requires customer empathy, strong engineering leadership, technical problem-solving, and experience with production systems or integrations.

Lead and grow a backend engineering team building high-scale, low-latency consumer authorization platforms. Provide technical vision, partner with product, security, and data teams, balance short-term needs with long-term strategy, and hire, mentor, and retain diverse engineering talent.

Lead two teams (Consent Data & Privacy and User Data Management) as a manager-of-managers, owning execution and multi-year technical vision for user consent, data collection, storage, pipelines, access, retention, and compliance. Partner with Product, Data Engineering, and Legal to enforce consent and data governance at scale, adapt to evolving regulations, and drive architecture and platform solutions.

Lead two engineering groups building shared foundational services (identity, subscription). Drive technical strategy, architecture, observability, CI/CD, and DORA metrics. Manage people, hiring, cross-team collaboration, product partnerships, and mentor engineers while occasionally prototyping and contributing to code and technical planning.

Manage and develop an engineering team while owning delivery, hiring, performance, technical judgment, and escalation response. Stay hands-on with coding and architecture, use coding agents effectively, improve engineering processes, and help engineers build stronger skills in scoping, estimation, decision-making, and ownership. Balance roadmap priorities with customer commitments and turn recurring issues into lasting product improvements across HumanSignal’s AI data and annotation platforms.

Lead and grow a backend engineering team while staying hands-on: design and build Python/FastAPI services with Temporal and Postgres, own roadmap and delivery, set SLIs/SLOs, drive observability and reliability, run engineering rituals, hire and coach engineers, and improve quality with DevOps and AI tooling.

Leads a large engineering team responsible for scalable customer runtime infrastructure supporting Drupal, WordPress, and Next.js sites. Oversees technical strategy, architecture, project delivery, modernization, operational reliability, mentoring, performance management, and cross-functional collaboration. Guides cloud infrastructure transformation, reviews critical code, manages multiple priorities, and develops a high-performance engineering culture across global teams.

Leads secure, reliable IT infrastructure supporting distributed clinical research sites and remote employees. Manages enterprise networking, Azure and Microsoft 365 services, endpoint platforms, automation, AI-enabled operations, vendors, budgets, and technology projects. Oversees site deployments, security and compliance initiatives, service delivery, and operational improvements while recruiting, coaching, and developing technical teams.

Leads a remote-first team of SDETs responsible for quality strategy, test automation, CI stability, defect prevention, release readiness, and reliability across SaaS and customer-managed products. Establishes quality metrics, optimizes testing pipelines, performs failure and root-cause analysis, partners with product and engineering leaders, and mentors test engineers developing AI-enabled and agentic workflows. The role may include on-call or off-hours responsibilities.

Lead and grow engineering teams building AI-powered automation (especially LLM/Agentic AI) for compliance. Drive architecture, scalable multi-tenant systems, cloud-based engineering, cross-functional roadmaps, hiring, code quality, incident response, and delivery of high-impact AI/ML products.

Leads a software engineering team while remaining hands-on technically. Responsibilities include recruiting and developing engineers, guiding architecture and technical discussions, partnering with product and UX, building interfaces and backend systems, and improving application scalability, stability, security, and efficiency. The manager will influence technical strategy, evolve roadmaps, collaborate cross-functionally, and support cloud-based distributed systems.

Lead global test engineering to define and execute strategies for NPI and sustaining products. Manage a distributed team to deliver scalable ATE, fixtures, test automation, DFT, and data-driven test analytics, drive yield and cycle-time improvements, partner cross-functionally with product, quality, operations and suppliers, and manage CAPEX, suppliers, and continuous improvement initiatives.

Lead, mentor, and grow a software engineering team to deliver high-quality, scalable microservice-based solutions. Manage Agile processes, collaborate with Product, enforce engineering best practices, and drive continuous improvement in architecture, quality, and team performance. Participate in hiring, backlog planning, and drive measurable improvements in engineering execution.

Lead and grow a distributed software engineering team to design, ship, and support web-based features. Balance new feature delivery, technical debt, and system improvements; perform hands-on code review and triage; collaborate cross-functionally with product, design, and support; hire, coach, and mentor engineers; and establish processes for iterative, high-quality delivery that meet customer needs and SLAs.

The Engineering Manager will drive the growth of the engineering team, overseeing product development, architectural decisions, and integration of emerging technologies in web3.

Lead the Engineering team responsible for the API, focusing on platform strategy, team growth, and cross-functional collaboration to enhance product development and API performance.

Leads a diverse software engineering team developing complex system software and tools. Manages headcount, budgets, schedules, project delivery, vendor partnerships, risks, and process improvements. Collaborates with technical, program, executive, and AI teams to integrate AI innovations into products and processes. Oversees hiring, coaching, performance management, and career development while providing technical guidance and ensuring high-quality, on-time execution aligned with organizational roadmaps.

Lead and grow a multidisciplinary engineering team across full-stack, data engineering, and BI. Own people management, technical direction (C#/.NET, SQL, Vue 3, Power BI), data pipeline reliability, roadmap delivery, cross-functional collaboration, and engineering best practices to improve velocity, quality, and health outcomes.

Lead and grow a 16-person engineering organization across four AI-focused pods. Set technical direction, guide AI-native product and engineering development, manage cross-team dependencies, and oversee delivery, quality, reliability, security, and velocity. Partner with product, design, and leadership on scalable full-stack systems, mentor engineers and technical leads, and promote strong practices in architecture, testing, observability, incident response, and CI/CD within a HIPAA/SOC 2-aware environment.

Lead and grow a backend/platform engineering team building API-driven systems and core services. Own technical direction, architecture, reliability, and integration with product, data science, and infrastructure. Hire and mentor engineers, contribute to code and architecture, support incident response, and ensure scalable, secure, production-ready backend APIs and platform tooling.

Lead and grow remote engineering teams across Supabase, owning people management, hiring, roadmap and delivery, incident command, SLOs, and cross-team coordination while driving engineering quality and async communication.

Lead and run engineering delivery end-to-end: own planning cadences, track projects, surface risks, command incident responses and run blameless RCAs, own delivery metrics, coach and grow engineers, run hiring pipeline, and enable the founder by removing operational load.