Top Engineering Manager Jobs

Lead Data Center Engineering to design, maintain, and scale critical infrastructure (compute, network, power, cooling, cabling). Drive operational excellence, capacity planning, monitoring, incident response, lifecycle management, cross-functional programs, and team development while ensuring uptime, reliability, compliance, and alignment with business objectives.

Manage and mentor a backend engineering team, oversee design and delivery of software and web applications, set project requirements and timelines, enforce development best practices and KPIs, manage releases, budgets, and capital projects, and drive continuous technical improvement and cross-functional collaboration.

As an Engineering Manager, you will lead software projects, develop team members, ensure technical excellence, and collaborate across the company.

The Senior Software Engineering Manager leads security engineering teams at WHOOP, ensuring product security and compliance with HIPAA standards, while fostering innovation and a positive team culture.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

Lead diverse technology projects and high-performing software engineering teams to deliver innovative solutions while mentoring engineers and improving efficiency.

Lead a full‑stack engineering team building distributed microservices and AI/GenAI‑enabled sales enablement solutions. Drive adoption of cloud (AWS/Azure/GCP), containerization (Docker/Kubernetes), experimentation with AI agents and intelligent search, and deliver scalable systems to improve sales productivity, compliance, and operational efficiency.

Manage a platform engineering team focused on digital integration: oversee project delivery, CI/CD and deployment automation, enforce quality standards, drive process improvements, collaborate with cross-functional stakeholders, and develop team capability and platform strategy.

Lead a small engineering team to build and manage the Core Analytics Data Access Platform, ensuring data security, scalability, and collaboration with AI and analytics teams.

The AMOC Engineering & Integration Manager will oversee C4I system enhancements and manage a team to support the DHS mission, applying advanced engineering methods and technologies.

Lead design and delivery of electrical ground support equipment, overseeing standardization, power architecture decisions, and mentoring engineers.

Lead and manage a cross-functional team of engineers for ground software development, driving technical roadmap, code quality, and team growth while coordinating with other teams and stakeholders.

The Lead Architect will develop backend services, oversee integration with imaging facilities, set coding standards, mentor engineers, and ensure fault-tolerant systems while adhering to healthcare data standards.

The Mobile Engineering Manager will lead iOS and Android teams, oversee performance, contribute code, and develop Trust & Safety roadmaps.

The Program Engineering Manager II leads engineering projects, manages cross-functional teams, ensures technical performance, and acts as a technical steward and customer liaison throughout the project lifecycle.

The Engineering Manager will oversee the Backend Platforms team, managing engineering talent, shaping strategies, ensuring platform reliability and performance, and guiding architectural decisions across multiple workstreams.

As an Engineering Manager, you'll lead a full-stack team focused on enhancing buyer experiences, managing post-purchase issues, and improving seller support systems. You will drive technical strategy and outcomes across the buyer experience, collaborating closely with Product and Design teams.

Lead a cross-functional engineering team to design, build, and operate scalable, secure, high-volume payment systems. Own architecture, code quality, testing, performance, observability, incident response, and delivery while recruiting and developing engineering talent.

Lead and grow an AI engineering team to design, build, deploy, and support production-scale generative AI systems. Oversee foundation model training, LLM inference, vector search, guardrails, evaluation, governance, and observability. Make build-vs-buy decisions across open source and SaaS, optimize LLM performance for cost/latency/throughput, set technical vision and roadmap, and attract/mentor top AI engineering talent.

Lead and manage a software engineering team to modernize a legacy pharmacy application by migrating to Go, SQL Server, and Azure. Drive hands-on development, design and deploy AI-powered solutions, apply AI-assisted tooling and automation, evaluate emerging technologies, resolve cross-team technical issues, and make broad product and process decisions.

Lead a team of engineers hands-on: design and implement full‑stack features, drive architecture and technical decisions, ensure code quality/security/performance, mentor engineers, collaborate with Product and Design, and champion DevOps and continuous improvement using Node.js, React, cloud platforms, and Kubernetes.

Lead cross-functional engineering teams to deliver audio technologies and products via internal development and external partnerships. Manage project schedules, budgets, risks, and software-hardware integration across the product lifecycle. Define operating practices for the new Audio Technology business unit and coordinate with research, sales, legal, and supply chain stakeholders.

Lead and grow an engineering team building Zo, Zocdoc's LLM-based voice phone assistant. Drive technical strategy, mentor engineers, ship consumer-facing AI features, integrate with EHR systems, ensure security, scalability, and high uptime, and collaborate with product, design, data, and commercial teams.

Lead a polyglot team to define and deliver end-to-end serverless APM across AWS, Azure, and GCP. Drive auto-instrumentation, OpenTelemetry and Datadog-native tracing, expand managed-service coverage, collaborate with Product and cross-functional teams, and prioritize developer experience, API design, and reliable distributed tracing systems.