Top Entry Level Engineering Manager Jobs

Leads more than 10 engineers across Agent Tools, Agent Observability, and Runner Execution. Responsibilities include hiring, coaching, prioritization, technical design, AI tool standards, safe agent execution, sandboxing, observability, and cross-functional partnership across GitLab’s AI organization.

Lead the Web Infrastructure team responsible for Notion’s web client architecture, performance, reliability, and shared design systems. Build and manage engineering teams and managers, recruit and develop engineers, facilitate planning and prioritization, maintain high engineering quality, and drive consistent delivery. Partner across the organization to shape technical practices, hiring, onboarding, and management processes while balancing product, technology, and people priorities.

Lead a five-engineer Coordination Systems Storage team responsible for distributed configuration storage and distribution systems. Manage prioritization, delegation, ceremonies, incidents, root cause analysis, and operational excellence initiatives. Remain hands-on through feature development, remediation, investigations, performance optimization, and profiling. Collaborate with internal platform stakeholders while improving reliability through gamedays, operational reviews, validation, and proactive incident prevention.

Leads and manages a software engineering team focused on growth initiatives including member acquisition, retention, revenue generation, experimentation, referrals, and global expansion. Defines technical strategy and architecture, collaborates with product, design, finance, and marketing, and ensures strong development, testing, and deployment practices. Provides mentorship, performance feedback, and coaching while fostering innovation, psychological safety, teamwork, and continuous learning.

Leads and manages a software engineering team of up to 12 engineers developing core physiology services. Responsibilities include technical strategy, architecture, feature delivery, software development standards, testing, deployment, operational excellence, continuous improvement, mentorship, hiring, performance management, and cross-functional stakeholder alignment. The role requires strong backend production experience, familiarity with distributed systems and cloud infrastructure such as AWS, and a commitment to reliable, high-quality software in a collaborative startup environment.

Leads and grows a software engineering team building localization, translation, internationalization, RTL, and design-system platforms across mobile, web, and backend services. Owns roadmap execution, vendor and API integrations, developer tooling, reliability, monitoring, workflow improvements, and scalable language expansion. Partners with Product, Design, QA, Marketing, infrastructure teams, and external vendors while mentoring engineers and balancing feature delivery, infrastructure investment, and technical debt.

Lead engineering process transformation by establishing a modern SDLC, improving team self-organization, balancing technical debt with product delivery, coordinating distributed and external teams, and ensuring work follows clear specifications. Partner with product, executives, and the Lead Software Engineer to improve throughput, delivery consistency, and codebase stability. Use AI-enabled planning, reporting, and bottleneck identification while fostering a healthy, accountable engineering culture.

Leads software engineering teams developing secure, scalable Mastercard authentication platforms. Responsibilities include setting technical direction, guiding architecture and design decisions, managing 10–12 engineers, planning delivery, mentoring staff, recruiting, managing vendors, and partnering cross-functionally. The role drives secure coding, quality governance, observability, reliability, operational readiness, Agile delivery, performance optimization, and production troubleshooting while shaping technical strategy and product roadmaps.

Leads and develops a team of 7+ engineers while owning technical direction, roadmap, execution, architecture, design reviews, production incidents, scalability, reliability, and engineering quality. Partners with Product, Research, and other teams to align priorities and deliver complex technical projects. Requires strong people leadership, technical judgment, distributed systems experience, and cross-functional decision-making. Experience scaling teams and backgrounds in machine learning, AI infrastructure, or generative models are preferred.

Lead and mentor a software engineering team while overseeing software product delivery, project planning, hiring, and cross-functional collaboration. Drive cloud infrastructure best practices, infrastructure as code, automation, CI/CD, security compliance, and optimization of cloud performance, capacity, and costs. Align engineering objectives with business goals and foster innovation, continuous learning, and an inclusive, high-performing team culture.

Lead Affirm’s Resilience Engineering team, defining strategy and building platforms for safe production load testing and chaos engineering. Manage engineers, establish safeguards such as isolation, approval workflows, rollback, observability, and auditability, and partner across infrastructure, security, and product teams to improve reliability. Drive adoption of resilience practices, identify distributed-system weaknesses, and guide monitoring, alerting, and incident response for production experiments.

Lead and mentor software engineers building scalable e-commerce systems for international expansion. Oversee Ruby on Rails and Elixir systems, improve scalability, performance, security, and user experience, and collaborate with Product, ML, marketing, and internal systems teams. Drive internationalization capabilities, distributed cloud-native services, and technical excellence while helping engineers develop their skills.

Manage and grow a product engineering team at a remote cloud cost-management software company. Lead prioritization, delivery, quality standards, recruiting, and cross-functional collaboration with product, design, and leadership. Help engineers ship customer-focused features spanning spend management, interfaces, data pipelines, visualizations, and application performance. Coach engineers, remove blockers, promote ownership, and guide tradeoffs between velocity and quality.

Lead and grow a software engineering team responsible for Duolingo’s notifications product and infrastructure. Co-lead strategy with Product, drive projects from specification through experimentation and ongoing ownership, and ensure reliability, scalability, observability, and quality. Use analytics and A/B testing to improve product KPIs, establish engineering standards and OKRs, manage technical debt, remove execution roadblocks, and collaborate across product, design, research, data science, and engineering.

Lead a distributed engineering team building and scaling customer-facing products. Own delivery, architecture, reliability, technical quality, production outcomes, engineering standards, and team development. Collaborate across product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped solutions. Coach engineers, manage performance, improve processes and automation, resolve incidents, and build a high-performing culture focused on ownership, speed, and technical excellence.

Lead and develop a distributed software engineering team building scalable financial products. Own engineering delivery, architecture, system reliability, technical standards, production outcomes, and continuous improvement across frontend, backend, APIs, databases, infrastructure, and customer-facing systems. Coach engineers, manage performance, resolve incidents, make technical trade-offs, and collaborate with product, design, mobile, backend, and AI teams to deliver high-quality products quickly.

Lead and manage a frontend, backend, and full-stack engineering team building products for millions of users. Own technical architecture, engineering delivery, reliability, code quality, production operations, and continuous improvement. Partner with product, design, mobile, backend, and AI teams to deliver customer outcomes. Coach engineers, manage performance, establish engineering standards, resolve incidents, and build a high-performing engineering culture.

Lead and manage a global engineering team building scalable financial products. Own delivery, architecture, technical quality, reliability, production outcomes, and engineering processes across frontend, backend, and full-stack systems. Partner with product, design, mobile, backend, and AI teams, while coaching engineers, managing performance, resolving incidents, and building a high-performing engineering culture focused on customer and business outcomes.

Lead a distributed engineering team across frontend, backend, and full-stack development. Own delivery, architecture, system reliability, technical standards, production outcomes, and engineering processes. Coach and manage engineers, address performance gaps, make technical trade-offs, and connect engineering decisions to customer and business outcomes. The role requires staying technically involved through architecture reviews, code reviews, debugging, incident resolution, and scaling products used by millions of users.

Lead and develop a distributed engineering team responsible for frontend, backend, and full-stack products. Own technical architecture, engineering delivery, production reliability, system quality, and delivery speed. Partner with product, design, mobile, backend, and AI teams to turn ambiguous requirements into shipped outcomes. Coach engineers, manage performance, improve engineering processes and tooling, and resolve production issues while building a culture of technical excellence and ownership.

Lead a distributed engineering team across frontend, backend, and full-stack development. Own architecture, delivery, reliability, technical standards, production outcomes, and engineering processes for products serving millions of users. Partner with product, design, mobile, backend, and AI teams to turn ambiguous problems into shipped solutions. Coach engineers, manage performance, raise technical standards, and drive a culture of ownership, speed, and continuous improvement.

Lead a distributed engineering team building and scaling customer-facing products. Own technical architecture, delivery, reliability, engineering standards, production outcomes, and continuous improvement across frontend, backend, APIs, databases, infrastructure, and AI integrations. Coach engineers, manage performance, resolve incidents, make technical trade-offs, and connect engineering execution to customer and business outcomes in a fast-moving global environment.

Lead a distributed engineering team building and scaling customer-facing financial products. Own delivery, architecture, technical standards, reliability, production outcomes, and engineering processes across frontend, backend, APIs, databases, infrastructure, and integrations. Coach engineers, manage performance, resolve incidents, make technical trade-offs, and connect engineering execution to customer and business outcomes. The role requires hands-on technical leadership, strong ownership, product sense, and effective collaboration across product, design, mobile, backend, and AI teams.

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.

Lead and develop a 12-person multidisciplinary data organization spanning data engineering, analytics engineering, data science, machine learning engineering, and support. Set technical direction for the data platform, improve scalability and reliability, automate workflows, guide architecture, and integrate data and machine learning capabilities into products. Establish priorities, support go-to-market teams, manage performance and career development, hire effectively, and collaborate with Engineering, Product, and company leadership.