Top Engineering Manager Jobs in Boston, MA

Leads a team of 5–10 engineers building real-time market data and analytics infrastructure for trading systems. Owns technical strategy and roadmap, drives delivery, ensures data accuracy, reliability, low latency, and scalability, and partners with Product and engineering teams. Responsibilities include hiring, coaching, developing senior engineers, maintaining engineering standards, and delivering index pricing, market data ingestion and distribution, and funding rate computation systems.

Lead and mentor the software engineering team responsible for PSA Set Registry, a large-scale consumer web and mobile product. Drive architecture, development, delivery, code quality, release management, production troubleshooting, and technical strategy. Partner with product, design, and business teams to translate requirements into scalable solutions while promoting agile practices, collaboration, continuous learning, and an inclusive engineering culture.

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 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 a full-stack engineering growth pod, owning its roadmap, delivery quality, team culture, hiring and career development. The manager remains hands-on by writing and reviewing code, shaping architecture, coaching engineers, and participating in technical decisions. The team rapidly experiments with product experiences, using data-driven insights to help people discover and understand Atticus services. The role partners closely with product, design, and data science while operating in an ambiguous, resource-constrained startup environment.

Lead and grow a full-stack engineering team delivering cloud-native, microservices-based risk management solutions. Collaborate with product managers, mentor engineers, oversee architecture and delivery, and occasionally contribute code. Drive adoption of modern cloud, container, and AI/ML technologies to build scalable, compliant systems.

Leads a software engineering portfolio and people-management team building cloud-based, full-stack risk technology solutions. Oversees distributed microservices, regulatory technology, AI-powered risk management tools, and collaboration with product managers. Mentors engineers, evaluates code, promotes modern technology practices, and may contribute hands-on development using multiple programming languages, databases, containers, Kubernetes, and cloud services.

Lead engineering teams developing and polishing dynamic gameplay and narrative systems for a AAA game. Own major subsystems, drive systems to shipping quality, create technical roadmaps, manage schedules and outsourcing partners, oversee console porting and optimization, and mentor programmers. Collaborate across studio disciplines while contributing to architecture, coding, testing, debugging, performance improvement, documentation, and development lifecycle practices.

Leads engineering teams supporting Liberty Mutual’s Guidewire ClaimCenter application and database platforms. Responsibilities include people leadership, delivery accountability, technical guidance, platform migration to Guidewire SaaS, SRE practices, technical debt reduction, risk management, Agile/SAFe planning, hiring, vendor coordination, performance management, and financial planning. The role partners with architects, product owners, technology teams, and business stakeholders to maintain stable, scalable platforms supporting claims transformation initiatives.

Leads engineering teams developing automation and robotic process automation solutions while advancing responsible AI-enabled transformation. Partners with product, operations, and technology leaders to modernize service processes, reduce manual effort, improve quality, and deliver employee and customer value. Responsibilities include managing complex technology development, optimizing teams, applying technology standards, building cross-functional consensus, and translating emerging technologies into practical business solutions.

Lead and grow a team of engineers building account and transaction history infrastructure. Drive re-architecture for scale, own internal developer tools and dashboards, shape distributed systems and streaming pipeline architecture, coordinate roadmaps with product and finance, and own hiring, SLA accountability, incident response, and on-call practices.

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.

Lead the Health Records engineering team, defining technical strategy and architecture for secure, scalable systems that ingest, process, govern, and expose clinical health data. Manage hiring, coaching, performance, and succession planning while partnering with Product, Design, Data Science, Security, and Platform Engineering. Drive cross-functional execution, operational excellence, privacy, regulatory compliance, and reliable healthcare platform delivery.

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.

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

Lead the Ad Serving team at Roku, developing technical strategies and high-performing teams for scalable advertising platforms while improving developer productivity.

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.

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

Lead and grow a hands-on Maps & Search engineering team owning home search across web and mobile. Set technical direction, contribute to code, and scale a high-throughput search platform (~1B monthly requests). Improve relevance, latency, and reliability, integrate AI/LLMs into discovery and ranking, and drive delivery from roadmap through incidents and production operations.

Lead and grow a frontend platform team owning Zocdoc's accessible React component library and design system. Define roadmap and technical strategy, drive adoption across web and mobile, institutionalize accessibility and quality, mentor engineers, partner with UX/Product/Analytics, and deliver platform improvements that speed frontend and mobile development.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

Leads engineering teams delivering automation and robotic process automation solutions across the service organization. Partners with product, operations, and technology leaders to modernize processes, reduce manual work, improve quality, and develop AI-enabled capabilities. The manager is responsible for team leadership, technology strategy, responsible AI adoption, operational excellence, stakeholder collaboration, and delivering practical business value through software solutions in an agile environment.

Lead and mentor an engineering team owning organic discovery and SEO-driven content platforms. Partner with Product and Marketing to prioritize roadmap, build scalable web experiences, use data and experimentation to improve traffic and engagement, and shape strategy for traditional and AI-driven search experiences.

Leads multiple engineering teams delivering AI-powered data connectivity solutions. Owns execution, delivery, technical direction, operational reliability, and cross-team coordination. Develops engineering talent through coaching, hiring, and performance management while partnering with Product and Engineering leadership on priorities and organizational planning. Guides architecture, cloud-native development, incident response, SLOs, and AI-assisted software development practices. Requires strong Java/Kotlin expertise, cloud architecture experience, and technical judgment across distributed systems.