Top Software Engineering Manager Jobs in Boston, MA

Lead the Performance and Quality Frameworks team, owning scalable performance engineering platforms and shared functional testing frameworks. Drive architecture, reliability, adoption, documentation, self-service, and roadmap execution across product teams. Apply AI tools such as Cursor and Claude Code to improve test development, maintenance, analysis, and engineering efficiency. Partner with cross-functional stakeholders, mentor engineers, measure framework outcomes, and support highly distributed SaaS systems using cloud, microservices, containers, and CI/CD technologies.

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.

Lead the Purchase team, mentor engineers, drive AI-native practices, manage product development, and define consumer-facing AI solutions for CarGurus.

Lead and manage forward-deployed software engineering teams in PwC's Tax practice. Own project planning, budgeting, execution, and delivery of API-driven, microservices-based applications. Mentor staff, implement CI/CD, ensure enterprise application integration, optimize system interactions, and collaborate with clients and support teams to resolve software issues and drive digital transformation.

Lead and manage teams to design, build, test, and deploy enterprise software solutions. Drive CI/CD, API-driven integrations, code quality, client engagement, and process improvements while coaching high-performing teams.

Leads software engineering teams and a portfolio of technology projects involving distributed microservices, full-stack systems, and cloud-based solutions. Partners with product managers, mentors engineers, evaluates and occasionally writes code, and drives technology transformation while addressing regulatory needs. The role requires people management, software engineering, cloud computing, modern programming languages, databases, container orchestration, and Agile practices.

Lead the ToastNow engineering team in delivering high-quality native mobile experiences for restaurant operators. Drive planning, execution, cross-functional collaboration, backlog development, production quality, monitoring, and issue resolution. Hire, mentor, and develop engineers while fostering diverse, high-performing teams. Champion AI tools and practices to improve development speed, quality, and team velocity.

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.

Leads and mentors cross-functional engineering teams building and operating distributed, API-driven, cloud-native platforms. Owns technical strategy, architecture, delivery outcomes, engineering excellence, operational reliability, and API lifecycle governance. Drives Agile, DevOps, cloud migration, observability, and incident management practices. Establishes responsible AI adoption across software development and guides delivery of AI-enabled products, including agentic solutions, with appropriate evaluation and controls.

Leads a software engineering team building backend services, APIs, and product integrations. Responsibilities include people management, technical direction, architecture reviews, delivery planning, vendor coordination, API and integration standards, testing, observability, release readiness, and production support. The manager partners with Product, DevOps, QA, Security, Program Management, customers, and external technology vendors to deliver secure, scalable, and reliable software.

Leads software and Information Solutions projects for manufacturing and industrial clients, overseeing architecture, execution, client relationships, staffing, schedules, quality, commissioning, and customer satisfaction. Manages, mentors, recruits, and develops engineers while supporting firm-wide standards and technical capability growth. The role requires MES, data collection, reporting, and analytics expertise, strong client communication, and travel for installations, meetings, training, and industry events.

Leads and mentors an engineering team, overseeing technical decisions, architecture, delivery, quality, testing, CI/CD, support escalations, and continuous improvement. Partners with product, design, customer success, and engineering leadership to deliver roadmap commitments. Manages prioritization, KPIs, delivery health, hiring, onboarding, performance reviews, and career development in a fast-growing SaaS environment.

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.

Lead and grow an engineering team building core VM and container platform capabilities for Azure. Drive technical strategy, execution, incident resolution, cross-team coordination, and scalable, secure platform innovations.

Lead quality assurance strategy and execution for Cisco Secure Client across desktop and mobile platforms. Drive AI-enabled testing, automation, validation, performance testing, defect tracking, and CI/CD quality initiatives. Develop QA strategies and test plans, collaborate with engineering and product stakeholders, mentor QA engineers, and guide technical excellence in software quality, AI/ML validation, and endpoint security.

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.

Lead the Core Platform organization for a cloud-native Unified Factory Platform, owning long-term architecture, scalability, reliability, security, data architecture, and team development. Hire and coach engineering leaders, set platform standards (APIs, observability, automation), drive SLAs and KPIs, and align roadmap with product, hardware, and executive stakeholders for global SaaS deployments.

Leads and coaches a team building and maintaining integrations between a cybersecurity platform and third-party technologies. Responsibilities include technical design reviews, code reviews, troubleshooting, direct engineering contribution, delivery planning, stakeholder collaboration, process improvement, and team development. The manager balances new integrations, maintenance, customer needs, and technical debt while promoting reliable engineering practices and practical use of AI-assisted development tools.

Leads and develops a software engineering team building consumer-facing mobile and web experiences. Owns technical strategy, multi-quarter roadmaps, architecture, reliability, performance, incident response, and operational improvements. Partners with Product, Design, Analytics, and engineering teams to deliver large-scale redesigns and cross-functional initiatives while driving alignment, execution, and a high-trust team culture.

Lead and grow an engineering team (up to 12), own kanban-based delivery, translate business priorities into measurable outcomes, recruit and develop engineers, model AI-native practices, partner with Principal Engineer on technical direction, and maintain clarity and accountability across stakeholders.

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.

Leads and grows a distributed software engineering team building a scalable cloud data and analytics platform. Owns architecture, data modeling, technical delivery, roadmaps, product collaboration, agile planning, quality standards, security alignment, vendor relationships, and engineering KPIs. The role remains hands-on with coding, code reviews, documentation, data architecture, deployment, and development of SaaS data products using Azure or AWS, Microsoft Fabric or Snowflake, and Power BI.