Top Engineering Jobs in Boston, MA

Lead and mentor a team designing, deploying, and supporting AMR solutions for manufacturing. Engage customers, design integrations and layouts, coordinate cross-functional teams, ensure safety/compliance, improve processes, and support long-term system performance.

Lead Klaviyo's Order-to-Cash technology track, owning roadmap, design, and integrations (e.g., CPQ to NetSuite). Ensure SOX/ITGC controls and audit readiness, drive AI-native automation across O2C workflows, optimize ERP/billing configurations, and partner with Finance and engineering stakeholders to deliver scalable revenue and billing systems.

Lead the multi-year vision and roadmap for Klaviyo’s Finance systems; partner with Finance and engineering to deliver ERP, billing, procure-to-pay, record-to-report, and order-to-cash automation. Drive AI-native finance transformations, ensure SOX controls and audit readiness, coordinate cross-functional delivery, and act as the primary technology partner to finance leadership to improve scalability, controls, and financial insight.

Lead the CloudOps team to enhance internal platforms and developer experience, modernize legacy systems, and collaborate on tool improvement for reliable software deployment on AWS.

Lead and scale a global systems engineering function to define system architectures, requirements, verification/validation, and reliability for connected consumer appliances. Drive MBSE, cross-functional integration (mechanical, electrical, firmware, software, cloud), platform reuse, technical governance, risk mitigation, and organizational capability building to deliver products from concept through commercialization.

Lead a 3-5 developer team to design, build, and maintain 55ip's market data platform and ETL processes. Partner with stakeholders to define solutions, run Agile/Scrum, enforce coding standards and testing, support UAT and post-launch, and mentor engineers while delivering high-scale financial data projects.

Lead strategy, architecture, and execution of an enterprise data engineering platform. Build and manage a high-performing team, modernize cloud-native data platforms, establish engineering standards (ingestion, transformation, orchestration, governance, observability), enable analytics and AI/ML, drive DataOps and CI/CD, manage vendors and budgets, and present roadmap and risks to executive leadership.

Lead and manage end-to-end software engineering programs, coaching teams and coordinating cross-functional stakeholders. Oversee planning, budgeting, execution, and delivery of enterprise applications (including low-code platforms). Drive quality through ATDD, CI/CD, code review and architecture best practices (microservices/API management). Mentor staff, resolve technical and stakeholder conflicts, apply emerging AI technologies, and improve processes to meet engagement objectives and client expectations.

Provide regulatory compliance guidance and cybersecurity risk management to clients. Conduct compliance risk assessments and audits, implement frameworks (ISO/IEC 27001, NIST CSF), develop compliance programs, analyze data for insights, lead training on AML and financial crime prevention, and build client relationships while upholding professional standards.

Lead redesign of the Customer Success unified data model and AI data strategy. Build and optimize pipelines, integrations (contact center), testing/monitoring, and a documented semantic layer. Manage and mentor a small team, partner cross-functionally on KPIs, governance, and data quality, and ensure CS data is reliable for dashboards, reporting, and AI use cases.

Lead and mentor a multidisciplinary engineering team to build and deliver scalable security products (identity management, threat detection, data protection). Drive technical roadmap, manage delivery timelines and risks, enforce security best practices and operational excellence, and own recruitment, performance, and career development for the team.

Develop custom systems for hypersonic flight vehicles, manage technical requirements, and participate in collaborative engineering efforts and testing activities.

Lead and scale a multidisciplinary Platform Engineering organization owning cloud infrastructure, developer experience, SRE, and DevSecOps. Define technical strategy, run CI/CD and monorepo systems, drive AI-assisted and agentic development adoption, ensure reliability and cost-efficiency, and recruit and develop engineering leaders while partnering with product, security, and stakeholders.

Lead the production infrastructure organization to define platform primitives (compute, storage, networking, observability), drive reliability (SLOs/SLIs, incident management, capacity planning), create golden paths and cost-effective frameworks, mentor and scale teams, collaborate cross-functionally on platform investments, and apply AI to improve infrastructure operations and developer productivity.

Lead and manage a team delivering full-stack, cloud-based microservices solutions for risk management. Collaborate with product managers, mentor engineers, evaluate and occasionally write code, and drive adoption of modern tech (cloud, containers, databases, AI tooling) to meet regulatory and business needs.

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.

Lead an AI engineering team to design, build, deploy, and support foundation-model and LLM-based systems. Oversee model training, inference, similarity search, guardrails, evaluation, observability, and scalability optimizations. Make build-vs-buy decisions across OSS and SaaS AI technologies, set technical vision and roadmap, and recruit, mentor, and retain engineering talent.

Lead technical direction and development of core platform primitives (infrastructure, databases, queuing, observability). Own multi-team platform initiatives, improve scalability, availability, latency, and cost-efficiency, mentor engineers, drive on-call and reliability practices, and leverage Python/Go, cloud-native tools, and IaC to enable product teams to build and operate confidently.

Lead and manage a team delivering end-user device platforms and services across corporate and retail users. Own architecture, implementation, troubleshooting, and lifecycle for Windows and macOS endpoints and management tooling. Act as escalation for executive support, collaborate with vendors and partners, apply ITIL practices, drive metrics-driven improvements, and develop staff to ensure secure, available, and customer-centered end user technology.

The Mechanical Engineering Technician will oversee the machine and assembly shop, assist in prototyping parts, create fixtures, and ensure shop organization and maintenance.

The Platform Engineering Product Director will lead enterprise integration strategy and middleware platforms, focusing on scalability, performance, and integration solutions across various business functions, while mentoring teams and managing vendor relationships.

Lead the execution of mission-critical systems for aviation operations, managing multiple engineering teams, ensuring performance and compliance.

The Director of R&D Mechanical Engineering at SharkNinja will lead the engineering team, shape R&D strategy, drive innovation, and champion technical excellence across multiple product development programs.

Lead the design and implementation of integrated consumer experience solutions using Salesforce Service Cloud and CCaaS platforms, focusing on automation, AI integration, and seamless consumer journeys.

Lead and scale the IT Systems engineering organization responsible for SaaS systems, identity and access (Okta), endpoint management (Jamf/Intune), and networking. Build team structure and engineering leaders, set technical direction and standards, drive automation and operational excellence, establish scalable processes (project intake, incident and change management), manage vendors and SaaS lifecycle, and partner with cross-functional stakeholders to deliver business-aligned outcomes.