Top Engineering Jobs in Boston, MA

You will lead the Science & Technology market strategy at STV, driving growth and managing key client relationships while contributing to project delivery and mentoring teams.

The Strategic Technology Analyst focuses on long-term technology research and strategic insights for Analog Devices' Technology Strategy Board, emphasizing technology sensing and horizon scanning. This role will involve deep technical analysis, collaboration with various teams, and active engagement with external research partners to identify and evaluate emerging technologies.

Join TekniPlex's talent community to stay connected for future opportunities across various fields, contributing to innovative material solutions.

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.

Design, build, and operate foundational platform services to improve availability, scalability, latency, and efficiency. Enable product teams via platform primitives (infra, databases, queuing), leverage Python, Go, AWS, Kubernetes, and Terraform, and mentor engineers to deliver resilient, scalable systems and improved developer experience.

Lead and grow a platform engineering team to modernize build systems, CI/CD, developer tooling, cloud-native infrastructure, IaC, automation, and AI-enabled engineering capabilities. Drive delivery of strategic platform initiatives, improve developer productivity and platform reliability, manage technical debt, and partner cross-functionally to align engineering priorities with business goals.

Lead and grow engineering teams owning the Guidewire PolicyCenter platform. Ensure scalability, reliability, security, upgrades, and developer experience. Drive DevSecOps/SRE practices, CI/CD, observability, data governance, DORA metrics, data quality, and platform ROI. Partner with Guidewire, product, architecture, security, and enterprise data to align roadmaps, enforce policies, and enable AI/ML workflows while hiring, coaching, and removing technical debt.

Lead engineering strategy and execution to build Property & Specialty lines into a modern Guidewire PolicyCenter platform. Build and develop global engineering teams, drive cloud-native, DevOps, and quality practices, coordinate cross-functional partners and system integrators, own delivery outcomes for a multi-year modernization program, and influence enterprise architecture and technology investments.

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 Forward Deployed Engineering and Technical Support teams, owning customer technical outcomes from pre-sales through deployment. Define engagement models, SLAs/SLOs, on-call/escalation structures, tooling, and feedback loops into Product and Engineering. Partner cross-functionally to prioritize roadmap, improve self-service, and drive operational discipline.

The Manager of Software Engineering will lead the Developer Environments team, enhancing developer productivity through effective environment provisioning and CI/CD workflows while mentoring engineers and implementing system reliability improvements.

The Director of Retail Engineering will lead architecture and development of Toast's Retail Platform, ensuring resilience and data integrity, managing teams, and driving technical strategy to support Grocery and Convenience Store demands.

Lead enterprise application engineering delivery and operations across front-office, back-office, and employee platforms. Ensure stability, scalability, security, and alignment to business outcomes while driving simplification, automation, AI-enabled practices, lifecycle management, governance, and stakeholder value realization. Build and develop a high-performing engineering organization.

Lead end-to-end delivery of complex technical programs spanning hardware, software, and research. Define workstreams, set milestones, coordinate cross-functional teams, identify and mitigate risks, dive into technical details, and build lightweight processes and tooling to scale AI/ML infrastructure and GPU/cloud deployments.

Lead design and build of an AI-native engineering OS enabling AI across the SDLC/PDLC. Deliver model access, agent orchestration, prompt/spec frameworks, developer portals, CI/CD re-architecture, governance, cost optimization, and an internal AI marketplace. Build and lead an AI platform engineering org and drive org-wide adoption of standardized AI workflows and tooling.

Lead and develop a team of automation engineers, own test automation backlog and frameworks, drive UI/API/performance testing, integrate AI-driven testing practices, collaborate cross-functionally, hire and mentor staff, and contribute hands-on to automation and CI/CD improvements.

Lead and scale Sales Engineering teams in North America, defining strategies and collaborating with global stakeholders to drive technical sales success.

Lead and execute SharkNinja's AI integration across the engineering lifecycle: build unified engineering data infrastructure, deploy AI-powered tooling for design, testing, reliability, and program management, embed AI Fellows into teams, drive change management and adoption, and deliver measurable outcomes tied to faster, higher-quality product development.

Lead analytics engineering for Revenue, Marketing, and Finance by building scalable data solutions, data models, and dashboards; provide training and consultation, support ad hoc data needs, and translate technical findings into executive-level insights to improve operational performance.

Lead one or more backend engineering teams responsible for core platform services, APIs, data stores, and distributed systems. Drive operating cadence, technical direction, scalability, reliability, and debt reduction. Partner with product and cross-functional stakeholders, participate in architectural decisions, hire and develop engineers, and ensure predictable delivery and high-quality solutions at scale.

Lead and grow a platform engineering team responsible for ML training and serving. Define roadmap, drive execution, ensure reliability, optimize GPU and deployment infrastructure, and collaborate with ML, product, and infra teams to support high-priority ML initiatives.

Lead and scale AI platform and agent engineering teams to build AI infrastructure, agent runtimes, MLOps/LLMOps, prompt and skills lifecycle management, and forward-deployed engineering for healthcare customers. Drive platform reliability, security, observability, enterprise integrations, and operational excellence to deploy AI-powered solutions at scale.

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.