Top Engineering Jobs in Boston, MA

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

Co-op supporting early-stage product development by generating user-centered concepts, building and testing rapid prototypes, running design studies and user tests, and iterating designs with cross-functional teams. Emphasis on mechanical design, ergonomics, materials, and feasibility from concept through prototyping.

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 mentor a team of Data Engineers to deliver scalable customer-focused data solutions. Provide hands-on technical ownership, set architectural and engineering standards, advance AI-enabled development practices, and collaborate cross-functionally to improve data foundations, reporting, and delivery.

Lead and scale global security engineering across application, AI, cloud, corporate, SecOps, and red team domains. Define secure architecture and governance, drive automated threat detection and AI security, personally perform adversarial testing, coordinate incident response and regulatory readiness, and report security posture to executives while building a high-performing team.

Lead strategy and execution for a next-generation Strategic Trade Management platform. Define architecture, drive cloud-native modernization, build and mentor engineering teams, partner with trading, risk, and business leaders, champion AI-enabled delivery, and ensure regulatory, resiliency, and operational excellence across trade lifecycle, pricing, risk, and settlement capabilities.

Join SharkNinja's Quality Assurance team as a full-time co-op to execute manual tests on consumer and connected products, develop test cases and protocols, document defects, collaborate across teams, participate in sprints and standups, and help improve testing processes and troubleshooting for firmware-based devices.

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.

Manage onshore and offshore software engineers to deliver scheduled releases. Coordinate with Architects, Product, QA, and Release Management; drive integrations, interoperability, security remediation, and incident response for distributed, microservices-based web applications.

Lead engineering for Cloud Observability across multiple cloud providers, managing ~40 engineers via Engineering Managers. Shape roadmap with product leadership, drive AI adoption, navigate cross-team dependencies, build and retain talent in NYC/Boston/Paris, mentor EMs, and participate in on-call rotations.

Lead enterprise architecture for engineering excellence: define architectural vision, standards, governance, and reference patterns; align roadmaps to business objectives; drive adoption of modern engineering capabilities across cloud, data, integration, and security; chair design authority, mentor architects, measure architecture value, and support critical escalations and urgent IT incidents.

Lead a team to operate and scale CarGurus' data platform across ingestion, orchestration, storage, and observability. Own roadmap, SLAs, cost, security, and quality controls; improve developer experience; collaborate with product and stakeholders to prioritize initiatives, resolve incidents, and drive platform reliability and scalability.

Lead design and prototyping of AI-enabled solutions for Oncology R&D. Develop data pipelines, feature engineering, analytics, and ML models on healthcare data. Partner with scientific and product teams to deliver usable tools, emphasize rapid iteration and production-readiness, and contribute to engineering standards and documentation.

Lead design and implementation of OT/ICS cybersecurity solutions for industrial environments. Manage client engagements and teams, mentor junior staff, develop strategic cybersecurity plans, assess risks to critical infrastructure, ensure compliance, and drive continuous improvement and innovation.

Lead client engagements to improve product development, manufacturing, and supply chain performance using lean principles, digital technologies, and Six Sigma. Manage project planning, budgets, teams, and stakeholder communications while conducting feasibility and market analyses to speed time-to-market, reduce costs, and improve quality.

Advise clients on optimizing product development and manufacturing processes by applying lean and Six Sigma methods, supply chain integration, process simulation, and digital technologies. Analyze lifecycles, identify bottlenecks, develop go-to-market strategies and roadmaps, conduct feasibility and market trend studies, manage project resources, and mentor junior team members.

Lead Oncology AI product strategy and a cross-functional AI engineering team to translate scientific needs into scalable AI solutions across discovery, clinical development, and real-world evidence. Define roadmaps, governance, success metrics, stakeholder engagement, and adoption to move AI initiatives from pilots to sustained impact.

The Senior Security Engineering Manager oversees security policy compliance, manages incident response, tracks threats, and coordinates investigations, ensuring operational stability.

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.

Partner with People, Recruiting, and business leaders to design and execute compensation strategy for technical and G&A teams. Advise on offers, maintain job catalog, analyze market and equity trends, support modeling/reporting, and recommend improvements to ensure competitive, scalable total rewards.

The Hardware Section Manager will lead teams in designing, developing, and deploying advanced technology systems, focusing on RF, electrical, mechanical engineering, and firmware, while ensuring effective staffing, technical execution, and collaboration across disciplines.

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

Lead a mechanical engineering team to deliver home environment products from concept through mass production. Own CAD, prototyping, DFMEA, tolerance analysis, tooling/DFM reviews, validation testing, and mechanism design. Manage 2–4 direct reports, run multiple concurrent programs, coordinate with global partners (Asia/Europe), and present technical status and risks to executives.

The Staff Technical Program Manager will drive program execution in SRE, enhance production reliability, and coordinate cross-functional efforts across teams. Responsibilities include managing program scope, leading incident response, and building scalable systems to support MongoDB's cloud products.