Top Engineering Jobs in Boston, MA

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 and grow multiple product-focused engineering teams to design, build, deploy, and operate scalable, highly available full-stack and microservice solutions on AWS. Mentor engineers, drive engineering practices, break monoliths into microservices, improve velocity, and collaborate with product managers to deliver finance-focused systems including event-driven streaming and integrations.

Leads enterprise security engineering, architecture, cloud and security platform operations, AI security governance, incident response, compliance, and technical team development. Designs controls for AI systems, manages cybersecurity technologies, supports audits and regulatory engagements, mentors security staff, and serves as the designated backup to the CISO. The role combines strategic leadership with hands-on technical execution and executive collaboration.

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.

Lead technical direction for consumer-facing AI initiatives serving 45 million monthly visitors. Design, build, deploy, and operate full-stack agentic and LLM applications using Python, LangChain, LangGraph, and Langfuse. Guide AI infrastructure, evaluation, observability, scalability, and tooling decisions; establish engineering patterns and platform roadmaps; mentor engineers; collaborate with Product, UX, Analytics, and data teams; and document architectural decisions and best practices.

As Director of Finance Technology Systems, you will lead the Finance application landscape, driving automation and optimizing financial workflows. You will manage a team focused on ensuring system integration and compliance with SOX, while partnering with senior finance stakeholders and overseeing AI integration in financial processes.

Leads regional Enterprise Sales Engineering through frontline leader management, strategic deal execution, technical customer engagement, capacity planning, forecasting, hiring, coaching, and operational excellence. Partners with Sales, Product, Marketing, Enablement, and Support to scale go-to-market execution and customer outcomes. The role requires deep experience in sales engineering leadership, cloud and observability technologies, security, cross-functional influence, executive communication, sales methodologies, and AI tooling. Travel is required as needed.

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.

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.

Lead and oversee multiple multidisciplinary teams to architect, develop, deploy, monitor, and maintain full-stack AI solutions (including LLM integrations). Provide strategic and technical leadership, drive experimentation and CI/CD practices, ensure quality and stakeholder alignment, promote innovation, and mentor senior and junior team members to deliver business-aligned AI outcomes.

Develop, test, and validate Generative AI agents and data pipelines with automated testing and governance controls. Analyze complex problems, produce actionable insights, mentor junior associates, and collaborate with multidisciplinary teams to deliver AI-enabled client solutions while upholding professional standards and documentation.

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 a team that builds and operates SDLC tooling and AI-enabled developer infrastructure. Own delivery, reliability, adoption, reporting, audit automation, sensitive-data protections, and governance for LLMs and agentic tooling. Partner with Architecture, Security, Privacy, and Engineering Excellence to translate standards into workflows, measure outcomes, and enable developer training and documentation. Hire, coach, and manage DevOps engineers, tooling admins, and developers to drive measurable engineering productivity improvements.

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.

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.

The Data Engineer will design and build data solutions, develop ELT jobs, ensure data quality, and collaborate with technical teams to align data strategies with business goals.

Lead and grow an AI engineering organization building foundation-model training and LLM-powered production systems. Own design, deployment, optimization, evaluation, governance, and observability of scalable AI platforms; make build-vs-buy decisions across open source and SaaS AI technologies; drive technical vision and mentor engineering teams to deliver responsible, high-performance AI capabilities.

Lead delivery of scalable, secure, production-grade AI and application platforms. Define architecture, CI/CD, observability, and quality standards; manage ~30 FTEs and contractors; drive cross-functional integration with data, product, and platform teams; ensure reliable model deployment, monitoring, and continuous improvement while communicating trade-offs to senior leadership.

Work on production-scale observability and security systems across backend, frontend, infrastructure, and data engineering. Design, build, and optimize distributed, cloud-native services; tackle performance, reliability, and scalability challenges; and deliver end-to-end technical projects while collaborating with mentors and peers.

Lead a small engineering team owning identity & access architecture and roadmap (SSO/OIDC/SAML, SCIM, multi-tenant isolation, authorization) across Tulip's multi-cloud environment. Stay hands-on in design and code, enforce automated tests and runbooks, partner with Security, Infrastructure, Product and Customer Success, and drive adoption of AI tooling in the SDLC to accelerate safe, reliable delivery.

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.