Top Engineering Jobs in Boston, MA

Leads enterprise Security Engineering and Security Operations strategy, teams, technical standards, roadmaps, and measurable outcomes. Oversees detection and response, incident readiness, security automation, identity, cloud, endpoint, SaaS, data protection, and AI security. Manages significant incidents, security partners, organizational design, hiring, and cross-functional collaboration while developing managers, engineers, and analysts. Partners with the CISO to strengthen security posture and operational performance in a sensitive-data technology environment.

Leads and mentors a cross-functional engineering team building platforms spanning embedded systems, mobile, backend, and third-party services. Defines technical strategy, architecture, and scalable solutions for research initiatives; partners with stakeholders, manages vendors, maintains development and testing best practices, contributes technically as a player-coach, and supports team growth and delivery.

Leads global IT operations and engineering strategy for a high-growth company. Responsibilities include designing scalable workplace technology, automating IT operations, embedding security and compliance controls, driving cross-functional transformation, and building a high-performing technical team. The role requires balancing architecture, speed, scalability, employee experience, financial stewardship, and business needs while delivering reliable systems and innovative IT capabilities.

Lead cross-functional hardware engineering projects from kickoff through launch, including continuous improvement, yield enhancement, and electromechanical redesign initiatives. Create project plans, coordinate engineering builds with manufacturing partners, manage risks and dependencies, and drive resolution of technical and organizational blockers. Collaborate with engineering, manufacturing, firmware, and supply chain teams to improve product performance, cost, quality, and execution reliability.

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.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.

Leads engineering teams building responsible, scalable AI systems and products. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, observability, and production deployment. Makes build-versus-buy decisions across AI technologies, develops LLM optimization techniques, shapes foundational AI roadmaps, and recruits and mentors engineering talent. Partners with research, engineering, product, and program teams to deliver high-performance AI capabilities.

Lead a multidisciplinary robotics engineering team developing autonomous consumer products from concept through mass production. Own robotic system design, mechanical and electrical integration, embedded controls, sensors, actuators, batteries, prototyping, testing, verification, and validation. Drive improvements in cost, manufacturability, quality, reliability, and consumer value while collaborating with international product teams and executives. Hire, mentor, and develop engineers while delivering robust robotic systems.

Supports development of wearable and biomedical devices across prototyping, testing, data analysis, validation, and refinement. Applies biomechanics, signal processing, control systems, mechanical design, and physiological signal analysis to sensor-enabled products. Uses MATLAB or Python to analyze data and develop models, collaborates with cross-functional teams, and evaluates safety, usability, reliability, materials, and user experience in skin-contact applications.

Develop and refine consumer product concepts through mechanical design, CAD modeling, prototyping, testing, and iteration. Collaborate with industrial design, electrical engineering, marketing, and manufacturing teams across the product lifecycle. Conduct design studies and technical investigations, build physical prototypes, perform user testing, and resolve mechanical, usability, performance, ergonomics, and manufacturability challenges.

Leads Agent Assist, Workflow, and Tooling engineering teams; sets technical strategy; architects scalable customer-care systems; delivers AI/ML solutions; oversees modernization, DevOps, security, reliability, roadmap planning, and cross-functional execution. Builds and mentors engineering managers and senior engineers while driving operational excellence and improved customer and agent experiences.

Leads a team of 5–10 engineers building real-time market data and analytics infrastructure for trading systems. Owns technical strategy and roadmap, drives delivery, ensures data accuracy, reliability, low latency, and scalability, and partners with Product and engineering teams. Responsibilities include hiring, coaching, developing senior engineers, maintaining engineering standards, and delivering index pricing, market data ingestion and distribution, and funding rate computation systems.

Own Tier 3 escalations and incident response for complex customer issues involving a cybersecurity platform. Investigate distributed systems, reproduce defects, coordinate resolutions with engineering and product teams, and build Datadog observability dashboards, monitors, and alerts. Create runbooks, troubleshooting guides, RCAs, and postmortems; mentor support staff; identify recurring failure patterns; communicate with customers; and participate in an application-layer on-call rotation.

Lead and mentor the software engineering team responsible for PSA Set Registry, a large-scale consumer web and mobile product. Drive architecture, development, delivery, code quality, release management, production troubleshooting, and technical strategy. Partner with product, design, and business teams to translate requirements into scalable solutions while promoting agile practices, collaboration, continuous learning, and an inclusive engineering culture.

Develops and executes integration plans for space and ground systems supporting military remote sensing missions. The role evaluates and validates system performance, mitigates integration risks, manages configuration changes, and supports DoD acquisition, sustainment, logistics planning, and lifecycle documentation. Responsibilities span system-of-systems, system, segment, and element levels while coordinating with engineers, analysts, logisticians, and financial managers.

This role involves managing embedded electronic design and product development for vacuum and cleaning products, focusing on analog and digital circuit design, debugging, and collaboration with product marketing.

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 cross-functional engineering teams to deliver audio technologies via external partnerships. Manage product development lifecycle, software-hardware integration, schedules, budgets, risk, and stakeholder relationships. Define operating processes and tools for scaling the Audio Technology business and collaborate with R&D on future roadmaps.

Lead multiple product-focused engineering teams to design, build, deploy, and modernize risk-management software using full-stack technologies, microservices, AWS, Big Data, and ML; mentor engineers, improve engineering practices, and drive migration from monoliths to scalable services.

Lead pre- and post-sales solution architecture for enterprise customers, leveraging AppSec and AI-native expertise to drive deals, define scalable architectures, quantify ROI, influence product direction, and deliver technical presentations to technical and executive audiences.

Manage delivery of a portfolio of AI and data science projects from planning through implementation. Coordinate technical and non-technical teams, dependencies, requirements, budgets, timelines, and stakeholder expectations. Lead Agile ceremonies, drive accountability, translate AI capabilities into actionable requirements, and proactively identify and mitigate risks across complex, concurrent initiatives.

Leads engineering teams delivering automation and robotic process automation solutions across the service organization. Partners with product, operations, and technology leaders to modernize processes, reduce manual work, improve quality, and develop AI-enabled capabilities. The manager is responsible for team leadership, technology strategy, responsible AI adoption, operational excellence, stakeholder collaboration, and delivering practical business value through software solutions in an agile environment.

Leads more than 10 engineers across Agent Tools, Agent Observability, and Runner Execution. Responsibilities include hiring, coaching, prioritization, technical design, AI tool standards, safe agent execution, sandboxing, observability, and cross-functional partnership across GitLab’s AI organization.

Leads PLM solution implementations and operational consulting engagements to optimize product development, manufacturing, and supply chain processes. Analyzes lifecycle bottlenecks, develops improvement strategies, applies lean manufacturing and Six Sigma, integrates PLM with enterprise systems, and conducts feasibility and market analyses. Manages project planning, budgets, execution, client relationships, quality, and timelines while coaching teams and supporting strategic product development initiatives.

Provides operations consulting focused on product lifecycle management, lean manufacturing, supply chain integration, and digital process optimization. Analyzes product development lifecycles, identifies bottlenecks, conducts feasibility and market analyses, and develops strategies to improve speed to market, quality, and manufacturing costs. Supports PLM implementations and integrations using Siemens Teamcenter or PTC Windchill, manages project resources, interprets data, and advises clients on operational strategy.