Top Engineering Jobs in Boston, MA

Leads a platform engineering team responsible for an enterprise-scale Kubernetes platform. Manages hiring, staffing, performance, technical guidance, vendor relationships, operational standards, incident management, platform reliability, security, and infrastructure modernization. Partners with product, architecture, and engineering stakeholders to align strategy, remove delivery obstacles, manage dependencies, improve developer self-service, and maintain quality. Coaches team members, drives professional development, oversees workforce planning, and evaluates new technologies for platform enhancement.

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 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.

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.

Lead and manage embedded firmware teams to deliver scalable, maintainable software for consumer products. Coordinate cross-functional teams, drive architecture and release processes, manage resourcing and schedules, mentor engineers, and ensure on-time, high-quality product launches across multiple product roadmaps.

Lead the Customer Agent AI project at Klaviyo, managing engineering teams, defining technical direction, and driving architectural decisions to develop a conversational AI platform.

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.

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 global engineering program delivery for audio software, tuning, and services. Scale program management teams, establish software-focused delivery processes, manage cross-functional priorities, report to executives, mitigate risks, and support customer and business development engagements to ensure predictable, data-driven execution across dozens of concurrent programs.

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 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.

Lead and mentor an engineering team owning organic discovery and SEO-driven content platforms. Partner with Product and Marketing to prioritize roadmap, build scalable web experiences, use data and experimentation to improve traffic and engagement, and shape strategy for traditional and AI-driven search experiences.

Manage a Quality Engineering team responsible for manual and automated testing of new features, maintenance, integrations, and product releases. Mentor engineers, establish quality standards, improve testing processes, oversee test plans and cases, collaborate with Product and Development, monitor quality metrics, research testing technologies, and resolve quality issues. The role requires testing across mobile and desktop platforms, virtual environments, and Agile development workflows.

Leads engineering teams building scalable, cloud-native AI-enabled marketing platforms. Defines platform vision, architects real-time data and decisioning systems, establishes integration and reliability standards, and oversees end-to-end delivery, deployment, and adoption. Partners with Product, Data, Marketing, AI/ML, CRM, media, and external technical teams while mentoring engineers and communicating with executives. The role emphasizes reusable data capabilities, automated marketing workflows, CI/CD, system security, availability, and measurable business outcomes.

Lead and grow a global product and engineering recruiting team: set performance goals, mentor managers and recruiters, partner with business leaders, improve processes, source hard-to-find engineering talent, leverage AI tools, maintain ATS accuracy, and ensure excellent candidate experience across hiring lifecycle.

Design, build, and maintain high-throughput data processing services, focusing on streaming and batch data systems to enhance player experiences.

Lead the design of biotherapeutics using AI/ML methods. Collaborate with teams to implement workflows, optimize antibody engineering, and analyze large biological datasets.

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 and grow a team of autonomy engineers to stand up autonomy on novel platforms (space, maritime, rotorcraft), own delivery from design through fielding, write and integrate latency-sensitive autonomy code, coordinate with platform and cross-functional teams, support live tests and deployments, and evolve R&D efforts into longer-term programs.