Top Engineering Jobs in Boston, MA

Leads multiple engineering teams building internal platforms, web applications, AI-powered workflows, integrations, data pipelines, and automation. Sets technical direction, oversees architecture and delivery, partners with product and business stakeholders, and develops engineering talent. The role emphasizes front-end development with TypeScript and React, CMS integrations, internationalization and localization, scalable SaaS systems, AI-enabled marketing workflows, and operational productivity improvements.

Part-time internship to learn and configure ServiceNow through training and mentorship. Work on real customer projects, write and test scripts, attend meetings and SCRUM, troubleshoot configurations, and pursue certifications.

Leads data engineering architecture and modeling initiatives, designing scalable pipelines, cloud data platforms, and reusable data solutions. Collaborates with engineering, product, analytics, and data science teams while mentoring developers and establishing common design patterns. Responsibilities include distributed data processing, relational and NoSQL systems, data security, observability, streaming pipelines, and operational excellence across platforms such as Databricks and Snowflake.

Lead cybersecurity risk and compliance engagements, develop and implement compliance strategies, oversee audits, advise on AML/financial-crime controls, coach teams, validate client outcomes, and promote compliance culture across organizations.

Lead multidisciplinary engineering teams and manage complex consumer hardware programs from prototype through launch. Coordinate hardware, firmware, manufacturing, product, design, UX, and vendor partners; manage schedules, milestones, resources, risks, testing, development builds, and executive communications. The role also includes managing an engineering program management team and advising leadership on prioritization and team allocation.

Leads development of WHOOP’s next-generation charging platform from system architecture through high-volume production. Manages and mentors electrical engineers while remaining hands-on with circuit design, PCB review, prototype bring-up, characterization, debugging, and system integration. Partners with mechanical, firmware, manufacturing, supply chain, suppliers, and contract manufacturers to resolve technical tradeoffs and deliver manufacturable, reliable products. Requires up to 15% domestic and international travel and is based in Boston, Massachusetts.

Leads and develops a 5–10-person software engineering team, sets technical strategy, guides architecture and API design, and partners with product, design, data science, and business stakeholders. Owns product delivery, reliability, observability, incident response, security, automation, testing, continuous delivery, and operational health while hiring talent and fostering an inclusive, high-performing team culture.

Leads suspension structural component design and manufacturing engineering for stampings, castings, and forgings. Develops internal design and manufacturing processes, engineering standards, GD&T, FMEAs, control plans, APQP, and PPAP deliverables. Conducts DFM/DFA reviews, manufacturing simulations, DOE, capability analysis, tooling approvals, validation correlation, and root-cause resolution. Supports prototype and production launches while coordinating with suppliers, plants, testing centers, and cross-functional engineering teams. Occasional travel is required.

Leads a cross-functional engineering team responsible for GameChanger’s basketball coverage products across iOS, Android, and backend platforms. Coaches and develops engineers, sets delivery and reliability standards, partners with Product and Design on priorities, hires talent, and contributes to engineering culture and organizational effectiveness. The role requires technical depth, architecture fluency, product judgment, and active development of AI fluency.

Lead the technical vision and execution for Toast IQ, an AI platform using LLMs and agentic workflows. Manage and mentor engineering teams, establish AI architecture and toolchain standards, maintain internal developer platforms, translate strategy into roadmaps, and deliver scalable backend, web, and mobile experiences. Partner with Product and Design to create customer-focused AI capabilities while balancing experimentation, quality, and platform stability.

Lead the IQ Platform engineering team and define the architecture and roadmap for Jasper’s AI context layer. Build scalable knowledge management systems, integrations, and RAG pipelines that improve agent intelligence and reliability. Serve as a player-coach by contributing code, mentoring engineers, partnering with Staff-level technical leaders, and driving major platform initiatives from strategy through delivery.

Leads GitLab’s Database Excellence organization, setting strategy for PostgreSQL and other application datastores. Owns database reliability, capacity, availability, sustainability, infrastructure costs, and platform standardization. Manages three Engineering Managers, develops technical leaders, oversees hiring and organization design, establishes objectives and KPIs, manages budgets, partners cross-functionally on platform investments, and serves as an escalation point for database incidents and operational processes.

Lead a team of firmware and ML engineers developing, optimizing, and deploying computer vision and AI models on edge devices. Provide hands-on technical leadership for embedded systems, low-latency processing, and resource-constrained hardware. Partner with Product, Hardware, and Full-stack teams to deliver products from concept through mass production, shape technical roadmaps, and hire and develop engineering talent.

Leads Toast’s analytics engineering function, owning enterprise data architecture, modeling strategy, analytics-layer development, and AI-ready semantic-layer vision. Builds and manages a team of analytics engineers, establishes roadmaps, partners with data engineering and business leaders, and drives scalable, governed data solutions across domains. Requires expertise in data modeling, dbt, SQL, stakeholder alignment, and people leadership.

Manages the Marketplace Performance software engineering team, setting technical strategy and delivering business-critical backend and consumer marketplace systems. Partners with product, design, analytics, revenue, and merchant teams; oversees system reliability, monitoring, testing, on-call operations, and technical standards. Develops engineering talent, drives quality and ownership, and contributes to Affirm’s ads platform and marketplace monetization initiatives.

Engineering and technology interns support the design, development, testing, validation, and troubleshooting of connected consumer products and software. Depending on team placement, work may involve electrical and embedded systems, robotics, cloud and mobile applications, web technology, IT support, quality assurance, test automation, product safety, or environmental compliance. Interns build prototypes and test fixtures, analyze data, investigate failures, collaborate cross-functionally, and own projects through presentation to company leaders.

Leads advanced product development across multiple categories, owning early concept development, design storytelling, platform exploration, and innovation strategy. Partners with engineering, R&D, product development, and marketing leaders to create commercially viable, manufacturable products. Builds and manages a multidisciplinary team of engineers, designers, and managers while driving complex global initiatives, technical problem-solving, and scalable development processes.

Design engineering co-op supporting consumer products from concept through launch. Responsibilities include developing CAD models, creating mechanical concepts, building and testing prototypes, conducting design studies, resolving performance and usability challenges, and iterating toward manufacturable solutions. The role collaborates with industrial design, electrical engineering, marketing, and manufacturing teams and requires hands-on experimentation, strong communication, mechanical engineering fundamentals, and user-centered product design skills.

Supports early-stage consumer product innovation through user-centered concept development, CAD design, physical prototyping, testing, and iteration. Collaborates with industrial design, mechanical engineering, and cross-functional teams to solve technical and user-experience challenges. The role emphasizes ergonomics, aesthetics, mechanical principles, hands-on fabrication, user testing, and translating real-world problems into viable product solutions.

Engineering and technology co-op opportunities across electrical, embedded, software, robotics, digital, quality, test, safety, and IT teams. Co-ops contribute to product design, prototyping, testing, debugging, data analysis, software development, compliance, and technical project coordination. Responsibilities may include circuit and firmware development, control algorithms, mobile and cloud applications, automated test systems, quality investigations, product safety, and IT support. Candidates work hands-on with experienced engineers and own projects through the product development lifecycle.

Mechanical Engineering Interns will support the development of SharkNinja home products through concepting, CAD modeling, prototyping, testing, data analysis, design reviews, feasibility studies, and technical documentation. They will collaborate with engineering, design, and product teams while gaining hands-on experience with materials, mechanisms, manufacturing, electronics, and mass production. The role requires full-time onsite work in Needham, Massachusetts.

Develop and test next-generation home products through concepting, CAD modeling, prototyping, design reviews, feasibility analysis, and performance validation. Collaborate with engineers, designers, and product managers across the product lifecycle. Apply mechanical engineering fundamentals, hands-on fabrication, electronics familiarity, data analysis, and technical problem-solving to improve product functionality, reliability, and manufacturability.

Designs and owns scalable CI/CD pipelines, distributed build and test infrastructure, release automation, and engineering workflows. The role improves pipeline reliability, performance, observability, test parallelization, and release quality across multiple teams. Responsibilities include troubleshooting complex infrastructure failures, evolving branching and versioning strategies, integrating quality gates, leading technical initiatives, mentoring engineers, and applying validated AI-assisted engineering workflows.

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 and grows an enterprise Sales Engineering team while owning technical sales processes, discovery, demos, proof-of-value methodology, customer value realization, and field-to-product feedback. The role requires enterprise pre-sales expertise, hands-on implementation experience, technical architecture knowledge, AI-enabled sales practices, and the ability to engage both technical and executive stakeholders. Travel to customer meetings and workshops is expected 25–50% of the time.