Top Engineering Jobs in Boston, MA

Lead and grow a Data Foundations engineering team building high-throughput, reliable data platforms. Drive architecture and delivery for ingestion, buffering, enrichment, replication, storage, and query layers (ClickHouse, CDC, event streaming), ensure operability across SaaS/Dedicated/Self-Managed/Cells deployments, hire and coach engineers, and collaborate cross-functionally to deliver customer-facing reporting and search capabilities.

Manage and coach a regional Sales Engineering team to qualify and close deals for Datadog Security and observability products. Partner with sales, deliver demos, support technical evaluations/POCs, recruit and onboard SEs, coordinate with product/support, run performance reviews, and drive pre-sale customer success.

Lead multiple platform engineering teams to build scalable, high-volume SaaS infrastructure for security products. Drive technical roadmap, SRE and developer-experience best practices, integrate AI tooling, hire and coach managers, measure engineering performance, and partner with product and architecture to deliver iterative customer value.

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.

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

Lead the software engineering strategy, driving AI adoption and managing a high-performing team to streamline operations and enhance customer experiences for connected beverage machines.

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.

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

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.

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 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.

Lead and build Deepgram's AI enablement function: prototype and ship reusable agents, MCP servers, paved-road workflows, prompt and retrieval patterns, and an enablement hub. Drive company-wide AI adoption with measurable productivity metrics, embed safe-use guardrails, partner across Platform, Security, Data, and People Ops, and grow a central team and distributed champions network.

Lead end-to-end delivery of ML infrastructure and AI tooling programs, defining architecture and rollout strategies for training, serving, and monitoring. Coordinate research, engineering, product, and data teams to optimize inference cost/latency, build internal tools for experiment tracking and model versioning, and resolve bottlenecks to enable faster, scalable ML deployments.

Lead and scale a team of product specialists supporting strategic solution categories. Define engagement models, prioritize coverage, coach on discovery, demos, technical validation and executive communication, create reusable plays and assets, partner with Sales, Product, and Product Marketing, and hire/onboard specialists to improve win rates and category health.

Lead and grow a backend/platform engineering team building API-driven systems and core services. Own technical direction, architecture, reliability, and integration with product, data science, and infrastructure. Hire and mentor engineers, contribute to code and architecture, support incident response, and ensure scalable, secure, production-ready backend APIs and platform tooling.

Build reliable AI-powered, agentic backend systems to remove friction across the software development lifecycle. Design multi-step orchestration, safety checks, and evaluation tooling; apply distributed-systems judgment; work across GitLab codebases and with a distributed team to productionize solutions that may become customer-facing.

Lead technical direction for a greenfield team building agentic/LLM-backed systems to reduce SDLC friction. Drive discovery through shipping, apply distributed-systems judgment at scale, mentor engineers, own technical hiring and cross-team alignment, and evaluate correctness and safety of agentic workflows.

The Lead Architect will develop backend services, oversee integration with imaging facilities, set coding standards, mentor engineers, and ensure fault-tolerant systems while adhering to healthcare data standards.

This role involves leading the safety strategy for autonomous driving systems at GM, directing validation methodologies and ensuring safety performance through collaboration across teams, hiring, and developing engineering talent.

Operate and automate large-scale data plane services (Cassandra, Elasticsearch/OpenSearch, Kafka, etc.), build infrastructure for a devops model, troubleshoot production incidents, and ensure petabyte-scale data is secure, available, and efficiently managed.

Lead and scale a cross-functional AI and engineering organization that builds production-grade AI models, automated data pipelines, and LLM-driven workflows to power Samsara's GTM operations. Define a multi-year AI roadmap, set quality and review standards for model outputs, collaborate with execs across Engineering, Product, and RevOps, and hire and mentor managers and individual contributors to drive adoption and reliable automation across CRM, telemetry, and enterprise data systems.

As a Principal Consultant, you'll lead high-impact infrastructure transactions, manage multidisciplinary teams, and guide clients in investment decisions while ensuring quality in complex projects.

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