Top Engineering Jobs in Boston, MA

Lead the Application Security Practice, overseeing team performance and business growth while delivering high-quality security consulting services and fostering innovation through AI integration and research contributions.

Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

Lead the Orchestration Services team, managing engineering projects and guiding team members, while ensuring reliable, scalable data processing systems.

Lead and mentor a team of engineers, develop strategic roadmaps for application architecture, manage SaaS ecosystems, and build secure integrations and automations.

The Quantitative Researcher will develop mathematical techniques for portfolio optimization, collaborating with teams to deliver and implement solutions efficiently.

Lead Zapier's Enterprise engineering organization responsible for identity, access, audit, admin tooling, and AI/agent governance. Define strategy and technical roadmap, ensure reliability of Tier-1 services, partner with Product, Sales, and Customer Success, shape AI-native engineering practices, build and develop managers and ICs, and oversee cross-org initiatives and incident leadership.

Lead Statara’s Data Products & Engineering function, owning Snowflake-based data infrastructure reliability and evolution, solution architecture for client engagements, pre-sales technical support, cross-functional alignment, and team leadership to deliver scalable data and analytics solutions.

Lead design and delivery of multi-cloud cell placement and orchestration systems; build and grow the cell infrastructure engineering team; own reliability, on-call, incident response, and cost-visibility; partner with platform, CI/CD, and agent teams; define cross-cloud routing, data residency, and developer tooling to enable teams to deploy on cell infrastructure.

The role involves developing, testing, and validating Generative AI agents and maintaining automated testing standards. Responsibilities include mentoring junior associates, analyzing complex issues, and applying governance controls in AI-driven solutions.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

As a Product Design Engineering Co-op, you will innovate and design consumer products by collaborating on mechanical design, prototyping, and testing, focusing on user-centered solutions.

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.

The Manager, Engineering will lead the Communication Fabric Telephony and Interconnect teams, ensuring stability, quality, and automation in network services, while managing team performance and development.

As Engineering Manager for the Guidewire PolicyCenter platform, you will lead teams, ensure platform quality, and promote agile practices while managing technical delivery and governance of policy data.

The Engineering Manager will lead a team focused on building and scaling multilingual systems for WHOOP's platforms, overseeing localization and translation processes across mobile and web applications.

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.

Lead the strategy and execution of real-world data capabilities, focusing on data lifecycle management, vendor relationships, and collaboration with various teams to deliver analysis-ready datasets.

Lead the B2B Vet Clinics software engineering organization, defining the technical vision, building high-performing teams, and driving innovation within the SaaS space, particularly for veterinary practices.

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.

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.

Lead firmware program planning and execution across WHOOP's NPI portfolio. Create integrated schedules, manage cross-functional dependencies, drive milestone planning through prototype to production, mitigate risks, support validation and manufacturing bring-up, improve processes and reporting, and communicate status to stakeholders and executives.

Design, build, and operate foundational platform services to improve availability, scalability, latency, and efficiency. Enable product teams via platform primitives (infra, databases, queuing), leverage Python, Go, AWS, Kubernetes, and Terraform, and mentor engineers to deliver resilient, scalable systems and improved developer experience.

Lead and grow a small Platform Testing team to define and execute a testing strategy that improves developer velocity and product reliability. Build cost-effective QA environments, implement service-to-service and configuration-driven testing, promote testing best practices, apply LLM-powered workflows, and partner with cross-functional stakeholders while managing hiring, coaching, and performance.

Lead and grow engineering teams that build and scale Identity Threat Detection and Response (ITDR) and Identity Security Posture Management (ISPM) products. Drive technical roadmap, adopt AI coding tools, hire and coach managers, collaborate with architecture and product, and improve engineering practices for high-volume, scalable SaaS solutions.