Top Engineering Jobs in Boston, MA

The End-to-End Systems Lead oversees the full technical lifecycle of systems, ensuring user requirements are met through quality system delivery and integration across multiple teams.

Lead the IT function at WHOOP, building a high-performing team to enhance employee experience, security, and operational efficiency while implementing innovative technologies.

The Senior Materials Program Manager will oversee material readiness across product lifecycles, coordinate with hardware and supply teams to ensure timely material supply, and mitigate supply risks.

Lead a team to design and operate scalable Databricks/lakehouse platforms, ETL/ELT pipelines, data models, BI dashboards, and productionized ML. Ensure data quality, governance, and deliver actionable analytics and KPIs to drive business decisions while mentoring engineers, scientists, and analysts.

Lead the Core Platform organization for a cloud-native Unified Factory Platform, owning long-term architecture, scalability, reliability, security, data architecture, and team development. Hire and coach engineering leaders, set platform standards (APIs, observability, automation), drive SLAs and KPIs, and align roadmap with product, hardware, and executive stakeholders for global SaaS deployments.

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 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 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 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.

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.

Lead and grow an AI engineering organization building foundation-model training and LLM-powered production systems. Own design, deployment, optimization, evaluation, governance, and observability of scalable AI platforms; make build-vs-buy decisions across open source and SaaS AI technologies; drive technical vision and mentor engineering teams to deliver responsible, high-performance AI capabilities.

Lead and grow data engineering and analytics platforms, driving Snowflake and Databricks implementations, AI/GenAI initiatives, and delivery of AI-powered data agents. Build and scale engineering teams, partner cross-functionally to align data strategy with business needs, ensure platform reliability, and own delivery outcomes, budgeting, and vendor/offshore strategies.

Lead design and implementation of OT/ICS cybersecurity solutions for industrial clients. Manage engagements and teams, mentor staff, assess risks and compliance, conduct OT security maturity assessments, manage vendor evaluations, and drive continuous improvement and innovation to protect critical infrastructure.

Lead and manage teams delivering enterprise software for Tax clients: plan, budget, build, integrate, and deploy API-driven, microservices-based applications using CI/CD, Python and JavaScript. Mentor staff, manage client relationships, ensure quality, and drive adoption of innovative engineering practices.

Lead and manage forward-deployed software engineering teams to design, code, test, and deploy scalable enterprise applications. Drive CI/CD, API management, architecture decisions, client engagement, and team coaching while ensuring alignment with business objectives and continuous improvement.

Lead AI-driven cybersecurity strategy and engineering engagements: design and architect AI-enabled cyber solutions, build agentic automations, develop AI-powered threat models, implement enterprise cyber risk governance, manage teams, and advise senior clients on transformation and risk-compliance.

Design, code, test, and deploy enterprise applications for Tax clients. Collaborate with clients and teams to gather requirements, implement APIs and integrations, perform code reviews, CI/CD, testing, and troubleshoot to deliver scalable, high-quality software solutions.

Lead AI engineering teams to design, develop, and deploy scalable, cloud-native machine learning and AI solutions. Manage client relationships, mentor staff, ensure quality, and drive adoption of modern tools and practices (Docker, Kubernetes, CI/CD, vector DBs, LangChain, cloud platforms).

Lead and manage teams to design, code, test, and deliver software solutions for tax clients. Translate stakeholder needs into technical specifications, conduct code reviews, troubleshoot complex issues, mentor staff, and maintain client relationships while promoting innovation and systems thinking.

Design, build, test, and maintain scalable applications using Java, Python, and JavaScript. Implement APIs and microservices, apply OOD, CI/CD, perform code reviews, translate business requirements into software, debug systems, and collaborate with cross-functional teams while mentoring junior engineers.

Lead AI-native solution architecture and end-to-end technology delivery, develop product roadmaps and technology strategies, collaborate with cross-functional teams, mentor leaders, identify market opportunities, and ensure quality, integration, and successful implementation of AI-driven software solutions for clients.

Lead design and delivery of data engineering and software solutions for PwC Tax practice. Oversee application architecture, API management, CI/CD, data integrity, client engagements, mentoring, and business development across multiple projects to drive digital transformation and growth.

Lead design, development, and deployment of data and software solutions within the Tax practice. Manage client relationships, coach and mentor team members, enforce coding standards, implement CI/CD, integrate enterprise applications, perform code reviews, and ensure successful project planning, budgeting, execution, and delivery.

Lead design, build, and operation of scalable, secure AI-powered platforms; manage and mentor cloud and platform engineering teams; deliver conversational bots and integrate Azure Cognitive Services; ensure reliability, security, automated testing, and cross-functional collaboration to translate People Tech & AI use cases into production solutions.

Lead and manage end-to-end software engineering programs: plan, budget, execute, and deliver enterprise applications. Coach and mentor teams, enforce coding and quality standards, drive CI/CD and ATDD practices, collaborate with stakeholders, and apply AI and emerging technologies to improve processes and outcomes.