Top Engineering Jobs in Boston, MA

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.

The Director will lead specialized tax services focused on energy incentives, providing advice, mentoring leaders, and ensuring operational excellence in client engagements.

The Director will advise Private Equity investors, lead transformational initiatives, develop strategies, maintain client relationships, and mentor future leaders in the SaaS and software sectors.

As a Group Product Manager, you will lead a team of Product Managers, define product strategy for Dropbox Sign, and collaborate with cross-functional teams to enhance customer experiences with document workflows.

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

As Principal Product Manager, you will define the strategy for Upstart's pricing platform, enhancing its scalability and reliability while collaborating across teams to innovate pricing capabilities for loan products.

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.

Design and implement network security frameworks, identify vulnerabilities, manage security architecture projects, perform incident response and forensics, integrate security controls, and collaborate with clients to deliver cybersecurity solutions using cloud technologies.

Lead engineering strategy and delivery for Liberty Mutual Investments Technology, driving cloud, platform, data, and AI-enabled solutions to support investment management, trading, risk, and operations. Build and develop senior engineering teams, set standards for scalability and resiliency, manage vendor/platform decisions, ensure regulatory and cybersecurity compliance, and deliver operational excellence across global investment platforms.

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

As a CORE Quality Engineering Co-op, you'll support quality assessments, analyze consumer data, collaborate with teams, and contribute to product improvements.

Assist the Electrical Engineering team in developing and testing next-generation shark products, focusing on circuit troubleshooting, validation, and documentation.

Support the development and testing of next-gen Ninja products by assisting senior engineers, troubleshooting circuits, conducting validations, and collaborating on projects.

Lead the Adoption and Value Realization team to enhance user engagement and ensure clear value realization from AcuityMD’s platform. Responsibilities include collaborating with teams, improving engagement funnels, driving technical excellence, and mentoring engineers.

Lead a team of electrical engineers, overseeing development and optimization of electrical systems for wearable hardware while ensuring product quality and reliability.

Lead and manage a cross-functional engineering team in embedded QA, defining technical strategy and fostering a culture of innovation and development.

Lead the Order-to-Cash (O2C) technology track: own roadmap, architecture, CPQ-to-ERP integrations, SOX/ITGC controls, audit readiness, and embed AI-driven automation across finance workflows.

Lead the multi-year strategy and roadmap for Klaviyo's finance application stack (ERP, billing, procure-to-pay, record-to-report). Partner with Finance, GTS, and AI/data teams to deliver automation, SOX-compliant controls, integrations, and measurable business outcomes. Drive AI-native finance use cases, oversee platform health and governance, and represent finance systems work to senior leaders and auditors.

Lead engineering strategy and execution to build and deploy Property & Specialty lines into a Guidewire PolicyCenter cloud platform. Build and grow global engineering teams, drive cross-functional delivery with Product, Underwriting, Data, and Platform, ensure DevOps, security, and quality practices, and represent engineering in executive planning for a multi-year modernization program.

Lead and grow a Security Risk Engineering team to transform risk management into an engineering-led, real-time capability. Own the risk register, taxonomy, and financial risk quantification; build risk intelligence, automation, and AI-enabled pipelines; integrate third-party and application risk scoring; provide second-line oversight, policy custody, KPI reporting, and partnership with Legal, Audit, Finance, and engineering to reduce enterprise risk.

Design and build scalable data infrastructure and pipelines using Azure Data Factory and Databricks. Implement data integration, transformation, modeling, and optimization. Validate data quality and security, collaborate with teams and clients, and contribute to client projects while developing technical skills and personal brand.

Lead design and delivery of data infrastructure, pipelines, and scalable architectures (Snowflake, Azure Data Factory). Oversee data quality, security, and deployment, collaborate cross-functionally, and coach teams to solve complex data challenges and validate client outcomes.

Lead design and build of data infrastructure, pipelines, integration, and transformation using Azure Data Factory and Databricks. Manage teams and client accounts, mentor staff, ensure project success, optimize databases, apply security best practices, and drive data architecture and innovation to deliver actionable insights.

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 redesign of the Customer Success unified data model and AI data strategy. Build and optimize pipelines, integrations (contact center), testing/monitoring, and a documented semantic layer. Manage and mentor a small team, partner cross-functionally on KPIs, governance, and data quality, and ensure CS data is reliable for dashboards, reporting, and AI use cases.