Top Tech Jobs & Startup Jobs in Boston, MA

As a Senior Software Engineer, you'll design, develop, and deploy a cancer care platform, ensuring security and compliance while collaborating closely with various teams and customers to enhance the product.

The sales specialist will engage customers to sell products, develop relationships, meet acquisition targets, and track progress using CRM systems.

As a Solutions Engineer at Darktrace, you will lead technical engagements, support sales strategies, and present cybersecurity solutions to clients.

The role involves developing and supporting delivery pipelines for Windows images, managing Linux servers, automating testing, and contributing to monitoring efforts using NewRelic.

Responsible for supporting server and desktop operating systems, virtualization, storage management, and hardware troubleshooting. Leadership and communication skills are essential.

Lead pre-sales and deployment of AI-enabled machine vision and robot-guided inspection systems. Translate customer needs into technical specs, run demos/PoCs, manage large robotics projects from concept to delivery, coordinate integrators and stakeholders, produce technical documentation and ROI analyses, and support marketing with technical content.

The Head of Logistics will lead a global logistics function, develop logistics systems, ensure compliance, build partnerships, and manage a team for efficient shipment operations.

Lead testing for a large SAP-to-Oracle Cloud ERP migration in higher education. Develop testing strategy, manage all testing phases (unit, integration, UAT, payroll, regression), coordinate cross-functional teams and vendors, manage defects and reporting, validate test coverage for modules, integrations, reports and converted data, and support business users through test execution and production readiness.

The Senior Software Developer will design and develop web and mobile applications, collaborate with scientists, implement APIs, and mentor developers.

The role encompasses providing strategic guidance on IT cost management, overseeing financial data systems, and leading change management and training efforts for Technology Business Management.

The Principal AI/ML Engineer will lead the design, implementation, and deployment of AI systems, mentor junior engineers, and ensure model performance and reliability in production environments.