Top Tech Jobs & Startup Jobs in Boston, MA

As a Senior UX Researcher, you'll lead user research efforts, design studies, and collaborate with teams to inform product direction and strategy.

As a Senior QA Engineer, you'll develop testing strategies for cloud software, focusing on automation, bug detection, and performance assessment.

The Account Executive II role involves developing new business relationships, increasing penetration within existing clients, and consulting on software solutions to enhance customer applications.

The Lead Model-Based Systems Engineer will utilize their expertise in Systems Engineering and MBSE to design, implement, and deploy advanced software systems that address complex defense and national security challenges.

Develop AI/ML algorithms for signals exploitation, perform modeling and simulations, and engage in project teams for innovative solutions.

The Software Engineer will develop innovative solutions using estimation theory and machine learning, collaborating on multi-disciplinary teams to support national security operations.

The Director, Project Management leads clinical trial projects, ensuring compliance with regulations and client satisfaction while fostering a high-performing team environment.

Manage a team of Project Managers overseeing clinical trial projects, ensuring compliance, quality, and client satisfaction through strong leadership and operational excellence.

As a Senior Software Engineer, you will design and develop core modules for a clinical data platform, ensuring functionality through development phases, testing, and collaboration with QA teams.

The Commercial Sales Manager will lead a team, develop account strategies, manage sales forecasts, and drive revenue growth for Rapid7.

As a Principal Healthcare Cloud Engineer, you will architect cloud-based solutions for healthcare, automate deployments, mentor teams, and innovate technology practices.

Technical Trainers at InterSystems instruct customers on database and interoperability technologies and deliver training solutions worldwide, working collaboratively to design courses and improve learning materials.

The People Advisor manages day-to-day casework related to employee relations, ensuring compliance, documentation accuracy, and timely progression of cases while supporting managers.

The People Advisor will manage employee relations cases, ensuring compliance and documentation. Responsibilities include case management, support for managers, and data insights for performance issues.

This role supports employee experience and internal communications, coordinating events, managing office logistics, and enhancing organizational communication practices.

The Recruiting Coordinator will manage interview schedules, support onboarding, maintain ATS data accuracy, and enhance candidate experience. They will assist in various recruiting tasks and ensure smooth operations for the recruiting team.

The VP of Communications at WHOOP will lead global communications strategy, oversee PR and internal communications, manage crisis situations, and mentor a communications team. This role requires strong storytelling, collaboration, and experience in high-growth brands, particularly in AI and healthcare.

Lead capital planning and execution for manufacturing infrastructure by managing cross-functional teams and overseeing the entire CapEx lifecycle.

Design and implement backend systems for business operations at WHOOP, ensuring reliability, performance, and scalability. Collaborate with stakeholders and mentor engineers.

The Associate Principal will translate client needs into analytical specifications, ensure quality control of analytical outputs, and deliver clear insights while overseeing methodologies and clinical context research.

The Lead Customer Engagement Manager will oversee customer outcomes, driving adoption and retention by guiding life sciences clients in using healthcare data analytics for their business needs.

The Vice President/Head of AI will define and execute the AI strategy, oversee R&D for AI/ML models, integrate AI capabilities across products, and lead a high-performing AI team, ensuring ethical standards and compliance.