Top Tech Jobs & Startup Jobs in Boston, MA

The Technical Account Manager manages client accounts, addressing escalations, maintaining documentation, and evaluating client technology landscape while collaborating with internal teams.

The Principal Analytics Architect will lead the design and implementation of data architecture and analytics solutions, ensuring integration and scalability, while collaborating with technical and business teams to establish best practices and drive data insights.

The PLM Solution Architect will lead technical implementation teams, facilitate workshops, develop solutions and manage large enterprise PLM software deployments with a strong focus on customer requirements and Agile methodologies.

As a Sales Associate at GNC, you'll welcome customers, help them choose products, meet sales goals, maintain store appearance, and fulfill online orders.

The Director of Cooked Perfect Brands leads growth strategy, brand management, innovation, and marketing execution for Cooked Perfect portfolio, enhancing market presence and profitability.

The Senior HR Manager leads the HR function, aligning talent strategies with business priorities, mentoring HR professionals, and overseeing HR programs while ensuring compliance and organizational effectiveness.

The Ophthalmic Assistant provides essential ophthalmic care, assisting physicians in various tests, maintaining patient records, and participating in training for certification.

The role involves full-cycle sales, developing territory strategies, managing relationships, and articulating the value of a physician-led wound care model.

Lead engineering for commercial-scale systems, ensuring cost-effective and modular designs. Oversee FOAK project delivery, integrating engineering with execution strategy and vendor management.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.