Top Tech Jobs & Startup Jobs in Boston, MA

The Relationship Manager will engage small and mid-sized businesses, utilizing consultative selling to identify and optimize product offerings while building long-term customer relationships. Responsibilities include cold-calling, needs analysis, and driving new business.

As a Sr Associate in Product Management, you will focus on developing innovative customer experiences, breaking down business requirements into features, and collaborating with tech teams to drive product success.

The role involves leading product management functions, innovating customer experiences, solving complex problems, and driving team alignment around strategic goals.

The Senior Platform Engineer will develop solutions in Workday, focusing on HCM, Payroll, and Benefits. Responsibilities include collaborating with stakeholders, delivering high-quality solutions, providing production support, and continually improving processes.

The Senior Lead AI Engineer will develop, optimize, and support AI products, collaborating with teams to implement machine learning solutions transforming customer interactions at Capital One.

The Lead AI Engineer will design, develop, and support AI software components, leveraging various AI technologies to enhance banking services. The role involves partnering with cross-functional teams to deliver AI-powered products and optimize large-scale production AI systems.

The role involves driving strategic AI research and development, partnering with cross-functional teams to create AI-powered products, and leading applied science efforts in banking applications.

The Senior Lead AI Engineer will develop, test, and support AI software, design new models, and enhance AI product offerings at Capital One while collaborating across teams.

The Senior Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and enhance banking experiences through AI systems.

As a Distinguished Data Engineer, you will lead the technical strategy for data pipelines, driving innovation and best engineering practices while mentoring internal teams and influencing stakeholders across the enterprise.