Top Tech Jobs & Startup Jobs in Boston, MA

Lead end-to-end delivery of technical training programs, managing scope, resources, budgets, and client relationships across single classes to multi-technology academies. Coordinate with sales, instructors, and operations, run regular check-ins and business reviews, drive continuous improvement, and ensure scalable, high-quality learning experiences from pre-sale through post-delivery evaluation.

Manage a portfolio of enterprise customers to drive adoption, retention, renewals and expansion. Own lifecycle from onboarding to renewal, use data and internal tools to measure health and utilization, take corrective actions, forecast risk and growth, and build trusted advisor relationships with senior technology leaders.

As a Product Manager, you'll lead the development of content tools, enhance user engagement, and manage systems for content organization and accessibility.

The Product Manager focuses on enhancing user engagement through onboarding, analytics, and cross-channel communications while collaborating with various teams to drive lifecycle improvements.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Product Manager oversees the development of native mobile applications, ensuring an optimized user experience while coordinating cross-functional teams to enhance product features and performance.

Partner with the CPO to translate strategy into operating action, drive cross-functional execution, manage high-priority special projects, run product management rhythms, surface risks and dependencies, improve meeting and escalation discipline, and represent the CPO in internal forums to ensure alignment and delivery during reorganization.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

The Enterprise Account Executive will manage revenue retention and expansion, oversee the sales cycle, build client relationships, and develop strategies for customer success.

Lead end-to-end data science projects, develop machine learning models, collaborate with stakeholders, mentor team members, and communicate insights effectively.