Top Hybrid Jobs in Boston, MA

Manage a team of solutions engineers to design and deploy Autonomous Mobile Robot systems in manufacturing. Collaborate with customers, oversee technical proposals, ensure process improvements, and maintain customer satisfaction.

The Senior Legal Counsel provides strategic legal support across Britebound, overseeing corporate matters in nonprofit law, governance, compliance, and intellectual property, while advising leadership and managing contracts.

The Senior Data Modeler I collaborates with teams to develop clinical data models, ensuring data integration and quality while maintaining knowledge bases for clinical concepts and monitoring performance.

As a Project Manager, lead and manage project teams in delivering high-quality SaaS solutions, ensuring alignment with company objectives and stakeholder expectations through effective communication and collaboration.

Lead end-to-end implementations of Arcadia's platform: develop project plans, manage data integration (EHR/claims), coordinate teams and third parties, escalate and resolve risks, validate and train customers, and drive go-live and process improvements to ensure customer value and retention.

Lead Nexthink's Total Rewards function, manage HRIS, oversee Workday implementation, and drive AI adoption in HR operations.

The Customer Success Manager builds strong relationships with clients, engages proactively, provides onboarding and training, resolves technical issues, and analyzes customer health metrics to enhance platform usage.

The Business Development Representative will manage sales opportunities, conduct prospecting calls, deliver product demos, and collaborate with teams to refine sales strategies.

This role involves using investment banking expertise to develop generative AI tools for financial modeling and transaction analysis, including valuation, financial modeling, and reviewing AI-generated outputs for accuracy.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.