Top Real Estate Jobs in Boston, MA

The Manager, Corporate Accounting will oversee all aspects of corporate accounting, technical accounting issues, internal controls, financial reporting, and manage a team while collaborating with cross-functional departments.

Lead and coach the SDR team while contributing as a player-coach: prospect, build pipeline, design outbound playbooks and processes, track and report sales metrics, recruit and develop talent, and ensure effective use of Salesforce and Outreach in support of sales goals.

Design, build, and maintain full-stack features for Robin's workplace platform. Collaborate with product and design, apply AI-driven capabilities, and own code quality, performance, and scalability while improving core systems and engineering practices.

The role involves generating pipeline via outbound strategies, developing relationships, and maintaining territory visibility. Focused on business development in New England for a climate tech company.

Manage mission-critical internal projects, ensuring successful delivery through planning, financial management, team collaboration, and stakeholder communication.

Lead the architecture and development of robust data pipelines and backend services for MLS data, integrating AI solutions and ensuring data quality.

The Business Development Representative engages prospects, builds relationships, generates leads, collaborates with Account Executives, and contributes to sales growth.

Lead architecture and implementation of a new frontend platform, define org-wide frontend best practices, mentor engineers, collaborate with product/design/backend, operationalize tools and CI/CD, drive cross-team initiatives, and ensure high-performance, maintainable, and accessible frontend systems.

The VP of Finance will lead financial strategy, manage budgets, oversee accounting practices, and partner in financial growth and investment activities, while guiding the finance team and collaborating with senior leadership.

As a Senior Data Engineer, you will design and maintain scalable data models, build production data pipelines, and support analytics across various business functions.