Top Tech Jobs & Startup Jobs in Boston, MA

Drive sales by supporting Account Executives and Account Managers with technical positioning of Wavelytics software, ensuring customer understanding and leading sales pursuits when necessary.

The Enterprise Sales Director will lead new-logo sales and account management teams, driving pipeline growth and ensuring process excellence while mentoring and developing sales reps to exceed their goals.

The Account Executive II role at WorkWave focuses on small Lawn service businesses, managing the sales cycle, conducting demos, and exceeding sales quotas.

The Communications & Brand Strategist will execute communication strategies, create content, manage media relations, and enhance internal messaging. They will strengthen brand reputation and drive employee engagement, collaborating with teams to align marketing objectives.

The Sales Operations Analyst will analyze sales data, create reports, support forecasting, and collaborate with cross-functional teams to optimize revenue operations.

The Director of Revenue Operations will lead strategic sales operations, manage forecasting, pipeline analytics, and oversee the global operations team. This role focuses on improving operational excellence and collaborating with Sales and Finance departments.

Manage offshore finance teams responsible for accounts payable and financial transactions, ensuring compliance with accounting policies and maintaining accuracy in financial reporting.

Lead design and implementation of scalable data pipelines and ML feature flows, own data platform architecture, ensure governance and observability, optimize cloud infrastructure, mentor engineers, and collaborate with product and customer stakeholders to deliver AI-enabled data products.

The Senior Manager, Strategic Operations leads organizational transformation efforts, focusing on AI adoption, operational diagnostics, and change management to enhance business processes and interdepartmental collaboration.

The Senior Data Analytics Engineer will own the data ecosystem, manage pipelines, support AI/ML initiatives, and translate business goals into technical requirements. They will also ensure data reliability and optimize performance across analytics platforms.