Top Tech Jobs & Startup Jobs in Boston, MA

Lead a client experience team, utilizing AI and technology to enhance service quality while maintaining personal interaction. Manage metrics, coach talent, and optimize support operations.

The Booking Specialist will research and book travel for clients, balancing budgets and catering trips to individual preferences while maintaining communication throughout the process.

As Head of Sales at Sybill, lead revenue growth in mid-market and enterprise segments, manage the sales funnel, optimize strategy, and collaborate across teams.

As an Account Executive, you will manage the sales cycle, engage with customers to uncover needs, and close impactful deals, while enhancing marketplace growth.

Lead deployment and scaling of Phaidra's AI-driven control solutions for data centers and industrial facilities. Model facilities, configure and commission products, triage and support deployed systems, translate customer needs into product requirements, and act as a technical SME for customers and internal teams. Coordinate cross-functional delivery, mentor peers, and contribute to product and sales initiatives. Role may include up to 25% travel.

Lead development of a core platform area: collect stakeholder requirements, design architecture and APIs, implement features, ensure quality (tests, docs), and coordinate cross-team work.

The Sr. Customer Success Manager is responsible for ensuring customer satisfaction through relationship management, operational oversight, and driving financial growth in pharmacy services.

Analyze acquisition, disposition, redevelopment, and capital investment opportunities through underwriting and financial modeling. Monitor property performance, leasing, tenant sales, and market trends to inform portfolio strategy. Support transactions, due diligence, asset onboarding, reporting, dashboards, and executive materials to drive investment decisions and optimize assets.

The Backend Engineer will architect and optimize execution and matching infrastructure for low-latency trading systems, focusing on performance with a strong systems background.

Lead the development of analytics infrastructure for clinical AI/ML products, focusing on product performance monitoring, data management, and cross-functional collaboration.