Top Tech Jobs & Startup Jobs in Baltimore, MD

The Regional Vice President of Employer Sales drives new business within the enterprise employer market, managing full-cycle sales from prospecting to closing while leading strategic client relationships.

Data Analyst role involves partnering across teams to develop analytical solutions, building dashboards, and managing analytics projects end-to-end, with 7+ years of experience required.

The Regional Sales Manager will lead consultative sales efforts, build relationships in the fleet management industry, and drive new account growth across assigned territories.

The role involves designing and executing clinical trials, ensuring compliance with regulations, overseeing study management, and providing scientific input for pulmonary disease therapies.

The Senior Data Engineer will design, construct, test, and maintain architectures including databases and large-scale processing systems.

The VP of Technology leads strategic technology initiatives, manages a technology team, oversees vendor relations, and ensures project execution and compliance with regulations.

The Account Manager will oversee daily operations for Government Agency clients, ensuring satisfaction, managing logistics, and expanding service offerings to meet client needs effectively.

The Enterprise Account Executive is responsible for managing the full prospect lifecycle, targeting enterprise accounts, and driving new business by effectively executing the sales cycle with C-level stakeholders.

The Scaled Customer Success Manager will enhance customer success for SMB and Mid-Market clients by managing onboarding, engagement, and product adoption, while also identifying upsell opportunities.

Responsible for channel sales pipeline and revenue, nurturing partnerships, crafting business proposals, and collaborating with account executives to close deals.

The Regional Vice President of Business Development is responsible for acquiring new customers in the healthcare sector, developing relationships, and driving revenue growth.

Design and implement REST APIs and backend services, optimize performance, and ensure system reliability while working with cross-functional teams.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

The Principal Data Scientist will design, develop, and deploy machine learning models, innovating methodologies and collaborating across teams to enhance financial decision-making and risk management.