Top Tech Jobs & Startup Jobs in Tampa Bay, FL

Data Meaning is looking for talented individuals to join their remote workforce, offering consulting services in Business Intelligence, Data Warehousing, and Project Management.

The VP of Customer and Revenue Operations will lead operations across the customer lifecycle, optimizing processes, and managing a high-performing RevOps team. Responsibilities include strategic planning, forecasting, and analytics, emphasizing operational efficiency and customer journey enhancement. This role requires strong leadership skills and extensive experience in Revenue Operations within high-growth B2B SaaS environments.

As Senior Corporate Counsel, you will lead corporate governance, manage M&A transactions, guide international expansion, and advise on tax and HR matters.

The Full Stack Software Engineer will develop, innovate, and maintain features for a SaaS platform using technologies like React and Python, contributing to a collaborative team to enhance product performance.

The Senior Associate Scientist will analyze and visualize data, collaborate on screening strategies, and validate hits for drug discovery using the EMMI platform.

The Social Freelancer will manage and post content on Complex's social media, supporting sports coverage and creating engaging editorial features to drive brand visibility.

The Senior Business Process Analyst will map workflows, document processes, identify automation opportunities, and liaise with stakeholders to improve revenue operations.

The Actuary will analyze ratemaking and customer data, lead regulatory filings, build models with GLM and machine learning, automate workflows with Python, and collaborate cross-functionally on product development in a remote environment.

The Account Executive will drive sales for Mid Market clients by identifying leads, managing relationships, conducting negotiations, and collaborating with internal teams to meet client needs and achieve sales targets.

The Senior Analytics Engineer will create scalable data systems, ensure data quality, support cross-functional teams, and communicate insights effectively.