Top Tech Jobs & Startup Jobs in Tampa Bay, FL

Owner of end-to-end client relationships and new business origination for RIAs; manage pipeline and CRM, drive product adoption, share client feedback cross-functionally, develop growth strategies, and travel to clients and conferences (under 50%).

Pre-sales SAP technical consultant supporting late-stage sales: advise on SAP (S/4HANA, ECC) integrations, design/validate integration workflows, map financial data to SAP structures, demonstrate integration requirements, deliver POCs, and relay product gaps to engineering.

Deliver live and virtual partner training using established materials, contribute to instructional content and self-paced assets, support cross-functional partners, build product knowledge of Ellevation's ELD solution, and travel to deliver in-person training. Focus on improving partner adoption, satisfaction, and retention through high-quality facilitation and continuous improvement.

Partner with customers to analyze industry-specific business needs and implement M-Files document and knowledge management solutions. Lead small-to-mid implementations, define requirements, integrate with existing systems, provide training, support pre-sales, advise on automation and compliance, and ensure customer satisfaction across targeted verticals.

Own end-to-end enterprise sales to top US banks: build relationships, conduct discovery, craft solutions, manage multi-threaded sales cycles, lead negotiations, and close deals while collaborating cross-functionally.

The VP of Finance will lead financial strategy, oversee budgeting and forecasting, manage investor communications, and shape company direction in the AI market while supporting cross-functional teams.

The Account Manager will oversee relationships with corporate legal clients, driving revenue retention and expansion by identifying opportunities and guiding product adoption.

The Product Information Management Specialist maintains and enhances the product catalog for efficiency, accuracy, and cost savings, involving data management, vendor research, and collaboration across teams.

Design, deploy, and govern enterprise-scale data architectures and platforms to support analytics and AI. Define modeling standards, integration pipelines, data quality, lineage, and security. Lead technical direction, mentor engineers, evaluate AI tooling, and support proofs of concept and solution roadmaps that enable generative AI and RAG solutions.

The Product Manager will oversee product development, manage project timelines, collaborate with teams, ensure data integration, and communicate technical needs effectively.