Top Remote Entry Level Jobs in Tampa Bay, FL

Sources and pitches influencer partnerships, manages outreach through direct messages and email, negotiates deal terms, tracks campaign performance, builds relationships with creators and talent managers, and contributes to booking and revenue targets. The role requires quota-focused sales ability, strong communication and negotiation skills, organization, confidence discussing budgets, and ownership of multiple partnership deals.

Lead and support strategic SaaS sales opportunities, particularly for Beefree SDK, while coaching sales representatives and improving sales playbooks, qualification, demos, forecasting, pipeline management, and deal execution. Partner with Product, Marketing, and Operations to sharpen messaging, identify high-intent accounts, improve campaign handoffs, and use CRM data and win-loss insights to scale a repeatable sales motion. This is a hands-on leadership role requiring continued involvement in complex technical and developer-led deals.

Lead BEC Legal Systems with full P&L ownership, setting strategy and driving profitable growth. Oversee cross-functional teams across product, sales, marketing, support, and operations while improving customer retention, operational scalability, and market position. The President will manage recurring-revenue performance, talent development, stakeholder communication, and potential mergers and integrations within the Legal Tech business.

Produces user manuals, how-to guides, reference materials, and other documentation for technical and non-technical audiences. Collaborates with developers, quality engineers, project managers, and subject matter experts to gather information and ensure accuracy. Reviews and updates existing content, researches complex technical topics, and creates clear, user-friendly documentation. The role is fully remote and requires an IT-II clearance or previous T3 background investigation.

Drive enterprise sales for NiCE Cognigy’s AI platform across the U.S. market. Build pipeline, generate ARR, manage direct and partner-led sales cycles, develop account plans, coordinate RFP/RFI responses, and close complex enterprise deals. The role requires engaging senior executives, communicating deal structures and ROI, collaborating with internal teams and channel partners, and representing Cognigy at industry events.

Own Riverside’s product education strategy and independently create polished videos from scripting through final editing. Serve as the on-camera face of the company, produce YouTube tutorials and product demos, and build Riverside University into a comprehensive learning hub. Collaborate with Product, Marketing, Design, and Social teams, communicate new features, incorporate user feedback into product development, and use content strategy to drive growth.

The posting provides no defined responsibilities or qualifications. It states that media inquiries and potential public engagement will be considered individually based on context, relevance, and timing.

Source, recruit, and onboard high-performing real estate agents, luxury specialists, and teams across Florida. Build executive-level talent pipelines, develop personalized recruiting strategies, analyze market and competitive trends, nurture industry relationships, and support market expansion. Manage recruiting metrics, forecasts, CRM data, compliance, campaigns, networking events, and cross-functional partnerships while representing SERHANT. within the real estate community.

Leads and mentors Product Managers and Product Analysts across GRC products, setting product vision, strategy, and roadmap priorities. Oversees customer research, competitive analysis, AI adoption throughout the SDLC, experimentation, KPI measurement, and cross-functional product delivery. The role advocates for customers, ensures alignment across roadmaps, promotes innovation, and manages team development and performance evaluations.

Develops and deploys machine learning systems for high-stakes decisions in pricing, claims, underwriting, and predictive health. Responsibilities span problem framing, quantitative research, experimentation, causal inference, predictive modeling, multimodal and foundation model development, agent systems, production deployment, and ongoing iteration. The role requires strong mathematical and statistical foundations, Python fluency, and expertise in machine learning, statistics, econometrics, or causal inference.