Top Remote Jobs in Tampa Bay, FL

Execute, monitor, and optimize high-velocity social and digital ad campaigns across major platforms. Support campaign setup, reporting, and performance analysis using Salesforce, DSPs, and internal tools. Collaborate with cross-functional teams, present insights, and use Excel/Google Suite to manipulate data and improve media spend efficiency.

Senior technical owner for enterprise support: reproduce and resolve complex issues end-to-end, define SLAs/severity/escalation, hand off clear tickets to engineering, build KB and onboarding, and synthesize product feedback.

Design, improve, and deploy production-grade computer vision systems for sports video: detection, multi-object tracking, camera calibration, homography, field registration, identity association, and robustness across varied cameras and video quality. Lead experiments, adapt models to new domains, collaborate with data and engineering teams, and drive end-to-end solutions from prototype to production.

Manage customer onboarding relationships, configure the platform, set up integrations, train users, escalate technical issues, use AI tools to improve efficiency, and drive adoption for long-term customer success.

Manage end-to-end onboarding for multiple SDR cohorts, create and deliver structured playbooks and trainings, optimize SDR tech stack usage, run enablement projects and workshops, measure ramp performance using data and iterate to improve outcomes. Partner with SDR leadership, Marketing, and Operations to accelerate ramp time and drive pipeline generation.

Lead a squad's technical vision and execution as a senior individual contributor. Make major technical decisions, mentor engineers, improve code quality through reviews, and communicate with product and stakeholders.

The Senior Analyst of People Analytics will manage Visier platform, support data pipelines, validate data accuracy, and develop self-service dashboards ensuring analytical integrity across employee lifecycle processes.

Lead advanced security operations: escalate and resolve complex incidents, improve SIEM/EDR detection and automation, perform threat hunting and log analysis, mentor junior engineers, maintain runbooks, and support compliance and incident readiness exercises.

Support and maintain on-premises and cloud infrastructure (Azure, Microsoft 365, Windows Server). Monitor performance, troubleshoot incidents, manage user accounts and network settings (DNS, IP, routing), recommend upgrades, document standards, assist Level I engineers, and drive security and operational improvements.

Lead end-to-end product design for a B2B SaaS financial data platform, creating and validating AI-enabled workflows through research, prototyping, testing, and cross-functional collaboration. Define AI behavior, UX for trust and correction, contribute to design systems, and partner with Product and Engineering to influence roadmap and ship features.

Full-cycle inside sales role focusing on prospecting, qualifying, and closing software deals. Build trusted relationships, demo Alteryx, grow pipeline via outbound/inbound outreach, manage forecasts, and collaborate on account strategies to drive revenue and expansions.

Generate qualified sales opportunities via inbound leads and targeted outbound prospecting. Work with Account Executives to uncover new business, manage small deals and renewals, perform account mapping, develop prospecting strategies, and maintain high-volume outreach (50+ dials/day). Communicate business value of Alteryx to executives and line-of-business stakeholders to drive pipeline and lead conversion.

Lead development of AI-assisted product design tooling and agentic systems. Build reusable AI infrastructure, prototypes, and design-system patterns; drive adoption across Product, Design, and Engineering; mentor teams and establish responsible AI practices to scale AI-enabled product development.

The Principal Applied AI Engineer will lead the design of AI systems for finance, focusing on predictive modeling, intelligent automation, and software engineering best practices. They will oversee AI initiatives, mentor technical teams, and ensure compliance with financial standards and practices.

Lead design, build, and scaling of Agentic AI and industry-specific solution accelerators on Genesys Cloud. Develop reusable multi-agent workflows, RAG-based knowledge orchestration, integrations with enterprise systems, prototypes, and production-grade AI applications. Provide technical leadership, mentor engineers, collaborate with product and industry SMEs, and deliver repeatable solution blueprints to accelerate deployment and time-to-value.

The role involves improving tax processes using technology, managing financial reporting, training, and compliance data analysis, while also fostering teamwork.