Top Tech Jobs & Startup Jobs in Pensacola, FL

The Global Accounts Director will drive new client acquisition, expand relationships with existing customers, and manage complex enterprise sales cycles, focusing on SaaS solutions for large enterprises.

The Principal of Solution Engineering leads pre-sales efforts, designs digital healthcare experiences using League's platform, and collaborates across teams to deliver AI-driven solutions while ensuring compliance with security policies.

The Senior Solution Engineer will collaborate with clients to develop scalable solutions, manage technical implementations, and enhance customer success through advanced computing technologies.

Lead performance-driven client relationships in a marketing agency, connecting client goals to strategies, managing accounts closely, and guiding internal teams for measurable outcomes.

As a Travel Support Consultant, you will assist customers with inquiries while building relationships with travel sellers and gathering feedback to enhance products.

The role involves developing scalable backend services using Python, optimizing performance, integrating AI features, and collaborating with cross-functional teams.

Design, build, and maintain scalable ELT data pipelines and models to power reporting, analytics, and operational workflows. Troubleshoot data quality and performance, participate in incident response, support CI/CD deployments, collaborate with cross-functional teams, and contribute to data platform modernization and engineering best practices.

The Senior Designer at Hook will manage and execute digital design projects, lead storytelling through motion design, and mentor junior staff while ensuring high-quality, innovative delivery on multiple client projects.

As a Principal .NET Software Engineer at Versapay, you will modernize payments infrastructure, improve scalability, design distributed services, and take ownership of payment workflows while collaborating with various teams to enhance customer experience.

Lead and scale a production-focused data science practice: define engineering standards, build reusable Python frameworks, drive end-to-end model development and monitoring, collaborate with Data Engineering/MLOps/analytics and business partners, mentor team members, and establish measurement, documentation, and prioritization disciplines to ensure models deliver business impact across Claims, Underwriting, Risk, and Distribution.