Top Tech Jobs & Startup Jobs in Pensacola, FL

As a Senior Solutions Engineer, you will lead technical strategies for enterprise sales, architect API solutions, and ensure alignment between technical validation and commercial goals.

The Senior Revenue Intelligence Operations Manager drives operational efficiency and analytics in marketing for Veeam, supporting revenue goals and managing cross-functional projects to enhance field marketing effectiveness.

Own and optimize high-scale AWS Aurora/MySQL multi-tenant databases (400+ schemas). Tune queries, indexes, InnoDB internals, replica/cluster behavior, ETL pipelines, observability (Datadog, performance_schema), capacity/cost, and mentor engineers. Evaluate GenAI tooling to automate diagnostics and fleet management.

Lead Android-first development of growth experiments and features, using AI-native workflows to design, implement, instrument, and analyze A/B tests. Ship performant, reliable Android experiences at scale, mentor teammates, participate in on-call, and codify AI-native engineering playbooks for broader adoption.

Create, audit, and maintain internal and external CX content and knowledge bases (Salesforce preferred). Translate processes into user-friendly guides, manage content requests, develop team macros, and coordinate with Product, Marketing, Legal, and CX leadership to ensure accurate, consistent, brand-aligned customer support resources.

Lead the technical roadmap and hands-on development of a scalable data platform, build analytics and data access solutions, ensure data quality/governance/observability, mentor and grow a team of data engineers, collaborate cross-functionally, and evaluate new big-data technologies.

Lead post-contract partner management for strategic collaborations: own onboarding, cross-functional execution, performance tracking, renewals, and expansion. Negotiate agreements, run business reviews, surface insights to product and GTM teams, and drive measurable partner growth and retention.

Build AI-native offensive security capabilities: develop AI-assisted vulnerability discovery, exploit validation, reverse-engineering and pen-testing pipelines; design agentic workflows and eval harnesses; perform static/dynamic analysis and authorized live testing; produce reproducible technical reports and improve safety, auditability, and human-in-the-loop controls.

The Staff Data Analyst will enhance data usage for strategic decisions, architect scalable models, partner across teams on data solutions, and lead analytics engineering standards.

Design and build agentic AI-powered marketing infrastructure and automation. Architect integrations with CRM, ecommerce, and content systems, deploy production AI workflows, set technical standards, and partner cross-functionally to scale marketing operations and enable new capabilities.