Top Tech Jobs & Startup Jobs in Jacksonville, FL

Designs and sizes warehouse automation solutions using autonomous mobile robots, industrial engineering, system modeling, simulation, and layout optimization. Supports pre-sales through client discovery, proposals, presentations, demonstrations, and technical consulting. Creates architectural designs and software documentation, collaborates with sales, product, engineering, and project teams, and provides implementation support. Requires strong expertise in warehouse automation, mobile robotics, WMS/WCS integrations, industrial engineering, client engagement, and executive presentations.

Lead complex SQL-based analyses of customer, marketing, ROI, and business data. Translate findings into actionable recommendations, reports, presentations, customer QBRs, and strategic insights. Guide Business Data Analysts, establish analytical best practices, prioritize requests, automate reporting, and collaborate with Customer Success, Marketing, Product, and Operations teams.

Owns content strategy and execution for a SaaS product portfolio, including help-center content, release notes, tutorials, technical documentation, troubleshooting guidance, in-app copy, and change communications. Partners with Product, Engineering, Technical Program Management, Marketing, and Enablement to prepare launch content, close knowledge gaps, improve AI retrieval and self-service resolution, and maintain consistent terminology, taxonomy, voice, and content quality.

Lead and deliver complex cloud security design/build and managed operations engagements. Serve as primary client contact, manage full project lifecycle, risks, schedules, budgets, and cross-functional coordination. Drive process improvements, automation, compliance alignment, and executive-level reporting while mentoring team members and ensuring successful delivery against technical and compliance requirements.

Lead an eight-week current-state assessment across Operations, Order to Cash, and Procure to Pay. Facilitate stakeholder workshops, document swim lane processes, evaluate systems, controls, data flows, risks, and inefficiencies, and identify improvement opportunities. Develop prioritized recommendations, quick wins, and a process improvement roadmap with business impact, sequencing, dependencies, and implementation considerations. Communicate findings to business and leadership stakeholders.

Build and enhance financial operating models supporting planning and decision-making. Develop debt waterfalls, debt service ratios, forecasts, scenarios, sensitivities, and cash flow analyses. Evaluate financial performance, risks, and opportunities; translate complex data into recommendations and executive presentations. Partner with client stakeholders, ensure model accuracy and documentation, and support strategic and ad hoc financial analysis in a remote consulting environment.

Own and scale paid acquisition across Meta, Google, App Store Ads, YouTube, and DSPs for a global consumer subscription platform. Build incrementality testing, saturation analysis, ROAS and LTV frameworks; manage budgets, vendors, attribution, creative testing, and channel strategy. Partner with growth, social, content, and leadership teams to optimize spend around product launches, seasonal events, and viral moments.

Leads semiconductor process engineering teams supporting 300mm high-volume manufacturing. Owns tool installation, process release, capacity enablement, cost reduction, sustaining engineering, excursion response, root-cause resolution, SPC governance, and continuous improvement. Partners with manufacturing, equipment, integration, technology, yield, operations, and facilities teams while reporting operational performance to senior leadership.

Leads a cross-functional semiconductor process engineering team developing advanced analog technology. Oversees process optimization across major wafer-fabrication modules, process integration, root-cause resolution, technology transfer, and concurrent development programs. Manages workforce planning, performance, succession, and talent development while coordinating with integration, device, equipment, manufacturing, and operations teams. Communicates program status, risks, and technology readiness to site and executive leadership.

Leads a semiconductor manufacturing engineering section responsible for factory-wide defect metrology, yield improvement, excursion management, process control, and quality systems. Manages engineers and technicians, drives SPC governance and automated containment, presents performance updates to executive leadership, and champions AI-enabled manufacturing and continuous improvement across multiple wafer-fabrication technology nodes.

Lead product experimentation and analytics across three product squads. Design experiments, define product metrics, analyze patient and clinician behavior, build dashboards, apply causal inference, and communicate actionable insights. Partner with product, engineering, design, clinical, operations, and data teams to improve instrumentation, data quality, and evidence-based healthcare product decisions.

Build and deploy statistical and machine-learning models for forecasting, risk prediction, retention, no-show prediction, experimentation, causal inference, and clinical outcomes. Partner with analytics engineering and technology teams to productionize models using monitored data pipelines. Translate ambiguous clinical and operational questions into rigorous analyses, communicate recommendations to cross-functional stakeholders, and establish data science and responsible AI practices.

Own relationships with key contact center customers from implementation through ongoing use. Resolve complex technical and customer issues, coordinate with support, professional services, product, and engineering teams, meet SLA targets, and drive customer satisfaction, retention, product adoption, and referenceability. Serve as a trusted technical advisor for large, complex accounts.

Manage enterprise customer relationships throughout implementation and adoption of Cognigy’s AI and conversational AI products. Drive measurable business outcomes, retention, expansion, executive engagement, ROI, and customer advocacy. Identify needs, coordinate solutions, track success metrics, lead business reviews, develop engagement plans, create sales proposals, and collaborate with sales and technical teams to deliver long-term customer value.

Designs and delivers configurable Conga applications and enterprise Quote-to-Cash solutions. Responsibilities include Salesforce development, CLM and CPQ assessments, technical architecture, custom development, API integrations, data mapping, secure coding, code reviews, documentation, compliance, and collaboration with sales teams and customers to scope solutions and Statements of Work.