Top Tech Jobs & Startup Jobs in Tampa Bay, FL

Lead IT operations, enterprise applications, and infrastructure. Manage Google Workspace, Microsoft 365, HubSpot, Hootsuite, cloud environments (AWS/Azure/GCP), device lifecycle, monitoring, backup and disaster recovery. Oversee IT support, onboarding, incident response, vendor relationships, and IT team development while collaborating with business leaders to ensure reliable, scalable technology and service delivery.

Lead client delivery for AI-driven marketing transformation: run discovery, build scopes and roadmaps, coordinate teams, track timelines/budget/risks, provide status reporting, and ensure measurable outcomes.

Develop and execute targeted sourcing strategies to identify and engage technical talent across multiple engineering domains; build and maintain candidate pipelines; conduct initial screens and assessments; collaborate with recruiters and hiring managers; maintain ATS data integrity and track sourcing metrics to optimize processes.

Lead organizational change for finance transformation initiatives: develop change strategies, stakeholder assessments, communications, training, adoption metrics, readiness dashboards, and playbooks while partnering with Finance, IT, HR, and executives to drive adoption and measurable outcomes.

Lead global finance transformation programs end-to-end: design future operating models, implement ERP/automation/AI initiatives, manage program delivery, drive organizational change, and develop high-performing teams to realize measurable finance improvements.

Lead end-to-end delivery of large-scale workplace projects across assigned regions. Manage multiple concurrent projects, budgets, vendors, and cross-functional stakeholders. Ensure adherence to design standards, sustainability, compliance, and company objectives while providing status updates and recommendations to senior leadership.

Design, implement, test, document, and maintain software applications. Write clean, scalable code, use version control, collaborate with stakeholders, and manage databases and Agile workflows.

Provide high-level administrative support to senior executives by managing calendars, communications, travel, documentation, and events. Prepare briefing materials, coordinate projects, maintain confidential files, and support special projects to ensure smooth executive operations.

Provide front-line support via phone, email, and chat: answer inquiries, resolve issues, document interactions, escalate when needed, assist with accounts/orders, and meet performance targets while maintaining professionalism.

Identify and prioritize endpoint and identity exposure risks (EDR, AD/Entra, PAM, MFA), map attacker paths, produce remediation plans, validate fixes, and partner with IAM and endpoint teams to reduce exploitability and improve posture.

Design and implement AI-powered data pipelines and LLM-based mapping to parse, normalize, and validate structured and unstructured data. Build mapping logic, ingestion templates, and load-ready outputs; integrate ML/AI solutions with enterprise systems (APIs, databases, Azure); validate accuracy with stakeholders; document for scalability and production readiness while reducing manual mapping and improving data quality.

Hands-on platform engineering lead supporting platform modernization, API integrations, Azure migrations, DevOps readiness, data migration (PHI/PII aware), risk identification, and technical documentation while coordinating cross-functional teams.

Lead QA strategy and execution for Infrastructure QE: plan and run manual and automated testing, drive automation adoption, manage priorities and risks, communicate status to stakeholders, hire and develop the team, and coordinate cross-functionally and with vendors to ensure high-quality product launches.

Responsible for fine-tuning state-of-the-art LLMs, optimizing models for deployment, and driving AI architectural decisions. Collaborate with cross-functional teams to develop impactful AI products.

Lead process ideation and effectiveness strategy, drive cross-functional collaboration, champion data-driven decision making, and optimize operations while implementing continuous improvement initiatives.

Lead credit risk analytics for credit card and personal loan portfolios: develop ML-driven credit strategies, monitor portfolio performance, run A/B tests, forecast credit losses and stress tests, ensure regulatory compliance, and partner across Product, Engineering, Legal and Marketing.

Work across the full stack on Higharcs Estimate product: optimize queries, build React UI components and frontend state, write e2e tests, integrate external APIs, and occasionally work with CAD/geometry. Own projects end-to-end, maintain code quality through tests and reviews, and collaborate cross-functionally to deliver high-impact features.

Lead post-sale enablement experience, develop training programs, manage support teams, advocate for customer feedback, and ensure alignment with business strategy.

The Director of Business Development will lead efforts to enter the LBM dealer market, focusing on closing anchor deals and contributing to go-to-market strategy and product direction while representing the company at industry events.

Lead customer-facing data engineering and warehousing initiatives on the Databricks platform. Architect and optimize production-scale ETL/ELT pipelines, performance-test workloads, migrate legacy systems to cloud lakehouse architectures, support Solution Architects in technical sales, and provide training, demos, and community contributions.

Lead a global team managing Databricks' Managed Gold Systems Integrator portfolio. Define and execute portfolio strategy, drive joint revenue and adoption, engage C-suite, build partner capability, manage joint business plans, and run go-to-market campaigns to scale strategic SI relationships.

Lead strategic ISV partnerships for Business Applications (CRM, HCM, Finance, ERP). Build joint GTM and product plans, drive integrations with engineering and product, enable field readiness, and influence roadmap across Product, Sales, and Marketing to scale Databricks as the preferred platform for business-application workloads.

Design, build, and evaluate machine learning models and scoring systems to detect fraud and scams across voice and IVR. Analyze fraud patterns, support investigations, productionize research with engineering, improve identity signals, and maintain reproducible research and evaluation pipelines.

Conduct research and develop algorithms for real-time video processing and deepfake detection, translating machine learning models for production use.

Lead and scale engineering teams building Protect, a real-time multi-signal fraud detection platform. Set technical strategy, develop managers and senior engineers, deliver distributed systems and APIs, improve architecture, observability, reliability, and developer productivity while partnering with Product, Research, Security, and exec stakeholders.