Top Tech Jobs & Startup Jobs in Orlando, FL

Independent-contractor ISO 9001 Lead Auditor responsible for planning and conducting third-party ISO 9001:2015 assessments, preparing audit reports, recommending certification decisions, managing client relationships, leading audit teams, and mentoring auditors while traveling extensively across the U.S.

Lead architecture and design of a next-generation centralized authentication platform, define target-state credential consolidation, guide vendor-agnostic SDK design, evaluate integrations (Transmit, Ping, passkeys), set standards for MFA/session management/federation, ensure compliance and resilience, document technical debt and ADRs, and mentor engineering teams through a multi-year modernization.

The role involves building AI-native applications and agents in a customer-embedded setting, focusing on rapid prototyping, full-stack engineering, and aligning solutions with business outcomes. It requires strong technical and communication skills for engaging with stakeholders to identify AI use cases and deliver measurable ROI.

Support media buying and account teams by managing campaign operations, monitoring daily performance, liaising with partners and vendors, sending and tracking orders, reconciling linear TV logs, and assisting client communication and reporting. Ensure campaigns run efficiently and resolve delivery or billing discrepancies while staying current on media trends.

Lead YouTube strategy for large enterprise clients, integrating the platform into marketing flows, enhancing campaigns using AI, and supporting cross-channel initiatives with a focus on measurable business outcomes.

Lead accounting and financial reporting for CIRI and affiliates. Oversee consolidated financial statements, internal controls, shared services, audits, acquisitions integration, GAAP compliance, regulatory reporting, budgeting support, system implementations, and supervise and develop the accounting team.

Own the full sales cycle to drive new business and quota attainment. Build and maintain pipeline from inbound and outbound efforts, deliver technical demos, consultatively tailor solutions, gather competitive intelligence, develop partner relationships, and help create repeatable sales processes while collaborating with product, engineering, marketing, and customer success.

Support and optimize warehouse management system (WMS) solutions by gathering requirements, mapping processes, building integrations, writing SQL for analysis, executing testing and UAT, delivering training, providing Level 2 application support, and collaborating with vendors and development teams to implement WMS enhancements that improve warehouse operations and fulfillment.

Own and operate scalable infrastructure on GCP (GKE, Cloud Run, AlloyDB); author Terraform modules; manage containerized workloads; build observability in Datadog; design CI/CD in GitHub Actions; automate operational workflows; lead incident response and post-mortems; partner with engineers to improve reliability, cost, and automation.

Lead company-wide AI adoption and build an embedded engineering and product organization to ship AI-native internal tools. Own enterprise systems (CRM, ERP, HRIS, OMS, WMS), IT operations, security, data governance, and M&A systems integration. Partner with product and data leadership, set architecture and roadmap, and build a leadership team for IT, security, and internal systems to drive measurable efficiency and adoption across Finance, Revenue, People, Legal, Support, and Operations.

Build and own a 24-month rolling financial model with bear/base/bull scenarios, integrate historicals and product/pricing plans, encode SaaS metrics and app-store economics, gather validated inputs from GTM/Product/HR, upload and maintain forecast in Fathom, produce variance analysis and investor-facing narratives, and provide ongoing monthly and quarterly model maintenance and reporting.

Design, build, and maintain scalable cloud-native data pipelines, microservices, and AI-driven orchestration. Develop Python APIs (Flask/FastAPI), implement advanced SQL transformations (BigQuery), integrate LLMs/agents for automated workflows, and collaborate with Data Science and Product to deliver production-grade, observable, and secure AI-enabled data solutions.