Top Tech Jobs & Startup Jobs in Charlotte, NC

Own Cleo’s application and product security program across SaaS and customer-hosted products. Lead SSDLC practices, threat modeling, security tooling, vulnerability management, penetration testing, coordinated disclosure, CVE publication, and NIST CSF controls. Define product security standards, roadmap, secure defaults, access controls, and customer-facing advisories. Partner with engineering, product, architecture, and customers while guiding security engineers and consultants. Also establish protections for LLM applications, AI agents, and AI-assisted development workflows.

Manage customer-facing technology implementation projects from kickoff through closure, owning scope, schedule, budget, quality, risks, and delivery outcomes. Coordinate customers, executives, implementation engineers, and cross-functional teams across multiple concurrent projects. Lead planning, status communication, forecasting, resource management, and budget tracking. Apply and help develop AI-enabled PMO workflows, while communicating the value of cloud-based B2B integration solutions. Travel approximately 15% for customer visits, partner meetings, events, and team planning.

Leads technical pre-sales for supply chain integration solutions, partnering with Sales to conduct discovery, design ERP/WMS/TMS and trading-partner architectures, run POCs, deliver demonstrations, and respond to RFPs. Advises technical and executive stakeholders on business outcomes and AI opportunities, translates capabilities into measurable ROI, and collaborates with Product, Customer Success, and Professional Services on roadmap feedback and post-sale handoffs.

Own the strategy, roadmap, discovery, development, launch, and adoption of a supply chain orchestration product. Translate customer workflow gaps into scalable capabilities across ERP, WMS, TMS, EDI, APIs, and trading partner systems. Partner with engineering, UX, architecture, data science, sales, and customer teams to make prioritization and technical decisions. Identify and evaluate AI use cases, measure business outcomes, and present product decisions and results to executives.