Top Tech Jobs & Startup Jobs in Charlotte, NC

Individual contributor responsible for strengthening fraud risk management through market monitoring, control innovation, technology evaluation (including AI/automation), process improvement, vendor and product assessments, cross-functional partnership, governance support, and delivering actionable recommendations and oversight.

Lead and develop a team of Relationship Managers serving ultra-high net worth clients. Hire, coach, evaluate, and set performance standards; drive client loyalty, retention, and growth; model book-of-business strategies; resolve complex client issues; collaborate across functions to implement solutions; and participate in special projects to improve processes and outcomes.

Lead and grow a team delivering advanced analytics for mobile products using experimentation, causal ML, and predictive modeling. Translate ambiguous business problems into analytical roadmaps, ensure reproducible technical standards, communicate insights to senior stakeholders, set analytics OKRs, and operationalize recurring needs to maximize business impact.

Lead and develop a software engineering team delivering scalable advice platforms, full‑stack systems, and AI experiments. Own team outcomes, guide architecture and technical decisions, enforce engineering quality, mentor engineers, collaborate with product and stakeholders, and drive continuous improvement.

The role involves designing, engineering, and supporting CMDB functionalities within ServiceNow, enhancing platform reliability, and collaborating with various teams for effective implementations.

The role involves administering CMDB data, ensuring governance compliance, developing reports, collaborating on platform processes, and supporting AI-related governance initiatives.

Provide independent, second-line technology risk oversight for business-aligned IT teams. Advise on architecture and delivery, conduct risk assessments, monitor emerging threats, strengthen controls and third-party/AI risk practices, and influence risk strategy and senior leaders.

Lead platform development, maintenance, and support across enterprise systems. Manage and develop technical teams, resolve complex platform issues, implement infrastructure projects, set technical standards, oversee vendor products, and collaborate with stakeholders to ensure effective technology deployment and continuous service improvement.

Partner with business stakeholders to identify high-value AI use cases and deliver agentic AI and LLM solutions. Architect multi-agent and tool-augmented LLM systems, ensure scalability, security, explainability, and governance. Collaborate with engineering to deploy production-grade solutions, implement evaluation/monitoring and guardrails, and act as an enterprise AI advisor while mentoring peers and contributing AI best practices.

Lead and grow a global DDI/platform team managing DNS, DHCP, IPAM, and global traffic management (Akamai GTM). Oversee design, implementation, automation, vendor relationships, incident escalation, compliance with IT/security policies, disaster recovery, and integrations with network, cloud, application, and security teams.