Top Tech Jobs & Startup Jobs in Charlotte, NC

Own the roadmap for AI-native technical support and TAC capabilities. Design pre-case intake, support case lifecycle governance, classification, assignment, resolution, entitlement accuracy, and autonomous agent workflows. Partner with Product, Engineering, and Support leaders to define domain events, confidence rules, escalation policies, and automation governance. Drive support deflection, self-service resolution, operational efficiency, and Professional Services pipeline conversion.

Leads talent intelligence strategy by governing external labor-market data, synthesizing multi-source analytics into executive narratives, defining reporting and AI use cases, and partnering with analytics engineering on Snowflake models. Champions talent intelligence platforms, trains recruiting teams, develops sourcing playbooks and market briefings, and advises leaders on competitor talent, skills, compensation, attrition, location, and hiring strategies.

Owns the go-to-market operations enablement roadmap for campaign execution, tagging, metadata, and lead management. Develops process guidance, training, workflows, documentation, and self-service tools; resolves operational issues; analyzes marketing data; and recommends improvements to campaign velocity, lead quality, compliance, and data governance. Partners with Marketing Operations leaders and cross-functional teams to support recurring workflows, automation, operational reviews, and leadership reporting.

Provide production support for enterprise AI capabilities, including generative AI assistants, conversational agents, RAG pipelines, vector search, model endpoints, and orchestration layers. Triage incidents, debug Python frameworks and APIs, monitor telemetry and performance, develop automation and synthetic tests, maintain SLAs, and document recurring issues. Collaborate with AI and platform engineering teams to improve reliability, troubleshoot complex failures, and support global business users.

Provides production and technical support for Cisco Commerce applications, including AI assistants, conversational interfaces, and foundational AI capabilities. Manages ticket triage, prioritization, escalations, root cause analysis, troubleshooting, documentation, and knowledge management. Collaborates with business users, analysts, and developers to resolve issues and implement lasting improvements. Maintains AI frameworks, microservices, MCPs, and REST APIs while analyzing support trends proactively.

Leads inside sales teams serving the U.S. public sector, driving quota attainment, pipeline performance, portfolio profitability, and sustainable growth. Responsibilities include coaching and developing sales professionals, managing performance, aligning teams with business strategy, analyzing sales data and market trends, improving sales processes, fostering collaboration, and implementing digital engagement strategies. The role also builds relationships with customers and partners and supports strategic growth across government accounts.

Leads AI solution discovery, requirements definition, readiness assessments, and architectural alignment from ideation through production. Evaluates data quality, API readiness, and MCP compatibility; maps Quote-to-Cash and commerce workflows; analyzes Oracle and Snowflake data; develops process flows, technical specifications, roadmaps, and ROI updates; and partners with AI engineering teams to ensure effective implementation and adoption.

Build and lead automated QA for Cisco’s Circuit AI platform. Develop Playwright, Python, API, regression, performance, and end-to-end test suites; validate AI and LLM workflows; integrate testing into CI/CD; monitor quality metrics; assess AI-generated code for stability and security; and mentor peers while collaborating across engineering, product, and UX.

Leads the global New Product Introduction enablement program for Splunk and Cisco. Manages NPI Program Managers, governs launch-readiness frameworks, aligns Product Management, Engineering, and go-to-market leadership, and develops technical sales curricula. The role also oversees executive dashboards using Power BI or Tableau, tracks release coverage, manages stage-gate governance, and ensures technical sales teams are prepared across Security, Observability, and Platform product domains.

Marketing internship focused on developing foundational marketing and communications skills through cross-functional projects, mentorship, networking, and exposure to campaigns, content, brand, digital media, events, operations, and analytics. Interns collaborate with peers and marketing leaders, complete a business-relevant group project, and contribute creative problem-solving in a fast-paced hybrid environment.