Top Tech Jobs & Startup Jobs in Charlotte, NC

Conduct original research into active campaigns, attacker behavior, and email and identity attacks. Synthesize technical findings from diverse sources into threat briefs, analytical reports, customer briefings, webinars, and executive summaries. Present intelligence to customers and prospects, collaborate with Threat Intelligence, Detection, Sales, Customer Success, and Marketing teams, mentor analysts, and use AI tools and automation to improve research and content workflows.

Leads deal strategy and deal desk operations for complex enterprise SaaS transactions. Designs pricing, packaging, approvals, and commercial structures; validates non-standard terms; maintains Salesforce data quality; develops AI-enabled quoting and approval workflows; owns deal policies and field enablement; and builds a high-performing deal strategy team in partnership with Sales, Finance, Legal, Revenue Systems, Product, and Order Management.

Leads the strategy, roadmap, team, and budget for marketing, sales, and customer success technology. Owns revenue analytics, executive dashboards, data governance, AI-enabled workflows, vendor management, and cross-functional alignment across the full customer lifecycle. Builds a unified GTM systems ecosystem and ensures leadership has accurate insights into pipeline, bookings, retention, and expansion.

Lead demand generation operations by translating revenue targets into funnel strategies, lifecycle models, conversion benchmarks, and execution roadmaps. Own funnel reviews, diagnose pipeline bottlenecks, monitor Sales-Marketing SLAs, connect campaigns to revenue, and align Marketing, SDR, Sales, Operations, and Analytics teams. Use funnel, attribution, pipeline, automation, and AI-driven insights to improve performance across a multi-product B2B SaaS go-to-market motion.

Lead messaging, positioning, and go-to-market for core AI-native security products. Drive product launches, sales enablement, demand generation content, customer research, and analyst/customer-facing evangelism to accelerate pipeline and revenue.

Leads Abnormal AI’s global channel and partner ecosystem across North America, EMEA, and APJ. Owns channel strategy, executive partner relationships, cross-sell programs, public sector partnerships, forecasting, and global team development. Builds new partner motions for emerging security products, aligns Sales, Marketing, and Product, and represents the company at global industry events. Requires extensive vendor-side cybersecurity channel leadership, global organizational experience, major partner relationships, and startup-oriented program-building expertise.

Leads and grows a Northeast enterprise sales organization by hiring and developing sellers, driving pipeline generation, forecasting revenue, managing strategic accounts, expanding customer relationships, activating channel partnerships, and closing complex enterprise deals with C-suite buyers. The role owns regional sales strategy, productivity metrics, QBRs, partner development, proof-of-concept collaboration, renewals, upsells, and new-logo acquisition.

Provides L1 technical support for enterprise customers using cloud email and SaaS security platforms. Resolves configuration, API, integration, false-positive, and threat investigation issues through troubleshooting and log analysis. Communicates root causes and recommendations, partners with Engineering and Product, supports onboarding, maintains knowledge documentation, and identifies recurring customer issues. Requires 4+ years of cybersecurity, SaaS, or enterprise technical support experience, strong email security and cloud ecosystem knowledge, API troubleshooting skills, and excellent communication.

Design, build, operate, and scale secure, reliable, cost-efficient cloud infrastructure across AWS and Azure. Develop infrastructure as code, support Kubernetes and microservice environments, collaborate with engineering teams, participate in on-call and incident response, automate operational toil, reduce technical debt, and improve platform reliability using AI-assisted development tools.

Design and deliver development infrastructure systems, maintain CI/CD tools and pipelines, improve GitHub Actions, Docker images, and deployment workflows, and resolve complex on-call issues. The role involves cloud-native engineering, distributed systems, containerization, microservices, generative AI workflows, code reviews, planning, and coaching other engineers.