Top Tech Jobs & Startup Jobs in Charlotte, NC

Owns Noma’s end-to-end quote-to-cash process, including complex enterprise and channel deal structuring, pricing and discount governance, CPQ configuration, booking, billing handoff, and audit-ready documentation. Partners with Sales, Finance, Legal, and Product on terms, revenue recognition, pricing, and multi-entity transactions. Reports on deal performance and improves quote-to-close and invoicing processes.

Build and lead enablement across Sales, Sales Engineering, Customer Success, and customer teams. Create playbooks, pilot guides, deployment runbooks, training content, onboarding, and ramp programs. Partner with Product and Marketing to translate product roadmaps into practical materials, coordinate cross-functional feedback, and establish a scalable enablement operating model. The role requires hands-on customer-facing experience, strong technical and product fluency, and the ability to build programs from scratch in a fast-growing B2B SaaS or cybersecurity environment.

Design and lead secure AI security solutions for enterprise customers across cloud, hybrid, and on-premises environments. Conduct technical discovery, architect integrations spanning AI systems, LLM applications, data pipelines, model layers, and runtime environments, and support presales validations and implementations. Serve as a technical advisor to CISOs and security leaders while partnering with Sales, Product, and R&D to guide deployments, resolve escalations, and influence product strategy.

Drive enterprise sales growth across a defined region by building account strategies, developing pipelines, closing complex cybersecurity deals, and expanding strategic accounts. Sell Noma’s AI security platform to CISOs and AI security leaders, build channel and cloud partnerships, and collaborate with Product, Marketing, and leadership. The role requires expertise in enterprise security software sales, complex procurement processes, category creation, formal sales methodologies, and six-figure, multi-stakeholder deals.

Build and scale strategic partnerships with Global Systems Integrators by recruiting partners, developing joint business plans, driving co-sell initiatives, enabling partner teams, aligning executives, and generating partner-sourced revenue. The role owns GSI relationships, creates partnership frameworks, tracks pipeline and revenue attribution, and collaborates with Sales, Marketing, Product, and Solutions Engineering to expand enterprise reach.

The Head of Product Marketing will own Noma’s positioning, messaging, competitive strategy, and product launches for its AI security platform. They will build and lead the product marketing team, define buyer segments and personas, enable Sales, collaborate with Product on roadmap insights, and align Demand Gen messaging. The role requires proven cybersecurity, infrastructure, or AI product marketing experience, startup growth experience, team management, and a repeatable launch framework.

Lead hands-on technical post-sales engagements, helping customers deploy, integrate, configure, troubleshoot, and operationalize Noma’s AI security platform. Translate use cases into production-ready workflows, automation, integrations, runbooks, and reusable implementation patterns. Conduct technical deep dives, resolve complex issues, coordinate escalations, enable customers, and collaborate with Solutions, Product, Engineering, Research, Security, and Support teams.

Own strategic post-sales relationships with enterprise customers, advising them on AI security and governance. Lead discovery, define measurable outcomes, drive adoption, support retention and expansion, and coordinate Product, Engineering, Security, Support, and operationalization teams. Translate CISO-level strategy, GRC concerns, business objectives, and technical requirements into practical solution strategies while identifying new AI security use cases and growth opportunities.

Own technical pre-sales for enterprise AI security: lead discovery, design demos, execute end-to-end POCs, partner with AEs, surface product feedback, and advise customers on complex technical decisions.