Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead and manage 2-3 AI POD teams as a player-coach to drive pipeline, forecast accuracy, revenue, and margin. Run structured GTM cadence, enforce pipeline/CRM governance, engage in strategic executive customer pursuits, coordinate shared and OEM resources, integrate PODs with regional sales, and hire and develop high-performing AI sales specialists.

Quota-carrying sales role generating, qualifying, and closing AI opportunities across an assigned region. Partner with field teams and AI ecosystem partners to build pipeline, craft executive pitch decks, sell product/infrastructure and consulting services, and maintain CRM, forecasting, and GTM operational discipline.

Drive consulting pre-sales for regional AI PODs by scoping, packaging, and positioning AI services (data readiness, governance, AI Factory, workforce AI, coding assistant pilots). Collaborate with sales, architects, and delivery to develop proposals, ensure clean handoffs, justify infrastructure, design lab/PoC engagements, and build repeatable service frameworks to accelerate customer adoption and downstream consumption.

Technical pre-sales AI architect responsible for designing end-to-end enterprise AI architectures, whiteboarding GPU cluster and MLOps solutions, coordinating ATC proof-of-concepts, aligning with NVIDIA and hyperscaler partners, producing BOMs/sizing/POC plans, and enabling clean handoffs to delivery teams while supporting revenue-generation and co-selling activities.

Sell coding-assistant and AI-native engineering solutions and co-sell NVIDIA-accelerated application services. Engage enterprise development leadership to design pilots, benchmark developer productivity, scope consulting engagements, and translate developer tools into business outcomes while collaborating within regional PODs and with NVIDIA technical teams.

Sell, scope, and package enterprise AI consulting services across workforce AI, AI Foundations, and AI Factory use cases. Develop proposals, run discovery workshops and assessments, justify infrastructure investments, design lab/PoC engagements, and ensure clean handoffs to delivery while collaborating with sales, architecture, and delivery teams to grow services pipeline and consumption.

Quota-carrying sales role generating, qualifying, and closing enterprise AI opportunities across an assigned region. Partner with field teams and AI ecosystem partners, craft executive pitch decks, drive product/infrastructure and consulting services sales, manage CRM and forecasting, and deliver multi-phase AI engagements.

Technical pre-sales AI architect responsible for designing end-to-end AI/ML architectures, leading discovery and POC lab engagements, co-selling with sales and partners, producing reference architectures, BOMs, sizing models, and ensuring clean handoff to delivery teams. Operates in a revenue-generating, customer-facing pre-sales role and collaborates with NVIDIA, hyperscalers, and infrastructure partners.

Leads enterprise AI-native engineering initiatives by researching and prototyping AI tools, designing AI-enhanced workflows, creating reference architectures, and developing proofs of concept. Owns AI training and enablement, including documentation, presentations, tutorials, demonstrations, and coaching. Evaluates tooling, supports adoption, communicates technical changes to leadership, hosts engineering office hours, and establishes scalable standards across the organization.

Manages long-term network, unified communications, and Microsoft support engagements for clients. Acts as a trusted advisor and escalation point, leads Quarterly Business Reviews, analyzes ticketing data, mitigates risks, resolves issues, and recommends improvements. The role supports renewals, demonstrates service value, collaborates with account and internal teams, develops OEM relationships, and maintains client partnerships. It is dedicated to a New York-area client, requiring periodic work at NY/NJ client locations with remote work on other days.