GadellNet Consulting Services
Jobs at GadellNet Consulting Services
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Recently posted jobs
Cloud • Information Technology
Lead territory sales growth by prospecting, cold calling, social selling, and networking. Manage full sales cycle from lead generation to close, maintain CRM pipeline and forecasts, execute demand generation campaigns, and build consultative client relationships in the Metro East region.
Cloud • Information Technology
Embed with client teams to discover operational friction, design detailed future-state AI-driven workflows, build ROI-backed business cases, partner with AI engineers to deliver solutions, lead change management and adoption, and own client relationships and post-deployment reviews.
Cloud • Information Technology
Embed with clients to discover pain points and build production-grade AI agents, RAG and automation workflows integrating with CRMs/ERPs. Own delivery lifecycle, train client teams, and codify reusable components across engagements.
Cloud • Information Technology
Embed onsite with clients to discover operational pain points and build production-grade AI agents, RAG pipelines, and automated workflows. Integrate solutions with client systems (CRMs, ERPs, cloud), manage full delivery lifecycle, train client teams, and create reusable components and playbooks to scale AI-powered operations.
Cloud • Information Technology
Embed with client teams to discover operational pain points and build production-grade AI agents, RAG pipelines, and automation. Design integrations with CRMs/ERPs, deliver end-to-end solutions, train client teams, and create reusable playbooks and components to scale AI deployments.
Cloud • Information Technology
Embed with clients to discover high-ROI automation opportunities, map current and future-state workflows, build ROI-backed roadmaps, translate requirements to engineers, lead change management, own client outcomes end-to-end, and codify reusable frameworks for scaling AI-driven process automation.
Cloud • Information Technology
Embed with clients to run discovery, map current-state processes, quantify ROI, design detailed future-state workflows, partner with AI engineers to translate specs, lead change management, own client outcomes end-to-end, and codify reusable frameworks and playbooks for scaling AI-enabled automation.
