Top Artificial Intelligence Jobs in Raleigh-Durham, NC

Lead and scale the Customer Success function for a B2B SaaS security company. Own onboarding, adoption, retention, renewals, expansion, customer outcomes, forecasting, and team metrics. Hire and coach Customer Success Managers, establish coverage models, support strategic accounts, and partner with Sales, Support, Product, and Engineering. Drive AI-native customer success practices and guide customers on AI agent security, governance, integrations, and security outcomes.

Leads U.S. defense and aerospace sales for board-level embedded computing products. Builds and manages distributor and manufacturer representative channels, develops relationships with engineering and program stakeholders, drives design-in opportunities, manages sales execution and inside sales, and owns opportunities through technical qualification, proposals, and commercial closure. Requires deep experience selling complex electronics to defense primes and technical credibility with engineering customers.

Sell Dataminr’s cybersecurity solutions to enterprise accounts in the TOLA territory. Responsibilities include meeting sales quotas, building pipeline through prospecting and partners, developing senior client relationships, navigating complex enterprise deals, understanding customer needs and buying processes, conducting competitive analysis, and providing product feedback to Product and Engineering teams.

Advise B2B SaaS customers on demand generation strategy, including funnel optimization, ABM, content, paid media, SEO/AEO, and agent expansion. Translate engagement data into campaigns, positioning, and growth plans; measure pipeline, cost per lead, and ROAS; lead quarterly value reviews; identify expansion opportunities; develop playbooks; and provide proof points to Marketing. Partner with Customer Success Managers while serving as a strategic peer to customer marketing leaders.

Design, prototype, deploy, and integrate generative and predictive AI solutions for U.S. government customers. Develop agentic workflows, fine-tune LLMs, build customer-facing interfaces, research emerging AI capabilities, and translate technical concepts for customers and subject matter experts. Support pre-sales efforts and create both rapid proofs of concept and scalable long-term implementations.

Drive revenue growth across the Northeast territory by managing complex sales cycles from lead generation through close. Build strategic relationships with C-level stakeholders, understand manufacturing and robotics needs, tailor solutions, collaborate cross-functionally, provide market feedback to product teams, and mentor junior team members. The role uses the Challenger sales methodology and focuses on enterprise accounts and AI-driven robotic solutions.

Leads complex, cross-team technical programs including platform releases, integrations, migrations, and Tier 1 client engineering commitments. Owns workback plans, dependency management, operating cadences, risk escalation, status reporting, and delivery coordination. Translates client needs into engineering work, resolves blockers, improves TPM processes, mentors junior program managers, and introduces tools and AI-native workflows. The role does not manage people, own product direction, or make technical architecture decisions.

Three-month remote ML mentorship program for recent graduates with Python skills. Participants build production-grade generative AI projects involving agents, data engineering, search and retrieval, LLM training, summarization, fine-tuning, multimodal systems, and real-time inference. The program includes mentorship, GPU infrastructure, a research assistant capstone, demo day, and introductions to AI employers.

Own Dovetail’s paid acquisition and email lifecycle growth engine. Manage channel strategy, budgets, campaigns, audiences, creative, landing pages, testing, attribution, and pipeline performance across Google Ads, LinkedIn Ads, retargeting, and email. Build AI-powered workflows, improve conversion journeys, connect spend to qualified pipeline and revenue, and collaborate cross-functionally with marketing, data, web, revenue operations, sales, and engineering teams.

Develop and maintain full-stack applications using Vue 3, Nuxt, JavaScript, Node.js, Firebase, Firestore, and Google Cloud Platform. Build APIs, microservices, integrations with AI and marketing platforms, payment systems, and cloud services. Troubleshoot UI, database, deployment, and API issues; write tests; and collaborate remotely with the CTO and development team. This is a part-time, equity-based startup opportunity requiring approximately 20 hours weekly.