Top Artificial Intelligence Jobs in Raleigh-Durham, NC

As a Founding Fullstack Engineer at MathGPT, you will build and ship modern web applications using React and Typescript, focusing on creating user-friendly and efficient products.

Design and build scalable log ingestion pipelines, ensure system reliability, and optimize performance in a high-throughput environment.

As an Account Executive, you will prospec т, conduct deep discovery, and build business cases for SMB and mid-market clients. You'll sell AI-native commerce solutions and navigate complex operational challenges.

Lead strategic sales efforts for $500K+ enterprise deals, engaging with C-suite executives and shaping AI adoption in revenue organizations.

The Account Executive will manage the full sales cycle for SMB to enterprise accounts, conducting demos, coordinating compliance processes, and maintaining CRM discipline.

Senior Sales Engineer partners with sales and engineering to deliver pre-sales demos, POCs, and solution architecture for AI governance and cybersecurity integrations, engaging enterprise clients, designing integrations (SASE, firewalls, OS, APIs, SIEM), and shaping product roadmap via customer feedback.

Manage and expand a portfolio of strategic enterprise accounts, driving adoption, renewals, upsell, and revenue growth. Act as trusted advisor to executive stakeholders, develop account plans, coordinate cross-functional teams, forecast opportunities, and lead contract negotiations to ensure long-term customer success.

As an Enterprise Account Executive, you'll manage the full sales cycle, drive revenue growth, engage technical stakeholders, and influence the go-to-market strategy.

Manage a team resolving automotive total loss claims, negotiate settlements with carriers, optimize recovery using the company platform, own customer accounts, document KPIs and coaching, and collaborate with product and engineering to improve claims processes.

As a Founding Software Engineer, you'll architect and evolve core backend systems and streaming data pipelines, optimize performance and storage, and define data models to enhance AI deployment safety and performance in real-time environments.