Top Artificial Intelligence Sales Jobs

Join the founding team to spearhead sales initiatives, develop content strategies, and enhance customer relationships in blockchain security. Collaborate closely with the CEO to achieve product-market fit and build a strong team culture.

The Account Executive will drive new business for an AI PaaS solution, managing enterprise sales from prospecting to closing and engaging stakeholders.

The GTM Engineer is responsible for managing HUD's outbound sales pipeline, optimizing conversion metrics, and developing GTM workflows, targeting technical buyers. The role requires technical aptitude and sales skills relevant to AI and ML domains.

The Sales Development Representative will convert high-intent leads into booked meetings for demos, focusing on law firms and supporting the sales funnel.

The Head of Strategic Partnerships will develop and scale the partner channel, build relationships with key partners, drive co-sell motion, and create an AI-first partner engine.

The Sales Director will lead a team of Enterprise Account Executives to improve logo acquisition and pipeline generation, implement structured sales methodologies, and enhance team performance in a hypergrowth environment.

The Head of Business Development will drive Matter's go-to-market strategy, manage partnerships, and build a pipeline for growth in high-value sectors.

The Account Executive will handle the full sales cycle for mid-market and enterprise clients, focusing on executive outreach and AI-led revenue growth, while building pipeline and managing strategic demos.

The Account Executive will own the full sales cycle, from discovery and demos to closing deals with mid-market and enterprise customers. Responsibilities include qualifying accounts, maintaining accurate forecasts, and collaborating with product teams, while aiming for growth and refining sales messaging based on insights from prospects and clients.

The Sales Engineer will lead the technical lifecycle of network solutions for customers, including requirements discovery, deployment, and optimization. They will provide technical oversight and collaborate with sales and engineering teams to ensure tailored solutions meet customer needs.