Top Artificial Intelligence Sales Jobs

Own the full B2B sales cycle from qualified lead through contract signing. Responsibilities include strategic discovery, tailored product demonstrations, proposals, pricing, negotiations, pipeline and forecast management, stakeholder relationship building, and closed-won handoffs. The role partners with SDR and Marketing teams to improve funnel performance and helps establish Zeely’s B2B sales playbook. Candidates need 5+ years of B2B sales experience, MarTech, AdTech, or SaaS expertise, international selling experience, and strong performance marketing knowledge.

Own the full sales cycle for Petual’s AI-powered control testing platform, selling to internal audit, risk, compliance, finance, IT, and security leaders. Responsibilities include prospecting, discovery, proof-of-concept management, negotiation, closing, pipeline development, forecasting, navigating complex stakeholder groups, gathering market feedback, and helping build the company’s go-to-market playbook.

Drive consumer sales from signup through course or coaching purchase, consistently achieve revenue targets, build pipeline through outreach and marketing channels, and guide prospective clients toward suitable experts and offerings. The role also develops sales playbooks and training resources, requires knowledge of career and graduate-school coaching categories, and contributes to an inclusive, collaborative team culture.

Build and lead Aaru’s enterprise sales organization, recruit and coach Account Executives, own revenue targets, and establish repeatable sales motions. Engage C-suite and government decision-makers, manage complex enterprise procurement, oversee forecasting and pipeline discipline, and partner with AI, product, marketing, legal, and deployment teams to drive customer adoption and expansion.

Generate qualified opportunities and pipeline for Account Executives through high-volume outbound prospecting. Conduct cold calls and emails, book meetings, meet activity and pipeline quotas, and support the development of Jump’s outbound sales motion. The role serves financial advisor customers and uses AI-enabled sales technology to improve productivity. Success requires strong communication, competitiveness, initiative, coachability, and comfort working in an early-stage, fast-paced software company.

Participate in the full SaaS sales cycle, from prospecting and initial customer contact through supporting existing users. Gain hands-on exposure to direct and mobile marketing, marketing automation, APIs, advertising, analytics, and customer engagement while developing sales and marketing skills in a startup environment.

Serve as the technical backbone of the pre-sales process by partnering with Account Executives, answering technical prospect questions, running proof-of-concept evaluations, troubleshooting issues, and relaying requirements to Engineering and Product teams. Manage evaluation timelines, support prospect success, improve customer-facing tools and processes, and communicate effectively with technical and security buyers in a fast-paced cybersecurity startup.

Own Rifa’s first non-founder enterprise sales motion by building pipeline, closing six- and seven-figure deals, managing regulated-buyer conversations, scoping measurable pilots, and creating a repeatable sales playbook. The role partners closely with founders and engineering, feeds market insights into product development, and handles compliance, security, procurement, and deployment objections. The successful candidate will have enterprise software sales experience, regulated-industry expertise, strong technical fluency, and experience building pipeline independently.

Drives new SaaS business among small healthcare practices by partnering with another account executive, managing opportunities through the sales cycle, conducting consultative sales activities, maintaining pipeline data, meeting revenue targets, and coordinating customer onboarding transitions.

Drive end-to-end B2B sales of Data and AI consulting services in the US market. Responsibilities include prospecting, pipeline generation, solution selling, account planning, business-case development, executive stakeholder engagement, partner collaboration, and closing enterprise and mid-market opportunities involving Databricks, Lakehouse modernization, data engineering, analytics, AI/ML, and GenAI.