Top Artificial Intelligence Sales Jobs

Own the full sales cycle for educational institutions: qualify leads, run discovery and demos, coordinate pilots, build stakeholder relationships, negotiate contracts, maintain pipeline, and partner with Customer Success to implement solutions.

Serve as the technical backbone of the sales team by partnering with Account Executives, running MSP-focused product demos, answering integration and architecture questions, guiding technical evaluations and deployments, and leading security reviews. Translate AI capabilities into practical service desk outcomes, address technical objections, train internal teams, and provide structured feedback to Product and Engineering to improve win rates and customer implementation confidence.

Drive new business sales for RapidAI’s clinical AI imaging platform across an assigned East Coast territory. Responsibilities include prospecting, developing and closing complex healthcare technology deals, building relationships with hospital stakeholders and executives, achieving sales targets, developing regional business plans, cultivating customer advocates, managing pipelines, and maintaining sales activity and reporting in Salesforce.

Leads regional life science enterprise sales by developing pipeline, closing complex deals, expanding accounts, and building executive relationships across health plans, health systems, biotech, and pharmaceutical organizations. The role requires consultative selling of AI/ML healthcare solutions, cross-functional collaboration, CRM management, contract negotiation, and trusted-advisor engagement with C-level decision-makers. This remote position requires 25–50% travel.

Start in an SDR capacity focusing on outbound prospecting, qualifying leads, and booking meetings. Support AEs and maintain pipeline in Salesforce. On promotion, run discovery calls and demos, own deals end-to-end, forecast, and work cross-functionally with Marketing, RevOps, and Customer Success.

Generate qualified sales pipeline through prospecting, cold outreach, discovery calls, lead qualification, and relationship building with prospective clients. Collaborate with Account Executives on opportunity handoffs, maintain accurate CRM records, and use performance data to improve outreach. The role requires effective communication, strong listening and discovery skills, and comfort working independently in a fast-paced B2B SaaS environment.

Own strategic partnership and business development initiatives from opportunity identification through execution. Manage partner relationships, develop proposals and business cases, coordinate cross-functional workstreams, support API and product integrations, track deliverables, and prepare executive communications. Research partners, markets, competitors, and industry trends while supporting strategic evaluations and corporate development projects.

The Business Development Representative will research and prioritize target accounts, engage stakeholders, create personalized outbound campaigns, generate qualified pipeline, schedule meetings, maintain CRM activity, and provide prospect feedback. The role partners with Enterprise and Mid Market account executives and may eventually manage and close smaller SMB opportunities. The representative will also help refine prospecting strategies, messaging, sequencing, and team playbooks.

Own the full enterprise sales cycle for AI inference and serving solutions, from pipeline generation through closing strategic accounts. Build relationships with technical and executive stakeholders, manage technical proofs of concept, exceed revenue targets, and expand existing accounts. Represent the company at AI/ML events, support technical content and demonstrations, provide market and competitive insights, and bring customer feedback into product strategy.

Owns Noma’s end-to-end quote-to-cash process, including complex enterprise and channel deal structuring, pricing and discount governance, CPQ configuration, booking, billing handoff, and audit-ready documentation. Partners with Sales, Finance, Legal, and Product on terms, revenue recognition, pricing, and multi-entity transactions. Reports on deal performance and improves quote-to-close and invoicing processes.