Top Artificial Intelligence Sales Jobs

Own HUD’s outbound commercial pipeline end to end, including targeting, enrichment, outreach, qualification, follow-up, and meeting booking. Build scalable GTM workflows, CRM automations, lead scoring, and custom AI-powered tools. Develop messaging for ML engineers, AI researchers, and engineering leaders, close deals, analyze funnel performance, and collaborate with founders to refine the GTM playbook.

Partners with Sales and Customer Success teams as a technical expert across the client lifecycle. Scopes expansions, designs solutions, leads discovery, delivers technical demonstrations, supports RFPs, guides website integrations, troubleshoots JavaScript tags, pixels and APIs, and coordinates documentation and handoffs to Implementation and Support.

Own and grow SambaNova’s enterprise financial services sales business across major US banks, capital markets firms, asset managers, and insurers. Build executive relationships, manage complex infrastructure and platform pursuits, lead technical and commercial validation, navigate financial-sector governance requirements, drive negotiations and production deployments, maintain forecast accuracy, and develop a scalable segment playbook. The role requires deep enterprise technology sales experience, strong financial services relationships, AI infrastructure fluency, and executive presence.

Manage and grow healthcare and PBM client relationships, lead account strategies and renewals, negotiate contracts, identify upsell opportunities, resolve escalated issues, support RFPs and onboarding, and collaborate with internal teams to improve client outcomes and business growth.

Own the full provider partnership lifecycle, including sourcing and signing specialty practices, coordinating implementation and EHR integrations, managing data agreements and payments, and driving long-term engagement. Serve as the internal voice of providers while partnering with founders, counsel, and internal teams to improve onboarding, communication, retention, and product decisions.

Own the full enterprise sales cycle for Within’s AI platform, from territory building and outbound prospecting through executive engagement, business-case development, negotiation, and close. Sell to Fortune 2000 organizations and complex financial-services accounts, navigating multi-stakeholder buying committees across business, IT, procurement, legal, and compliance. Partner with Solutions Consultants and Customer Success on proof-of-value engagements, manage pipeline and forecasting, and travel extensively for customer meetings and deal opportunities.

Architect high-performance storage solutions for enterprise customers across AI, HPC, finance, pharmaceuticals, research, and autonomous systems. Translate customer requirements into scalable architectures, create technical proposals and BOMs, conduct demonstrations, proofs of concept, and benchmarks, and integrate solutions with GPU clusters, Kubernetes, cloud platforms, and AI frameworks. Serve as a trusted technical advisor throughout complex sales cycles while collaborating with Product and Engineering and mentoring team members.

Own the technical pre-sales process from discovery through deal signature. Build rapid prototypes, proof-of-concept agents, demo environments, reference architectures, and sizing models. Lead technical demonstrations and deep dives with clinical, IT, and executive stakeholders, address security and integration objections, and collaborate with account executives and Applied AI Engineers. Feed prospect insights into product and engineering while supporting healthcare AI use cases and integrations.

Supports pre-sales opportunities by translating customer requirements into technical solutions, leading demos and technical evaluations, designing permission schemas and proofs of concept, troubleshooting demonstrations, and collaborating with account executives, product, and engineering teams. The role requires backend programming, database, cloud, Kubernetes, API integration, and architecture expertise, plus strong customer communication. Travel is typically 3 to 4 days per month for customer visits and team offsites.

Own the full sales cycle for Longeye’s AI-powered investigative workspace, selling to police and sheriff’s departments. Responsibilities include prospecting, cold outreach, networking, referrals, product pitches, demonstrations, ROI-based selling, contract negotiation, and on-site customer training. The role requires building a pipeline independently, explaining AI technology to law enforcement leaders, and leveraging an existing public safety network to close contracts.