Top Artificial Intelligence Sales Jobs

Lead sales and partnership efforts with employee benefits consultants, brokers, advisors, and employers. Build and maintain partner relationships, demonstrate Milu's value proposition, drive business development, meet sales targets, and ensure excellent customer support in a remote environment.

Own Roboflow’s partnerships strategy and build consulting, systems integration, hardware, and software partner ecosystems. Source and negotiate strategic relationships, create joint go-to-market motions, enable partners, generate partner-sourced pipeline, and develop operating systems for scaling the function. This senior individual contributor will work cross-functionally with Sales, Product, Engineering, Marketing, Solutions Architecture, and Delivery to turn partnerships into measurable revenue and customer outcomes.

Leads HeyGen’s strategic partnerships function, securing distribution, API, OEM, embedded, licensing, and revenue-share deals with major technology and AI companies. Owns partnerships from sourcing through negotiation, launch, post-deal growth, and co-marketing. Develops partnership strategy, builds the API partner program, collaborates with Product, Engineering, Legal, Finance, and Marketing, represents the company externally, and eventually hires and manages a partnerships team.

Leads Dandelion Health’s AI developer business by building pipeline, closing clinical AI data and validation partnerships, recruiting developers into its marketplace, and achieving revenue targets. Develops commercial strategy, manages executive relationships, structures agreements, and collaborates with marketing, product, data, engineering, and clinical informatics teams. Represents the company at industry events and advises on clinical AI validation, regulatory, payer, and competitive dynamics.

Lead and develop an Enterprise Account Executive team, owning pipeline generation, forecasting, complex deal execution, coaching, and team performance. Build enterprise account strategies, sales playbooks, processes, and scalable go-to-market motions. Partner with executives and cross-functional teams to close strategic opportunities, improve positioning and packaging, and expand the company’s enterprise sales organization.

Build and qualify sales pipeline through cold calls, email, LinkedIn outreach, event follow-up, and account research. Engage distributor decision-makers, book qualified meetings for Account Executives, maintain accurate HubSpot records, and collaborate with Sales and Marketing on messaging and campaigns. The role also involves experimenting with AI tools, developing prospecting workflows, nurturing leads, and representing Proton at industry events.

Own strategy and revenue for 5–7 strategic utility accounts, originating and closing complex enterprise software deals. Lead discovery, solution shaping, business-case development, procurement, negotiation, contracting, and expansion. Coordinate cross-functional pursuit teams, manage executive and technical stakeholders, maintain forecasts and pipeline discipline, and translate market feedback into product and go-to-market strategy. The role requires deep enterprise sales expertise, utility or regulated-industry familiarity, and the ability to sell technically complex AI and data platforms.

Build and manage partnerships with unmanned vehicle manufacturers, primes, and systems integrators. Generate outbound pipeline, qualify prospects, negotiate licensing, teaming, joint-development, and reseller agreements, and coordinate vehicle software integration and field testing. The role involves selling technical defense products to engineering teams, maintaining CRM and pipeline reporting, supporting go-to-market development, and traveling 25–33% for partner meetings, testing, conferences, and industry events.

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.