Top Artificial Intelligence Jobs

Generate and qualify sales pipeline for Navina’s healthcare AI platform through outbound and inbound outreach. Research target accounts, personalize multichannel campaigns using email, phone, and LinkedIn, qualify healthcare decision-makers, maintain CRM records, support events, collaborate with Sales, Marketing, and Revenue Operations, and optimize outreach using performance metrics.

Source and qualify new business, deliver presentations and demos, close deals to grow subscriptions and revenue, maintain CRM records, build executive relationships, and provide product feedback.

Provides administrative and executive support through calendar coordination, meeting preparation, document organization, travel and expense assistance, recruiting coordination, candidate communication, training scheduling, LMS record maintenance, internal project support, and office administration. The role requires strong organization, discretion, communication, follow-through, and full-time onsite work in Scottsdale, including occasional local errands.

Sell CHEQ’s cybersecurity platform suite to enterprise customers across Marketing Security, Defend, and Govern solutions. Own the full B2B sales cycle, including prospecting, opportunity generation, consultative selling, stakeholder relationship management, complex multi-contact negotiations, and closing six-figure deals. Target C-suite executives across security, technology, marketing, and operations. Maintain consistent customer and partner meetings, prospecting activity, sales pipeline development, and quota attainment across a defined U.S. territory.

The Customer Success Manager will engage with enterprise finance leaders, driving value from AI solutions and managing customer success initiatives to enhance renewals and partnerships.

Manage customer onboarding, technical implementation, relationship development, success planning, troubleshooting, and ongoing support for PassiveLogic’s autonomous building platform. Partner with facility managers, contractors, system integrators, engineering, and program management teams to drive deployments, resolve issues, gather customer feedback, and improve the product experience. The role requires strong knowledge of building controls, HVAC systems, technical communication, problem-solving, and cross-functional collaboration.

Build and expand C10 Labs’ investor and strategic partner network to support Fund II capital formation and portfolio growth. Responsibilities include sourcing and cultivating LP relationships, facilitating fundraising meetings, developing corporate and venture partnerships, making strategic introductions, representing C10 at industry events, and advising leadership. Success is measured by LP commitments, partnerships closed, investor network growth, and portfolio company revenue, pilots, or distribution opportunities. This is a part-time, equity-based partner role requiring approximately 5–10 hours weekly.

Own Ornn’s brand, messaging, visual identity, social channels, content, and communications. Translate complex compute-market and financial infrastructure concepts into clear, engaging materials, including market notes, charts, newsletters, announcements, and founder content. Manage launch and media communications, support events, track channel performance, and collaborate closely with founders, GTM, and product teams.

Own client relationships and AI transformation engagements from kickoff through delivery. Lead discovery sessions, translate business challenges into recommendations, build project plans and implementation roadmaps, manage risks and dependencies, facilitate client meetings, and oversee high-quality deliverables. Track progress toward measurable business outcomes, resolve blockers, and improve internal processes and communication standards. Regularly engage department heads and C-suite executives while using AI tools to improve efficiency and client solutions.

Leads pre-sales discovery, solution architecture, tailored demos, technical workshops, and proof-of-outcome engagements for enterprise prospects. Advises customers on content modeling, schema design, localization, frontend choices, integrations, and implementation architecture post-sale. Partners with Sales, Customer Success, Product, Engineering, and Forward Deployed Engineers while addressing security, scalability, migration, and integration concerns.