Top Artificial Intelligence Jobs

Lead GumGum’s global experiential marketing and events strategy, including roadmaps, budgets, flagship activations, regional events, production, vendors, executive engagement, and post-event reporting. Manage a direct report and global agency network while defining KPIs tied to awareness, pipeline, retention, and marketing-sourced revenue. Collaborate with Sales, Brand, Creative, Communications, Demand Generation, and executive leaders to align event goals and brand standards.

Lead and shape the engineering organization: own system architecture, set engineering standards, ensure code quality, design reliable infrastructure and deployments, build AI-assisted engineering workflows, mentor engineers, manage technical risk, and contribute to the product roadmap.

Lead technical vision and execution for autonomy and APNT solutions on unmanned aerial systems. Guide programs from research and development through flight testing and fielding, oversee multidisciplinary engineering teams, manage schedules and budgets, support systems integration, engage customers and partners, and identify new business opportunities. Provide technical oversight while driving successful delivery of mission-critical aerospace software and systems.

Lead hardware and software implementations for strategic accounts, managing projects from sales handoff through deployment, training, post-implementation support, and transition to clinical success teams. Own project plans, milestones, budgets, customer relationships, cross-functional coordination, and process improvements. The role requires enterprise implementation experience, strong project management and communication skills, lean methodology knowledge, and up to 80% travel.

Build and scale Onshore’s partner marketing program by recruiting referral partners, developing co-marketing campaigns, hosting partner events, enabling referrals, tracking partner-sourced pipeline, and coordinating with sales. The role requires representing Onshore with professional services firms, financial institutions, associations, and industry partners while connecting campaign activity to revenue outcomes. This New York City-based position requires daily in-office attendance and close collaboration with marketing, sales, revenue, and executive leadership.

Build and close enterprise sales opportunities across the United States, initially Texas. Generate pipeline through prospecting, networking, referrals, and events; lead discovery, qualification, proposals, negotiations, and closing; collaborate with delivery teams; maintain accurate CRM data and forecasts; and represent Hikari Blue in Austin and across Texas.

Own the full B2B sales cycle from discovery through close, create pipeline, navigate complex finance deals, and develop customer champions. Experiment with messaging, qualification, demos, and business cases to establish a repeatable sales motion. Partner with and coach SDRs, build sales processes and standards, and help shape Quanta’s early sales organization while using AI to improve effectiveness.

Supports people operations and workplace experience for the US team by coordinating hiring, onboarding, offboarding, employee engagement, office operations, events, vendors, inventory, hardware setup, and leadership support. The role serves as a central point of contact for candidates and employees, manages office and team logistics, and helps maintain a positive, organized, and well-equipped workplace.

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.

Build and scale Credal’s secure AI platform as a founding full-stack engineer. Own stability, scalability, security, architecture, and product quality while syncing billions of customer records reliably. Develop across frontend, backend, cloud, and AI/ML systems; collaborate directly with customers and go-to-market teams; mentor engineers; and take end-to-end ownership of complex technical and product outcomes.