Top Artificial Intelligence Jobs

Lead territory sales for Xtract One security products, driving new business and managing complex, long sales cycles. Develop territory plans, manage pipeline in CRM, deliver product demos, close high-value deals, collaborate cross-functionally, attend events, and contribute market intelligence. Responsible for meeting quotas and supporting go-to-market strategy across North America.

Lead early-stage B2B sales: personally source and close six- and seven-figure digital/behavioral health contracts with employers, partners, and providers; validate channels, pricing, and sales cycle; document the repeatable playbook; and hire and scale a sales team.

Lead end-to-end Google Business Profile management for dozens of locations: optimize listings, execute local SEO strategies to reach top local pack rankings, audit and remediate underperforming or suspended listings, manage reviews and reputation, track local ranking and GBP insights, and adapt tactics for algorithm changes. Provide strategic leadership and reporting across a multi-location portfolio.

Lead pre-sales discovery and post-sales operationalization of an agentic AI PM product for Fortune 500 customers. Map PM toolchains, design pilots, implement connectors and data flows, write runbooks, train PMO teams, track adoption, and feed field insights into product. Own delivery quality, pace, and repeatable deployment patterns.

Outbound B2B sales for a white-label diesel fuel card program: cold calling, lead management in CRM, sales strategy meetings, objection handling, coordinating with partner leadership. Commission-paid, remote/hybrid, student-hour role with potential full-time conversion for top performers.

Generate pipeline via outbound cold calls, email, LinkedIn, and events. Qualify prospects through consultative selling, partner with Account Executives to book meetings, maintain CRM data, master product and ICP, and train to advance into Account Executive roles. Focus on selling to clinical research sites and accelerating pipeline growth.

Build and maintain production-quality integrations and SDKs connecting CopilotKit with agent frameworks and model providers. Own research, prototyping, implementation, documentation, and maintenance; collaborate with partner engineering teams, coordinate releases, resolve compatibility issues, and produce examples and guides to drive adoption.

No clear responsibilities provided. The posting contains only an informal line: "Yo you're gonna be workin' bruh." No skills, duties, or expectations are specified.

Own enterprise implementations of an LMS from contract to go-live: lead client onboarding, manage data migrations and configuration, resolve loan-level reconciliation issues, coordinate with Product and Engineering on edge cases, and run project timelines while keeping senior stakeholders aligned.

Design, develop, and maintain large-scale data pipelines and ETL processes. Implement and optimize data storage and processing on BigQuery/GCP, ensure data quality and monitoring, participate in code reviews, mentor junior engineers, and help launch data-driven tools.