Top Artificial Intelligence Jobs

Leads strategy, roadmap, delivery, and people management for InterSystems Lab Enterprise. Translates complex laboratory and healthcare needs into scalable product capabilities, prioritizes investments, guides product managers through development and adoption, and aligns Product Development, clinical, regional, customer, and executive stakeholders. Uses market insight, customer feedback, and product performance to drive continuous improvement while supporting strategic engagements, demonstrations, pre-sales, and product marketing.

Advise enterprise and high-risk customers on fraud prevention, AML, risk assessment, detection framework development, and rule optimization. Analyze fraud trends and emerging threats using data analytics and machine learning insights. Collaborate cross-functionally to improve fraud solutions, lead customer and internal training, mentor junior consultants, support customer success, and represent the company at industry events and forums.

Build and deploy custom software solutions for customers using large-scale data and AI. Responsibilities include collaborating on architecture, developing applications, engaging technical and executive stakeholders, and leading projects from ideation through deployment. The role requires strong programming skills, analytical problem-solving, independent decision-making, and up to 25% travel to client sites.

Provides first-line support for Canoe’s production clients, handling inquiries, troubleshooting, training, and product education. The role coordinates with Product and Data teams to resolve bugs, communicate feedback, improve workflows, maintain Help Center content, and support AI adoption initiatives. Success requires strong client focus, analytical problem-solving, technical communication, collaboration, and interest in AI-enabled support operations.

Leads global revenue accounting, including IFRS 15 policy governance, monthly close, journal entries, reconciliations, variance analysis, technical accounting guidance, SOX controls, SEC filings, consolidation support, and external auditor relationships. Serves as the enterprise subject matter expert for complex revenue recognition matters while partnering cross-functionally with international teams and managing accounting improvement projects.

Provides proactive administrative and operational support to VP and SVP executives. Responsibilities include managing complex calendars across time zones, coordinating domestic and international travel, planning events and onsites, processing expenses and purchase requisitions, liaising with Finance and Procurement, preparing agendas and pre-reads, tracking action items, and serving as a key stakeholder contact.

Lead Notion’s People Operations and Total Rewards operations teams, developing scalable employee lifecycle, compensation, benefits, support, and payroll workflows. Build reliable systems, service standards, controls, and automation while maintaining privacy, data integrity, audit readiness, and human oversight. Partner with People, Finance, Payroll, Legal, IT, and BizTech to improve processes, manage change, and strengthen employee experience.

Owns end-to-end people operations, including onboarding, performance and compensation cycles, offboarding, benefits, payroll, compliance, immigration casework, leave administration, HR technology, vendors, and people analytics. Builds scalable processes, documentation, automation, dashboards, and self-service systems while partnering with Legal, IT, Finance, recruiting, managers, and outside counsel to improve the employee experience.

Own the full post-sale experience for insurance claims clients, including onboarding, data migration, claims program launches, account health, business reviews, renewals, and expansion. Build trusted client relationships, translate claims performance data into insights, coordinate cross-functional issue resolution, and create scalable customer success playbooks, metrics, and operating rhythms.

An early-career software engineering resident will build and deploy production services, use AI tools to accelerate development, improve system performance, and collaborate with product, design, and engineering teams. The 18-week program requires full-time, in-office work in New York City and offers potential full-time employment after completion. Residents are expected to ship a real contribution, apply strong computer science fundamentals, and work effectively in a fast-paced environment.