Top Artificial Intelligence Jobs

The Principal Sales Compensation Support will design and manage sales compensation plans, oversee quotas, validate calculations, and provide insights to optimize strategies while ensuring compliance and accuracy.

Build and own backend services and mobile integrations for Hiya's iOS and Android apps. Design Node.js services on AWS, ensure high availability and low latency, scale infrastructure for millions of lookups, collaborate with mobile engineers on SDK integration, and drive architecture and implementation decisions for AI-powered call screening, spam detection, and transcription features.

Sell LogicMonitor's AI-enabled observability SaaS to State, Local & Education (SLED) customers: build C-level relationships, manage full sales cycles, close new business and expansions, leverage AI and Salesforce, maintain CRM accuracy, and meet revenue targets.

The Associate Director leads drug substance manufacturing for biologics, overseeing processes from IND-enabling to commercialization, ensuring alignment with timelines and regulatory compliance.

The Sr. Account Manager will manage customer relationships, develop strategic account plans, achieve revenue targets, and collaborate with various teams to enhance customer value.

Build enterprise-grade authentication, authorization, and identity features across the full stack. Design and implement RBAC, provisioning (SCIM), SSO/OAuth integrations, secure public APIs, and admin workflows for auditing and compliance. Own end-to-end product changes, collaborate on architecture, and mentor engineers to deliver scalable, reliable systems for enterprise customers.

Design and manage data pipelines for healthcare clients, ensuring compliance with data regulations, and transforming health data into actionable formats.

Lead complex client implementations while mentoring junior consultants, managing stakeholder relationships, and establishing quality standards for technology integrations.

The AI Integration Engineer will lead AI implementation projects, working with customers to integrate AI solutions, perform needs analysis, and ensure successful workflows.

Develop and maintain embedded firmware for products, collaborating with teams, mentoring colleagues, and ensuring high quality in coding practices.