Top Artificial Intelligence Jobs

Identify and qualify inbound and outbound leads, deliver Quickbase value proposition, meet daily call/email and pipeline goals, source leads via creative outbound methods, and collaborate with account teams to create weekly call plans and progress prospects.

The Customer Success Manager will engage with various customers to ensure they achieve their goals, provide support, create resources, and drive customer retention and growth.

This role involves enhancing development infrastructure for ML systems, maintaining CI/CD pipelines, and collaborating with software and hardware teams. Requires strong skills in C/C++, Python, GitLab, and containerization.

Drive sales growth for Amazon Connect and AWS CX solutions, manage client relationships, and oversee the sales cycle to generate revenue.

Develop and maintain UVM-based verification environments for SoC designs, including writing SystemVerilog assertions, debugging, and collaborating on verification plans.

Own and optimize the startup community technical infrastructure and digital founder experience. Lead platform integrations, virtual programs, newsletters, CRM tracking, and analytics to drive engagement, retention, and scalable community operations across regions.

The Senior HPC Cluster Engineer will optimize GPU clusters, troubleshoot InfiniBand networks, integrate new hardware, enhance automation systems, and manage GPU devices in HPC environments.

As a Senior Software Engineer, you'll build applications, APIs, and SDKs for AI agent interactions in finance. You will develop core products, enhance payment systems, and support decentralized AI coordination.

The Growth Lead in Semiconductor develops relationships with microprocessor and HW platform companies, driving customer success and account growth through strategic engagement and technical collaboration.

As a Technical Lead, you'll design and build software analysis tools, shape system architecture, write production code, and guide small teams. This role combines technical leadership with hands-on engineering.

Lead product strategy for Eudia's AI application, focusing on user experience, workflow design, trust, and enterprise adoption in legal environments.

As a Principal Infrastructure Engineer, lead the design and optimization of cloud-native infrastructure at Curative AI, ensuring reliability, scalability, and performance while implementing best practices and compliance standards in healthcare delivery.

The Principal Product Manager will lead product lifecycle for AI-powered healthcare solutions, conduct market research, develop product roadmaps, and manage cross-functional collaboration.

The VP of AI will lead AI strategy and execution, oversee AI model development, manage teams, and ensure alignment of AI technology with business goals.

Lead development of complex React applications, maintain reusable component libraries, optimize frontend performance and accessibility, translate Figma designs into responsive UI, collaborate on API design (Node/Python), use analytics to improve user journeys, and champion AI-augmented development workflows.

Design, build, and deploy scalable ML models and data pipelines for prediction, anomaly detection, personalization, and automation. Own operationalization, monitoring, model evaluation, and integration with platform services at cloud scale.

Provide technical escalation support for enterprise VDI products: troubleshoot, reproduce and resolve issues, perform root-cause analysis, document findings, mentor peers, collaborate with Product/Engineering/QA, participate in on-call rotations, and drive supportability improvements.