Top Artificial Intelligence Jobs

As a Technical Account Manager at mabl, you will manage relationships with enterprise customers, guide their use of mabl's testing platform, troubleshoot implementation issues, and advocate for their success internally.

Lead electrical design and coordination for industrial power projects (LV/MV/HV up to 500kV). Develop scopes, budgets, one-line diagrams, protection/PLC cabinets, grounding, MCCs, cable schedules, and network architectures. Perform load flow, short circuit, coordination, and arc flash studies using SKM or ETAP. Mentor junior staff, support commissioning/troubleshooting, prepare specifications, and ensure code compliance.

Lead Riot's multi-discipline data center engineering organization (mechanical, electrical, controls), set technical standards and QA/QC, approve designs at key milestones, oversee consultants and vendors, develop engineering talent, and represent engineering in cross-functional and executive decision-making.

The Sales Enablement Director at Skillsoft leads scalable programs to enhance solution-selling behaviors across sales teams, focusing on performance improvement and manager enablement.

Lead enterprise application engineering delivery and operations across front-office, back-office, and employee platforms. Ensure stability, scalability, security, and alignment to business outcomes while driving simplification, automation, AI-enabled practices, lifecycle management, governance, and stakeholder value realization. Build and develop a high-performing engineering organization.

The Senior Solutions Consultant will lead implementations of AI/ML solutions for health insurance clients, develop sales resources, and provide technical direction during projects.

Hunter-style senior SaaS sales role to build and own a pipeline for a new workers' compensation predictive analytics product. Lead full sales cycle—discovery, demos, proposals, closing—selling into carriers, TPAs, brokers, MGAs, and self-insured employers. Partner with product and customer success, provide market feedback, and exceed annual sales targets.

Manage and develop a team of 6-9 enterprise Account Executives, coach sales strategy and pipeline management, recruit and retain top talent, lead complex contract negotiations, serve as executive sponsor on enterprise deals, maintain product and competitive knowledge, collaborate cross-functionally to secure large engagements, and drive quota attainment and revenue growth for higher education accounts.

Lead development of a Semantic Brain: map raw event logs to industry ontologies, build concept/identity-anchored graphs, design reward extraction and off-policy evaluation, deploy agentic LLM orchestration and scalable data pipelines to enable autonomous enterprise decisioning.

Sell Qualtrics XM to C-suite and senior leaders through prospecting, demos, on-site presentations, and consultative closes. Drive net-new revenue and expand accounts, build territory plans and forecasts, and pursue continuous training and enablement. Collaborate cross-functionally and travel as needed.

Design, build, and maintain security products and infrastructure: real-time detection engines (Flink/Kafka), high-performance APIs (Go/Node.js), streaming analytics, Kubernetes at hyperscale, and petabyte-scale data pipelines. Lead technical designs, collaborate with security teams, and mentor junior engineers.

Design and build real-time security detection engines and streaming analytics using Apache Flink and Kafka. Develop high-performance security APIs and microservices in Go and Node.js, architect Kubernetes-based security solutions, and build petabyte-scale data pipelines. Lead technical design, collaborate with security teams, and mentor junior engineers.

Design, implement, and maintain large-scale datacenter and global backbone networks. Diagnose and resolve complex network issues, automate provisioning and compliance with Python/Go/Salt, perform capacity planning, lead maintenance and migrations, run proofs-of-concept, and produce network documentation, runbooks, and BOMs while mentoring team members and coordinating incident responses.

The Sr. Data Scientist will collaborate on clinical projects, translate data into actionable insights, and ensure study compliance, requiring advanced statistical computation skills.

Lead and mentor a team of 7-12 customer success professionals to ensure operational excellence, drive customer satisfaction, resolve high-urgency escalations, implement KPIs, champion process improvements, collaborate cross-functionally, and foster client relationships while using data to improve team performance.

Design and re-architect the Identity systems at Dropbox to support multi-product capabilities, mentor junior engineers, and ensure software excellence.

Lead vision and execution for Dropbox's next-generation design system and experience platform. Build reusable patterns, components, tokens, accessibility standards, and operating models to scale product quality across web, mobile, desktop, and AI experiences. Partner with product, engineering, research, brand, and leadership to drive adoption, governance, measurement, and high-fidelity front-end implementation while managing and developing a multidisciplinary team.

The role involves defining reliability strategies, leading initiatives across teams, enhancing monitoring and incident response, and mentoring engineers at Dropbox.

The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.

The Solutions Data Engineer will manage data integrations end-to-end, utilizing FloQast's Data Platform and Data Studio to connect source systems and transform data for reliable outputs across applications.