Top Artificial Intelligence Jobs

The role involves designing and scaling ML infrastructure for LLMs, including building training pipelines and deploying models in cloud and on-prem environments. Collaboration with engineers and managing GPU/TPU workloads is key.

Serve as domain expert for accounting firms: lead discovery, run demos, configure and implement Instead, drive adoption from pilot to go-live, train staff, collect product feedback, and stay current on US tax law and filing requirements.

Lead radio network optimization tasks for mobile operators: KPI trend analysis, worst-cell/root-cause analysis, parameter audits, coverage and capacity tuning across 2G/3G/4G/5G (including VoLTE), drive-test and trace analysis, SIP troubleshooting, and reporting to customers and project management.

Responsible for driving revenue growth by managing customer relationships, generating new business, and collaborating with product teams to align offerings with customer needs. Requires 4+ years in quota-carrying roles, particularly in B2B fintech or financial software.

Responsible for developing algorithms for circuit board design automation and simulation integration, enhancing hardware engineering processes. Requires strong mathematical skills and software engineering fundamentals.

The Video Specialist will develop and execute video strategies for Boldin, create high-quality video content for various platforms, and optimize video ads for performance. This role requires strong creative and analytical skills with the ability to simplify complex ideas into engaging narratives.

Full-cycle Mid-Market Account Executive to own and close high-ACV SaaS deals ($75k+), build North America enterprise motion, drive pipeline from discovery to close, manage pilots and implementations, source some leads, and help scale the AE team. Will engage finance/accounting executives and work closely with founders and cross-functional teams.

Lead and operate the end-to-end customer support organization for drone systems, managing Level 3 engineers and an outsourced Level 1/2 partner. Own KPIs, SLAs, escalations, support automation/AI roadmap, quality audits, staffing, on-call coverage, vendor contracts, and knowledgebase documentation. Act as primary escalation for critical technical incidents and collaborate cross-functionally with Field Ops, R&D, Product, Commercial, and Safety.

Lead end-to-end AI implementations for enterprise legal and compliance teams: deconstruct workflows, translate legal documents into actionable AI logic, onboard and train users, troubleshoot strategic and technical blockers, feed product insights to engineering, and build repeatable playbooks to scale deployments.

Create video content, present at webinars and conferences, write sample code and documentation, review others' content, and respond to audience questions to educate and promote the product.