Top Artificial Intelligence Operations & Support Jobs

Own and scale Teton’s global go-to-market infrastructure across marketing, sales, business development, account management, and customer success. Responsibilities include managing HubSpot and revenue systems, forecasting, analytics, territories, quotas, compensation, deal desk processes, lifecycle operations, market launches, and RevOps team development. The role requires building scalable processes and systems across multiple countries, verticals, and enterprise SaaS-plus-hardware sales motions.

Build and lead DriveNets’ advanced support organization for AI Factory deployments. Hire Tier 3 engineers, establish support tiers, SLAs, escalation paths, on-call operations, and knowledge management. Own critical multi-vendor incidents, customer communications, RMA strategy, diagnostics, post-incident reviews, and collaboration with AMD and R&D. Shape support product requirements, oversee customer onboarding, track service-health KPIs, and improve resolution speed, fault pinpointing, and no-fault-found rates.

Provide phone-first customer support to insurance agents and policyholders through calls, email, and chat. Resolve service and billing inquiries, maintain quote files and CRM notes, assist with onboarding and account setup, guide users on tools, and escalate recurring feedback. The role also contributes to evolving customer service processes and playbooks in a fast-growing startup.

Build and manage the go-to-market operating foundation, including funnel stages, lead routing, CRM strategy, revenue technology, account-based marketing support, attribution, pipeline reporting, forecasting, and leadership reporting. The role partners across Marketing, Business Development, Operations, and Finance to improve commercial data quality and connect deals through contracting and revenue.

Process sales orders accurately by validating customer accounts, part numbers, pricing, shipping requirements, quality clauses, and terms. Resolve order discrepancies with customers, research information across systems, maintain data integrity, and collaborate with Sales, Accounting, Legal, Quality, and Engineering. Serve as a key contact for purchase-order questions while meeting deadlines in a fast-paced environment.

Responsible for architecting and managing nEye's supply chain, including vendor engagement, materials planning, logistics, and systems implementation for a hardware company.

Supports finance operations by processing invoices, purchase orders, expenses, company cards, vendor records, and monthly close activities. Manages NYC office logistics, supplies, deliveries, guests, equipment, vendors, and office relocation planning. Assists with onboarding, personnel records, recruiting logistics, and team events. Improves internal processes by creating workflows, checklists, trackers, and documentation.

Coordinate fact witnesses before, during, and after trials for the U.S. Attorney’s Office. Responsibilities include arranging travel and lodging, managing appearance schedules, providing courtroom orientation, preparing reimbursement documentation, reconciling travel accounts, maintaining files and databases, and coordinating with attorneys, courts, probation, marshals, and investigative agencies. The role also requires handling special witness circumstances, preparing correspondence and forms, and applying legal procedures and terminology.

Manages front desk and office operations while supporting HR administration, onboarding and offboarding, employee records, payroll coordination, HR systems, benefits providers, and confidential documentation. Coordinates vendors, schedules, meetings, deliveries, and administrative projects; resolves employee and provider issues; tracks follow-ups; and recommends workflow improvements. Requires strong organization, communication, discretion, and the ability to work independently across multiple priorities.

Own and scale Kong’s partner operations model across planning, deal registration, attribution, workflows, compensation, cloud marketplaces, data quality, and AI automation. Serve as a strategic advisor to ecosystem and sales leadership, manage partner deal execution across resale, referral, and marketplace routes, define operating rules and KPIs, and build scalable playbooks, systems, and a high-output operations team.