Top Artificial Intelligence Operations & Support Jobs

Improves and scales healthcare care-delivery and coordination workflows by mapping processes, identifying bottlenecks, redesigning operations, and documenting SOPs. Defines KPIs, translates operational improvements into data and engineering requirements, partners with product and technical teams, supports tool rollouts, and analyzes outcomes. Requires strong process improvement, analytical, documentation, and cross-functional collaboration skills, ideally in healthcare delivery or a high-growth environment.

Supports the administration, maintenance, troubleshooting, and user support of SharePoint and enterprise collaboration platforms. Manages sites, permissions, accounts, security groups, performance monitoring, documentation, and Microsoft 365 integrations. Resolves Windows, OneDrive, and access issues while providing customer-focused assistance. Participates in testing updates, escalates complex problems, and follows up with users. Requires two years of SharePoint administration experience, familiarity with Microsoft 365 and directory services, and the ability to obtain a public trust.

Own Rebar’s revenue operations function across Marketing, Sales, Customer Success, and Finance. Manage HubSpot as the revenue system of record, integrate the GTM technology stack, maintain data quality, define funnel stages and attribution, run forecasting, planning, commissions, deal desk processes, renewals, and customer handoffs. Build trusted ARR, pipeline, conversion, CAC, and NRR reporting while documenting process changes and enabling GTM teams.

The role involves cultivating customer relationships, managing sales and operations, and providing product insights to drive company progress.

Lead Casa’s Austin home-services operation, owning service delivery across handymen, concierge teams, and vendor partners. Build dashboards and operating systems to improve completion, quality, cost, productivity, and homeowner satisfaction. Recruit and manage third-party vendors and frontline teams, resolve service failures, improve processes, and uphold home-access, safety, and trust standards. The role requires hands-on field involvement, independent project ownership, stakeholder management, and flexible availability for customer needs.

Own technical support for enterprise SaaS customers by triaging and resolving complex issues, especially SSO and SCIM problems. Investigate logs, APIs, and browser tools; communicate status to Customer Success and Engineering; and manage escalations through resolution. Build runbooks, decision trees, and automation using AI tools to improve support scalability and enable self-service. Participate in customer troubleshooting calls and continuously improve support processes.

Conduct market, customer, competitor, and partner research; synthesize strategic recommendations; support financial modeling, reporting, operational processes, customer success, partner relations, product demos, onboarding, and fundraising. Collaborate closely with operations leadership and founders on high-impact company initiatives in an in-person startup environment.

Manages a 10-person Denver office and supports the CEO with calendar, inbox, travel, follow-ups, personal logistics, events, onboarding, supplies, facilities, and office operations. The role requires maintaining a welcoming, functional workplace, coordinating repairs and events, using AI tools and automations, and supporting activities across Focused offices as responsibilities expand.

Own customer-facing operations across data suppliers and AI labs, including activation, engagement, onboarding, contract and platform issue resolution. Build trust through customer conversations, coordinate internal blockers, and convert recurring feedback into improved processes, platform capabilities, communications, and lightweight workflow systems. The role requires strong judgment, organization, follow-through, CRM familiarity, and comfort working independently in a fast-paced startup environment.

Execute cross-company operational initiatives, support recruiting, conduct research and analysis, coordinate projects with partners and vendors, build processes, and identify AI and automation opportunities. The role requires ownership, resourcefulness, organization, strong communication, and comfort with ambiguity and rapidly changing priorities in an early-stage company.