Top Artificial Intelligence Operations & Support Jobs

Supports the CEO, Chief of Staff, and executive leadership through ad hoc business analysis, special projects, executive meeting preparation, internal events, presentations, and follow-up tracking. Maintains the internal knowledge base and develops content strategies for AI-enabled information retrieval. Evaluates AI tools, creates repeatable workflows, and helps teams adopt practical AI capabilities while managing competing priorities and confidential information.

Run operations for an AI community and conference business while supporting an early-stage venture fund. Own operating plans, metrics, budgets, forecasts, P&L, sales, marketing, event production, partnerships, and cross-functional execution. Translate founder priorities into action, prepare decisions, close follow-up loops, and drive ambiguous projects from concept through completion. The role is broad, in-person, and designed to develop into broader operating leadership.

Own Vercel’s go-to-market planning models, including headcount capacity, staffing ratios, ramp curves, attrition, productivity, quota methodology, and pipeline coverage. Develop consumption-based quota frameworks, track plan-versus-actual performance, model investment scenarios, and provide recommendations to senior leadership. Partner with Finance, Recruiting, and Data & Analytics to validate assumptions and support quarterly planning.

Leads global revenue operations, forecasting, sales compensation, planning, CPQ, deal desk, order management, pipeline governance, reporting, and partner operations. Owns forecast accuracy and operating cadence, drives automation and AI adoption, partners with Finance, Legal, Sales, Marketing, and executive leadership, and leads a global team. The onsite Palo Alto role requires extensive revenue operations experience, enterprise SaaS or AI experience, executive communication, and expertise with Salesforce and analytics tools.

Avante invites exceptional candidates to submit a general application for future opportunities across engineering, product, design, sales, customer success, marketing, operations, finance, and people teams. Ideal candidates have B2B SaaS experience, use AI tools daily, own outcomes end to end, communicate clearly, and thrive in fast-moving startup environments. Candidates must be willing to work from the Seattle or New York office four days per week.

Own and improve recurring Business Development workflows, including deal-process coordination, CRM management, reporting, dashboards, meeting operations, leadership materials, and cross-functional initiative tracking. The role will implement process improvements, AI tools, and automations while maintaining data quality and documentation. It partners with BD leadership, Product, Tech, BizOps, and R&D to improve operational efficiency and support deal-flow execution.

Provide first-line technical and non-technical support through email, phone, chat, and video. Manage and resolve L1 tickets, troubleshoot system behavior and configurations, document solutions, explain technical issues clearly, and escalate complex problems to L2 or engineering teams. The role requires shell scripting, Python, SQL, REST APIs, GraphQL, and customer support experience, with possible weekend and allocated-shift availability.

Manage technical operations supporting critical applications, infrastructure, internal and external helpdesks, and major IT initiatives. Partner with DevOps and SecOps on cloud infrastructure, security, monitoring, logging, incident management, SLA compliance, and alerting. Establish operational metrics, staffing coverage, escalation processes, and reporting while leading and mentoring a high-performing team in a growing SaaS environment.

Supports complex, escalated data and data product issues from Level I teams. Researches cases, identifies trends using metadata, determines resolutions, coordinates cross-functional resources, prioritizes tickets, improves workflows, and communicates outcomes to internal stakeholders and clients. The role requires ownership of issue resolution, effective collaboration with Client Service, Product, Sales, and Data Operations, and occasional client meetings.

Provides first-line support for Canoe’s production clients, handling inquiries, troubleshooting, training, and product education. The role coordinates with Product and Data teams to resolve bugs, communicate feedback, improve workflows, maintain Help Center content, and support AI adoption initiatives. Success requires strong client focus, analytical problem-solving, technical communication, collaboration, and interest in AI-enabled support operations.