Top Artificial Intelligence Operations & Support Jobs

Own and organize the product documentation library; author internal and client-facing documentation across the litigation lifecycle; produce procedural guides, decision trees, and visual workflow diagrams; write quick-turn responses to client questions; edit and polish release notes and translate developer updates into client-centric value propositions.

The Bid Manager will serve as the contact point for executives, organize meetings, handle correspondence, produce reports, and manage CRM activities.

This role involves executing cross-functional projects, driving partnerships, managing deployment efforts, and supporting communications with investors and external parties.

Support the CEO and manage office operations: own calendar and inbox workflows, coordinate meetings and travel, prepare briefings, protect focus time, manage office logistics, onboarding/offboarding, recruiting coordination, team events, and assist with an office move. Collaborate with ops to build lightweight systems and reduce friction in a fast-paced deep-tech startup. In-office in San Francisco, five days per week.

As Operations Lead, you will oversee the discovery of new GenAI opportunities, streamline operations, improve processes, and manage client interactions, while collaborating with cross-functional teams to ensure effective solution deployment.

The Founding Ops role involves leading recruitment, managing company finances, handling legal operations, and driving special projects at Conversion.

Own and optimize the GTM tech stack and AI agent infrastructure, build reliable revenue reporting and dashboards, improve lead management, pipeline hygiene, forecasting, and territory processes, and partner cross-functionally to scope and implement scalable RevOps solutions that drive commercial performance.

Join Miso Robotics to innovate in the food service industry with advanced automation technology, contributing across various disciplines.

Design, scale, and operate a global human-in-the-loop evaluation workforce. Own hiring pipelines, vendor strategy, workforce planning, QA, throughput and SLA tracking, inter-rater reliability, escalation and retraining workflows, and partner with product, engineering, and data teams to enable large-scale evaluation and clean data production.

Manage Tier 1 customer cases to meet SLAs: assign priorities, maintain accurate customer information, provide timely updates, troubleshoot or escalate issues, collaborate with engineers and sales engineering, and contribute to the knowledge base with technical guides and how-to articles.