Top Artificial Intelligence Operations & Support Jobs

2 Months AgoSaved
In-Office
San Francisco, CA, USA
190K-230K Annually
Senior level
190K-230K Annually
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
Leads sales strategy and revenue operations by supporting GTM planning, territory and capacity design, quota setting, forecasting, commission calculations, workflow automation, and executive decision-making. Partners with sales, finance, and business operations leaders to build scalable systems, processes, analytics, and tools. The role requires strong Excel and SQL skills, project management, executive communication, and in-person work in San Francisco.
Top Skills: Ai AutomationApolloClayExcelGongMetabaseN8NNooksSalesforceSalesforce Custom ObjectsSalesforce DashboardsSalesforce FlowsSalesforce ReportsSalesforce Validation RulesSQLUnifyZapierZoominfo
Reposted 2 Months AgoSaved
In-Office
Sunnyvale, CA, USA
200K-225K Annually
Senior level
200K-225K Annually
Senior level
Artificial Intelligence • Cloud • Software
The Chief of Staff will support the CEO in GTM operations, enhance cross-functional clarity, and act as an external representative for Onehouse, driving company growth through strategic execution and operations management.
Top Skills: Crm SystemsHubspotSalesforce
2 Months AgoSaved
In-Office
New York City, NY, USA
130K-190K Annually
Mid level
130K-190K Annually
Mid level
Artificial Intelligence • Healthtech • Software • Conversational AI
Own customer and internal operations, including implementation tracking, sales-to-deployment handoffs, support processes, operating cadences, metrics, reporting, and AI-enabled automation. Drive enterprise deployments, design scalable workflows, monitor customer health, improve issue resolution, and lead cross-functional operational initiatives. The role partners closely with founders and teams across sales, engineering, implementation, support, and customer success in an in-person New York City environment.
Top Skills: ClaudeHubspotLinearSlackZapier
2 Months AgoSaved
In-Office
San Francisco, CA, USA
140K-180K Annually
Mid level
140K-180K Annually
Mid level
Artificial Intelligence • Machine Learning • Software
Support the CEO exclusively by managing her calendar, travel, inbox, Slack, communications, and preparation for high-stakes meetings. The role requires independent prioritization, polished interaction with investors and executives, document drafting and proofreading, and reliable availability during demanding travel schedules, including occasional evenings and weekends. The assistant will also identify opportunities to automate repetitive tasks and may grow into a strategic executive business partner.
Reposted 2 Months AgoSaved
Hybrid
Seattle, WA, USA
200K-240K Annually
Expert/Leader
200K-240K Annually
Expert/Leader
Artificial Intelligence • Security
Build and lead Yoodli’s Revenue Strategy & Operations function as a strategic partner to the CRO. Own GTM operating cadences, business reviews, territory and coverage design, quota and compensation modeling, forecasting, customer master data, and data-driven revenue decisions. Lead Revenue Systems, hire an Analytics & Insights Lead, and partner across Finance, Deal Desk, Partnerships, Marketing, sales leadership, and founders to scale the revenue organization.
Top Skills: HubspotSalesforce
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2 Months AgoSaved
In-Office or Remote
7 Locations
Entry level
Entry level
Artificial Intelligence • Legal Tech • Professional Services • Consulting
Manage internal revenue operations, pre-sales contract and deal desk processes, and light HubSpot administration. Administer Salesforce for client-facing projects, bridge HubSpot and Salesforce data, and support infrastructure project management and compliance certification efforts such as SOC 2 and ISO. The role requires adaptability, strong communication, proactive execution, and the ability to manage shifting priorities across systems and departments.
Top Skills: HubspotIsoSalesforceSoc 2
Reposted 2 Months AgoSaved
In-Office
Paris, TX, USA
Mid level
Mid level
Artificial Intelligence • Information Technology • Software • Analytics
Supervise and coach a team of 10+ inbound contact center agents, monitor calls, troubleshoot account/product issues, document resolutions, maintain performance targets, update reference materials, and foster team motivation and quality customer service.
2 Months AgoSaved
In-Office or Remote
Palo Alto, CA, USA
Mid level
Mid level
Artificial Intelligence • Cloud • Consulting • Cybersecurity
Supports and enhances the organization’s SharePoint Online intranet and Microsoft 365 digital workplace. Responsibilities include SharePoint administration, content management, user support, troubleshooting, governance, permissions reviews, quality assurance, training, documentation, stakeholder engagement, and adoption initiatives. The specialist also supports migrations, identifies usability improvements, and stays current with Power Platform and AI-enabled Microsoft technologies.
Top Skills: Microsoft 365Microsoft CopilotMicrosoft Power PlatformMicrosoft Sharepoint OnlineMicrosoft TeamsPower AppsPower Automate
2 Months AgoSaved
In-Office
Menlo Park, CA, USA
Mid level
Mid level
Artificial Intelligence • Software • Generative AI
Own forecasting, pipeline analytics, revenue dashboards, GTM technology, data infrastructure, and reporting. Build the company’s AI agent foundation by identifying automation opportunities and deploying production-grade agents across the sales organization. Partner with Sales Operations to maintain data integrity, define pipeline logic, and support forecasting. Design quota models and administer compensation plans while building and leading the Revenue Operations team in an early-stage B2B software environment.
Top Skills: Ai AgentsClaudeLlm Apis
Reposted 2 Months AgoSaved
In-Office or Remote
San Francisco, CA, USA
100K-140K Annually
Mid level
100K-140K Annually
Mid level
Artificial Intelligence • Healthtech • Software • Analytics
Own end-to-end state-level arbitration: research statutes and agency practices, build filing processes and routing logic, encode rules with engineering, produce operator-ready workflows, and own filing volume, win rate, and recoveries for each state.
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