
Revenue Operations AI Specialist
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Design, develop, and implement AI agents and automated workflows to enhance lead routing, deal execution, renewals, and customer success processes.
• Automate intricate revenue tasks including pipeline forecasting, contract review assistance, and CRM data enrichment, ensuring clear human review checkpoints.
• Provide Account Executives and Account Managers with deal notifications, qualification and coaching workflows, as well as win/loss insights.
• Oversee HubSpot administration, configuration, and data hygiene comprehensively across Marketing Hub, Sales Hub, and Service Hub.
• Uphold data standards, deduplication, field governance, lifecycle stages, and pipeline definitions.
• Develop and maintain data models, prompt libraries, and knowledge bases that support revenue AI tools.
• Deliver leadership with a real-time revenue command center, offering forecast and risk insights.
• Monitor and report on ARR, pipeline coverage, conversion rates, CAC, and net revenue retention.
• Establish evaluation benchmarks for live revenue AI agents and track accuracy and performance post-launch.
• Adhere to data governance and security protocols; ensure that protected health information and personally identifiable information are excluded from GTM AI tools and model training.
• Document agents and workflows to maintain transparency, auditability, and comprehensibility.
• Coordinate alignment among Sales, Marketing, Customer Success, Product Marketing, and Finance on shared definitions, processes, and reporting.
• Manage cross-functional RevOps and AI projects in Jira from intake and prioritization to delivery.
• Train and assist GTM teams on new tools and workflows to promote adoption.
• Perform additional duties as needed.
• 3–5+ years of experience in Revenue Operations, Sales Operations, or Marketing Operations, preferably in B2B SaaS.
• Extensive fluency in HubSpot — configuration, administration, reporting, and workflow automation — including practical experience with Marketing Hub.
• Proven experience in building, deploying, and maintaining AI workflows or agents within a production business environment.
• Strong understanding of SaaS business models, the B2B revenue funnel from lead generation to renewal, and essential metrics such as ARR and CAC.
• Data-driven mindset with a keen focus on data integrity, privacy, and compliance.
• Excellent diagnostic and troubleshooting skills, along with an analytical approach to problem-solving.
• Effective written and verbal communication skills, including the ability to convey technical concepts to non-technical colleagues.
• Adaptability to work cross-functionally in a dynamic and fast-paced environment.
• Familiarity with Jira for managing cross-functional initiatives.
• Experience with sales intelligence or enrichment tools like Clay or Apollo.io.
• Background in a GTM organization selling to government, public sector, or nonprofit entities, or knowledge of these sectors’ data sources.
• Previous experience in establishing a GTM or revenue dashboard.
• Working knowledge of prompt engineering, AI evaluation techniques, or low-code automation tools.
• Willingness to travel nationwide, up to 10% annually.
• Ability to travel nationwide, up to 10% annually.
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