AI GTM Systems Manager

Based in Washington, D.C., Quorum is a fast-growing software company and is the leading provider of workflow software and information services for government affairs professionals across the corporations, non-profits, associations, and governmental end-markets. Quorum allows users to manage stakeholder engagement, launch grassroots advocacy campaigns, and track legislative activity at all levels of government, including federal, state and local.

Quorum provides mission-critical solutions to public affairs professionals for their work in Congress, all 50 state legislatures, major U.S. cities, the European Union, and 30+ countries around the globe. Quorum serves over 2,000 customers globally including over 50% of the Fortune 100, and has over 350 team members across the globe.

The AI GTM Systems Manager is responsible for building, deploying, and scaling production-grade AI agents that drive revenue across the entire B2B SaaS customer journey. You will architect and implement agentic systems that automate complex GTM workflows—from account research and personalized outreach to lead qualification, CRM updates, and deal acceleration.

This is a builder role. You will design multi-agent systems, orchestrate LLM APIs, implement retrieval pipelines, and ship tools that directly impact pipeline velocity and revenue outcomes. You own the whole stack: from prompt engineering and tool integration to evaluation frameworks and production monitoring.

Reporting to the Sr. Director of Demand Generation and Marketing Operations, you will be the technical architect translating GTM pain points into scalable AI-driven solutions. You'll work at the intersection of AI engineering and marketing/revenue operations, embedding agents directly into sales and marketing workflows.

The ideal candidate is an AI-first builder with hands-on experience deploying LLM applications, strong technical skills, and enough GTM fluency to understand where agents create leverage.

Build and deploy production AI agents across the customer journey:

• Awareness & Interest:
  Campaign ideation agents, audience discovery tools, micro-persona generators, creative variation engines, competitive intelligence copilots
• Evaluation:
  Account research agents that generate dossiers, problem framing tools, ROI calculators, solution narrative builders, and objection handling libraries
• Procurement:
  Contract redline assistants, security questionnaire automation, stakeholder mapping agents
• Onboarding:
  Implementation planning agents, data checklist generators, timeline builders, day-1 enablement copilots
• Adoption & Expansion:
  Usage monitoring agents, value-moment detectors, Q  prep tools, churn risk flaggers
• Renewal:
  Renewal readiness scoring systems, save-playbook generators, executive briefing automation

Architect and maintain the AI infrastructure:

• Design and implement multi-agent orchestration systems across Salesforce/Hub Spot, Marketo, Salesloft, Slack, and G-Suite
• Build RAG (Retrieval-Augmented Generation) pipelines over product documentation, win/loss notes, content libraries, and CRM data
• Develop prompt templates, tool definitions, and agent workflows using Lang Chain, Llama Index, or similar frameworks
• Implement evaluation frameworks to test agent accuracy, reliability, and output quality
• Build observability dashboards to monitor agent performance, latency, token usage, and cost

Own production operations and scaling:

• Implement safety guardrails, PII protection, and content filtering
• Build role-based access controls, audit trails, and SOC 2-compliant logging
• Manage rate limits, API quotas, and cost optimization strategies
• Establish CI/CD pipelines for agent deployment and versioning
• Create runbooks and incident response procedures for agent failures

Drive measurable impact through data and iteration:

• Define and track KPIs: time-to-first-touch, meeting conversion rates, opportunity creation velocity, AE time saved, pipeline coverage, response SLAs
• Run A/B tests on agent prompts, workflows, and tools
• Analyze agent performance data and iterate rapidly on improvements
• Build feedback loops from end users to continuously improve agent outputs

Partner with GTM teams to identify and prioritize use cases:

• Conduct discovery sessions with Sales, Marketing, and CS teams to identify high-impact automation opportunities
• Scope agent projects with clear success criteria and timelines
• Run pilot programs with frontline users, gather feedback, and drive adoption
• Train teams on how to work effectively with AI agents
• Create documentation and enablement materials for agent usage

• 1+ years of hands-on experience building and deploying AI/ML applications, LLM-based systems, or agentic workflows.
• 5+ years in operations roles (Rev Ops, Marketing Ops, Sales Ops, or Mar Tech), preferably in B2B SaaS environments.
• Basic proficiency in Python and experience with LLM frameworks (Lang Chain, Llama Index, or similar).
• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and prompt…