AI GTM Systems Manager jobs in United States
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Quorum Software · 4 hours ago

AI GTM Systems Manager

Quorum is a fast-growing software company that provides workflow software and information services for government affairs professionals. The AI GTM Systems Manager will be responsible for building, deploying, and scaling production-grade AI agents to drive revenue across the B2B SaaS customer journey, while working closely with sales and marketing teams to automate workflows and enhance efficiency.

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Responsibilities

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, QBR 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/HubSpot, 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 LangChain, LlamaIndex, 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

Qualification

AI/ML applicationsLLM frameworksAPI integrationGTM platformsPythonPrompt engineeringRAG systemsWorkflow automationJavaScript/TypeScriptB2B sales processesSoft skills

Required

1+ years of hands-on experience building and deploying AI/ML applications, LLM-based systems, or agentic workflows
5+ years in operations roles (RevOps, Marketing Ops, Sales Ops, or MarTech), preferably in B2B SaaS environments
Basic proficiency in Python and experience with LLM frameworks (LangChain, LlamaIndex, or similar)
Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and prompt engineering
Experience building RAG systems and working with vector databases
Proficiency with API integration, webhooks, and workflow automation tools
Familiarity with JavaScript/TypeScript for front-end tooling is a plus
Working knowledge of GTM platforms (Salesforce, Marketo) and automation tools (Zapier, Make.com, n8n)
Understanding of B2B sales and marketing processes, lead lifecycle, and revenue operations fundamentals
Ability to translate technical concepts for non-technical stakeholders and gather requirements from GTM teams

Preferred

Experience shipping production agentic systems or AI-powered SaaS products
Background in software engineering, data engineering, or MLOps
Experience with evaluation frameworks (RAGAS, LangSmith, etc.) and LLM observability tools
Prior consulting or embedded experience with revenue teams
Certifications in LLM development, AI engineering, or major GTM platforms
Contributions to open-source AI projects or technical writing about agentic systems
Proficiency in speaking and writing English with the ability to communicate effectively and professionally with all team members

Benefits

Flexible Paid Time Off
Paid Company holidays plus additional company-wide days off for team members to rest and recharge
Four Day Weekends for President’s Day, Memorial Day, Fourth of July and Labor Day
Free Subscription to the Calm App
Free Subscription to LinkedIn Learning to support professional development
Invest in Yourself Days - one designated day per quarter is dedicated to your professional development!
One-time Work from Home Stipend
401k match
Choice of trans-inclusive medical, dental, and vision insurance plan options
Virtual and in-person team events
Bright sunlit open office concept with your own dedicated desk (if you want it)
Inclusion & Diversity Affinity Groups to support belonging
12 weeks paid parental leave

Company

Quorum Software

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Quorum Software is a leading provider of energy software worldwide powering growth and profitability for energy businesses by connecting people, workflows, and systems with decision-ready data.

Funding

Current Stage
Late Stage
Total Funding
unknown
2019-02-26Acquired

Leadership Team

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Gene Austin
Chief Executive Officer
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Corey House
Chief Technology Officer
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Company data provided by crunchbase