AI GTM Systems Specialist
New
Q
QuorumB2B SaaS
We are currently hiring for this position in the following states: DC, FL, GA, IL, LA, ME, MD, MA, MI, MO, NE, NJ, NC, OH, PA, SC, TN, TX, VT, VA, WVFull-TimeMiddle
SalaryOn target earnings starting at $120,000, increasing based on experience
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Job Details
- Experience
- 1–3 years of hands-on experience building or operating AI/ML applications and LLM agentic workflows, coupled with 1–5 years in RevOps, Marketing Ops, or Sales Ops
- Required Skills
- PythonSalesforcePrompt Engineering
Requirements
- 1–3 years of hands-on experience building or operating AI/ML applications and LLM agentic workflows.
- 1–5 years of experience in RevOps, Marketing Ops, or Sales Ops within a B2B SaaS environment.
- Proficiency with LLM APIs (Anthropic, OpenAI) and prompt engineering.
- Experience with basic Python, webhooks, and modern automation tools (Zapier, Make, n8n).
- Familiarity with platforms like Clay, Salesforce, and Marketo.
- Experience working with Claude Code and MCP connectors.
- Knowledge of email deliverability dynamics, SPF/DKIM/DMARC, and compliance standards (CAN-SPAM/GDPR).
- Ability to analyze ROI through conversion rates and pipeline creation metrics.
- Strong verbal and written communication skills to bridge the gap between technical and non-technical stakeholders.
Responsibilities
- Build and maintain intelligent AI agents across the customer lifecycle, including campaign ideation, audience discovery, and competitive intelligence.
- Manage AI SDR outbound execution, including prospect list generation, waterfall enrichment, sequencing, and meeting hand-offs.
- Design prompt templates, tool definitions, and RAG pipelines using frameworks like Claude Code, Claude Agent SDK, and MCP connectors.
- Implement production guardrails, PII protection, and monitor infrastructure for email deliverability and regulatory compliance.
- Analyze performance experiments and track KPIs such as pipeline generation and AE time saved to optimize system outputs.
- Partner with Sales, Marketing, and CS teams to translate operational needs into AI initiatives and user enablement documentation.
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