Karbon

Sales AI Engineer – GTM

Karbon

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $100,000 - $130,000 per year

Job Level

Mid-LevelSenior

Tech Stack

CloudPythonSQL

About the role

  • Use AI-powered data analysis and LLM-enhanced dashboards to identify impactful conversion levers across inbound, outbound, and CSQL funnels
  • Develop and test LLM-informed hypotheses to improve conversion ratios (e.g., lead-to-opportunity, win rates)
  • Collaborate with GTM and RevOps teams to operationalize AI-generated insights for measurable improvements
  • Deploy AI models and LLMs to analyze rep activity and time-to-serve by customer segment and identify repetitive or low-value tasks for automation
  • Unify CRM, call, email, product usage, and enrichment data into an AI-driven predictive signal layer that surfaces intent, fit, and timing
  • Train LLM-based scoring models to enhance account prioritization and sales targeting
  • Use LLMs and embeddings to turn Gong calls, notes, and emails into structured AI-extracted insights
  • Automate AI-generated summaries of objections, next-best actions, and risk signals for pipeline forecasting
  • Deploy AI and LLM tools to automatically generate personalized collateral (emails, decks, and messaging) tailored to prospect profiles
  • Implement AI-driven workflows for prospecting, reactivation, and qualification in platforms like HubSpot and Clay

Requirements

  • Hands-on experience with AI, LLMs, and vector embeddings, including tools like OpenAI API, LangChain, or similar frameworks
  • Proven ability to design, implement, and optimize AI workflows for GTM teams, including predictive modeling and automated insights
  • Strong understanding of data pipelines and unstructured data analysis (e.g., Gong call transcripts, email content) using LLM-based techniques
  • Expertise in applying LLMs for summarization, insight extraction, and next-best action recommendations within GTM contexts
  • Familiarity with AI-powered automation platforms (e.g., HubSpot AI, Clay, or custom GPT-based agents)
  • Deep knowledge of GTM tech stacks (e.g., Salesforce, Gong, HubSpot, Outreach) and experience leveraging AI integrations to extract maximum value from these tools
  • Solid grounding in GTM funnel metrics and the ability to apply AI analytics to improve conversion ratios sequentially
  • Proficiency in SQL or Python for data manipulation and AI model integration is plus
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