GTM AI Data Lead

Summary

Join Karbon, a global leader in practice management software, as an AI and LLM-powered GTM Analyst/Lead. This 6-month, full-time position focuses on transforming go-to-market operations using AI. You will leverage AI-powered data analysis and LLMs to optimize conversion levers across various funnels, conduct time studies to improve efficiency, and create a predictive signal layer. Additionally, you will automate insights from various data sources and generate personalized marketing collateral. This role requires hands-on experience with AI, LLMs, and relevant tools, along with a strong understanding of GTM funnels and data analysis techniques. The position offers a competitive salary, excellent benefits, and the opportunity to work with a high-performing team in a collaborative and fast-growing company.

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

Responsibilities

• Use AI-powered data analysis and LLM-enhanced dashboards to identify the most impactful conversion levers across inbound, outbound, and CSQL funnels
• Develop and test LLM-informed hypotheses to improve one ratio at a time (e.g., lead-to-opportunity or 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 (e.g., <1-year vs. 1-year+ healthy accounts)
• Identify repetitive or low-value tasks for automation using AI agents to improve efficiency and focus on high-value activities
• 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

Preferred Qualifications

Proficiency in SQL or Python for data manipulation and AI model integration is plus

Benefits

• Paid Flexible Time Off with an encouraged 3 weeks use per year
• Company paid medical for you and eligible spouse/partner and dependents
• Company paid dental and vision and eligible spouse/partner and dependents
• Fully company funded short and long term disability
• Fully company paid life insurance
• 401(k) with company matching
• Flexible Spending Account
• Up to 8 weeks paid parental leave
• Work-from-home stipend