$120K - 160K a year
Develop and deploy AI-powered LLM workflows and predictive models to improve GTM funnel conversion and automate sales insights.
Hands-on AI and LLM experience with tools like OpenAI API, LangChain, strong understanding of GTM tech stacks, and familiarity with AI automation platforms; SQL or Python is a plus.
Description: • 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 Benefits: • Gain global experience across the USA, Australia, New Zealand, UK, Canada and the Philippines • 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 • Work with (and learn from) an experienced, high-performing team • A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback • Be part of a fast-growing company that firmly believes in promoting high performers from within
This job posting was last updated on 9/23/2025