RESPONSIBILITIES
• Build AI agents that scan D2C and e-commerce brand signals (funding, hiring, tech-stack changes) to flag active buying intent.
• Turn those signals into personalized SDR outbound at the account level, not templated blasts.
• Automate the manual GTM work currently done by hand: research, enrichment, sequencing, reporting.
• Build internal copilots and research agents for Sales, Marketing, and Market Research.
• Ship fast, measure against pipeline and reply-rate metrics, iterate weekly.
EXAMPLE PROJECTS YOU'LL OWN
• Signal-to-Sequence agent: ingests funding, hiring, and stack signals for named accounts and outputs a ranked list with a drafted
first touch.
• SDR research copilot: given a company URL, returns an account brief (pain points, detected 3PL/carrier stack, relevant proof
points) in under 60 seconds.
• Outbound QA agent: scores draft outreach against our rules (no generic opener, quantified value in the buyer's numbers, one clear
next step).
• Competitive signal tracker: monitors competitor moves publicly and pushes a summarized digest.
• Internal RAG copilot: over collateral, case studies, and pricing, so SDRs self-serve answers instead of pinging the team.
REQUIRED TECHNICAL SKILLS
• Strong Python. You should be comfortable writing production-adjacent code, not just notebooks.
• Working knowledge of LLM APIs (OpenAI, Anthropic, or similar).
• Prompt engineering fundamentals: few-shot design, structured output, basic evals.
• Bonus if you have experience building or orchestrating AI agents (LangChain, LlamaIndex, or your own framework).
• MCP (Model Context Protocol) fundamentals, or the ability to pick it up fast.
• REST API integration: auth flows, webhooks, rate limits.
PREFERRED QUALIFICATIONS
• A hackathon project, personal build, or open-source contribution involving LLMs or agents. Show us, don't just tell us.
• Exposure to workflow automation tools (n8n, Zapier, Make).
• Exposure to sales or GTM tooling (CRM, sequencing platforms) is a plus, not a requirement.
• Currently pursuing or recently completed a degree in CS or Engineering. Demonstrated build ability matters more than the degree.
WHAT MAKES SOMEONE EXCEPTIONAL FOR THIS ROLE
• Builds before asking permission.
• Treats “it doesn't work yet” as a starting point, not a stop sign.
• Cares whether the output actually gets used by the team, not just whether the code runs.
• Comfortable being handed a business problem instead of a spec.
• Ships an ugly v1 in days over a polished v1 in weeks.
LEARNING & MENTORSHIP
• Direct 1:1 mentorship from a Founding Member & senior leaders.
• Weekly build reviews: what shipped, what moved the metric, what's next.
• Real exposure to enterprise GTM: deal math, ROI modelling, buyer psychology, live deal reviews.
• No layers between you and the person who owns the business outcome.
SUCCESS METRICS DURING THE INTERNSHIP
• Qualified signals surfaced that convert into SDR-worked accounts.
• Reply rate and meeting rate on AI-assisted outbound versus baseline.
• Hours saved per week on manual research and enrichment across the team.
• At least one system running in production, not a prototype, by the end of the internship.
COMPENSATION & PERKS
• Stipend: 35-50k per month.
• Duration: 6 months, starting immediately.
• Full-time conversion possible based on performance on or before 6 months internship duration closure.
• A direct letter of recommendation, plus a real portfolio of shipped, revenue-linked AI systems, not a certificate of participation.
APPLICATION PROCESS
• Apply with your resume and one thing you've built with AI or LLMs. Send a link, not a description.
• Practical AI assignment based on a real ClickPost problem
• Technical discussion, Final discussion & then Offer (No competitive programming rounds.)
• We care more about how you think, build, and how you solve problems.