Tasks

As a Founder’s Associate focused on Go-to-Market, you’ll work at the frontlines of distribution, outreach, and monetization. Your mission: help turn our existing tech assets into real traction by identifying ideal users, engaging them, and testing what converts.

We are a young company founded by repeat entrepreneurs who’ve built startups, launched a VC fund, and supported over 20 early-stage companies across Europe. Now we’re building the foundational data layer for the agentic AI age.

From Day 1, you will:

• Define and refine Ideal Customer Profiles (ICPs) across segments (startups, scaleups, SMEs)
• Research and build lead lists using LinkedIn, web data, and internal signals
• Run structured outbound campaigns (email, LinkedIn, etc.) to test messaging and value props
• Drive cold outreach and first conversations with high-potential prospects
• Help evaluate use cases like competitor discovery, acquisition target sourcing, and market mapping
• Track outreach performance and iterate quickly to improve results
• Support early pricing, conversion, and onboarding experiments
• Collaborate with founders to prioritize sales learnings into product feedback

The ideal outcome of your internship: we close new customers and find a scalable GTM playbook for the revenue stream you own.

This is a fast-paced, results-driven role. If the fit is strong, a follow-up working student or full-time offer is possible.

Requirements

• You are currently pursuing or recently completed a degree in Business, Economics, Engineering, or a related field
• Previous experience in sales, business development, growth, marketing, or customer research is a plus
• Strong written communication skills — you enjoy crafting crisp, persuasive messages and outbound copy
• Confident engaging with prospects and users, even in cold outreach settings
• Structured and analytical thinker — you can track what works and iterate quickly
• Entrepreneurial mindset: proactive, curious, and outcome-driven
• Fluent in English (German is a plus)

Benefits

• Extreme learning curve through direct collaboration with the founding team — ideal preparation for aspiring founders, go-to-market leaders, or early-stage commercial operators
• Exposure to frontier topics like agentic systems, LLMs, embeddings, and structured data infrastructure
• Build a strong portfolio of real deliverables — from ICP definitions and campaign reports to outbound workflows and customer insights
• Ongoing support after the internship with references, warm intros, and career guidance — past interns have gone on to roles at Anthropic, Lakera AI, Speedinvest, Earlybird, Redalpine, and more
• Performance-based financial bonus for every deal you directly help close
• Possibility of a follow-up offer as a working student or full-time team member, depending on fit

This is a voluntary internship for a maximum of 3 months or a mandatory internship (Pflichtpraktikum) as part of a university degree. Please indicate your eligibility in your application.

Remote-first and async-friendly setup — work from anywhere, with full ownership and flexibility.

How to apply

Interested? Just send us your CV and answer the three short questions below and attach the answers as a cover letter. No actual cover letter needed.

1. Why do you want to work with us at this stage, on this kind of problem? (max 150 words)
2. Tell us about a project or challenge you took initiative on. What was your role, and what changed because of you?
3. (Optional) What’s something you've built, sold, or learned recently that you're proud of? (1–2 sentences)

(We review every application personally. Thoughtful answers go a long way.)

We build the data layer for the agentic age.

As LLMs and agents automate more work, they hit a wall: they don’t have the structured, reliable data they need to act. We’re fixing that.

apistemic develops high-signal, machine-usable data infrastructure designed specifically for AI-native applications—where relevance, completeness, and retrieval speed matter most.

We're currently focused on messy but valuable datasets like company intelligence, competitive signals, and acquisition target discovery—turning unstructured web data into structured context for agents, founders, and analysts.

We’ve founded startups, built and run a VC fund, and led 20+ early-stage investments in AI, SaaS, and deep tech. We’ve launched products, scaled data pipelines, and worked hands-on with builders solving hard technical and commercial problems.

If you’re hungry to learn, driven to build, and ready to take real ownership from day one, you’ll feel at home here.