https://share.descript.com/view/Jc8JIXFy5kA

TL;DR:

• About Us: We just raised $1.2M to build AI that helps private equity fix their #1 challenge: making better decisions on their executive talent, ultimately maximizing financial returns. Traction's been insane, we landed 6 paid pilots with some of the largest PEs in the US representing $100B+ in managed assets with a clear path to $1M ARR in the next 18 months. Our team and backers are world-class experts the field. Product is built, hardened, and powering our customers' most critical human capital decisions.
• Our Product:
  1. Talent Science methodology built on decades of expertise in the space
  2. Company Memory Brain compounding with every new company, role, & candidate
  3. AI File ingestion and analysis pipeline for board decks, IC memos, interview transcripts, etc..
  4. Agentic Workspace pulling from all this data to perform tasks that was previously done by human consultants for $25K-$50K and months of work - at the same quality bar.
• Who You Are: Senior Fullstack dev with exposure to genAI and excited to join a startup
• Stack: React, AWS, S3, postgres, Infrastructure as Code, Lambda.
• Location: Based in Brussels (ideally), open to remote in major EU cities ideally accessible by train from Brussels
• Compensation: Cash-to-equity ratio for compensation is a sliding scale you can choose

If you want to build the vertical AI platform that becomes essential infrastructure for executive hiring—at a company where your technical decisions matter, your code ships immediately, and your equity stake reflects genuine founding-team ownership—let's talk.

Read below and start the Application Process in ~10min:

**https://www.videoask.com/fxlu4futy**

About the Role

You'll own the entire Team Theory platform that is already in production with paying customers.

You'll work directly with the founders to build the technical foundation that supports our expansion from pilots to full enterprise deployment.

What You'll Own

• Make our pilots unquittable. In 6 months, every current customer should say "I can't see myself doing this work any other way." You'll build the bespoke workflows and integrations that embed us into their daily process (Claude/GPT integrations, fund and portfolio memory infrastructure, Portfolio Talent dashboards) so that Team Theory becomes how they work, not a tool they try.
• Scale from $50K to $1M ARR without breaking anything. Zero critical bugs or outages during our pilot-to-contract conversion window. Platform reliability and performance that PE firms trust with their most sensitive candidate and company data. SOC2-ready security posture maintained throughout.
• Build the portfolio-deployable product. Our current product serves PE Talent Partners at the fund level. The 100x growth unlock is making Team Theory usable by the portfolio companies themselves. You'll architect and ship the multi-tenant product and pricing infrastructure that lets us expand from a handful of fund-level users to hundreds of portco users per customer.
• Keep infrastructure proportional to the business. You own our AWS cost profile and make decisions grounded in unit economics. When Lambda costs spike, the answer isn't a Kubernetes migration—it's optimizing agent execution, decomposing tasks, or rethinking the UX for shorter-lived interactions. You think about what we charge per user and whether our complexity is justified at this stage.