CTO & Co-Founder

CTO & Co-Founder

Builders Rotterdam, South Holland, Netherlands

Trigger is creating the brain behind a content strategy: an AI‑driven analytics and intelligence platform that uses contextual and behavioral data to help teams uncover what's working, why it's working, what to publish next, and ultimately grow top‑performing social media channels.

Our success is built on three pillars: a team that approaches problems through a cognitive and psychology‑first lens, a venture studio (Builders) with a proven track record in building AI‑native startups from the ground up, and a deep focus on creative content intelligence.

About the role

We're looking for a full‑stack AI Co‑Founder / CTO to design and build Trigger's cognitive engine, the system that turns creative behavior into understanding.

You’ll own the entire stack: from multimodal AI (processing video, images, audio, and text) to web architecture (frontend, backend, data pipelines) to production deployment. This isn’t just ML/LLM engineering or just web development. It’s both, deeply integrated.

What you’ll own

• Architecture & systems: Define Trigger’s AI and data architecture — from multimodal ingestion to the contextual reasoning graph.
• AI & data modeling: Build learning loops that explain why creative works and what will work next.
• Context engineering: Transform unstructured creative data into structured, queryable knowledge — the hardest and most critical technical challenge.
• Infrastructure: Design scalable pipelines for text, image, and audio data with real‑time retrieval and insight generation.
• Product engineering: Turn prototypes into production systems and lead the development of the first MVP.
• Team & culture: Hire, mentor, and inspire a small team of sharp builders. Establish the culture of technical excellence and curiosity.
• Strategic tech leadership: Own Trigger’s technical differentiation, scalability, and investor readiness.

What you’ll build

Trigger already analyzes creative data, clusters content patterns, and surfaces early insights.

Core components

• Context Graph: A living memory connecting creative assets, audience signals, and performance drivers.
• Insight Engine: A reasoning layer that converts data into causal understanding — “why it worked.”
• Predictive Models: Forecast creative performance and simulate audience response.
• Creative Copilot: An interface that helps strategists ask, “What should we make next?”

What we’re looking for

• Full‑stack AI builder: You own the entire web stack AND the AI layer (multimodal embeddings, RAG, inference). You’ve shipped end‑to‑end AI products where the intelligence and interface are inseparable.
• Context engineering: You excel at the hardest problem in applied AI — translating qualitative creative patterns (visual hooks, emotional tone, narrative structure) into structured, learnable systems. You understand RAG systems, vector databases, and semantic reasoning.
• Hands‑on builder: You code, prototype, and iterate fast. You’re comfortable in ambiguity and love early‑stage chaos. You ship MVPs in weeks, not months.
• Data architect: Experience building or scaling systems that handle structured + unstructured data at scale. You know when to use graphs vs vectors vs relational stores.
• Creative empathy: You appreciate storytelling and design as signal and structure, not just decoration. You get excited by the psychology of why content works.
• Leadership DNA: You’ve led small technical teams or been the go‑to person for complex builds in startup or venture settings. You know how to recruit and inspire talent.
• Ethical & compliant: You know how to build responsibly: transient data, secure APIs, and GDPR‑aligned pipelines. You design with privacy by default.

Ideal background

• 5+ years in full‑stack / AI engineering, you’ve built both the web application (frontend/backend) AND the AI systems (multimodal embeddings, RAG, inference) in production.
• Experience shipping AI products with multimodal capabilities (video, image, audio, text processing at scale).
• Proficient with Python (FastAPI, ML libraries), TypeScript/Next.js, modern cloud infrastructure (AWS/GCP), and data tooling (vector DBs, graph databases) or similar.
• Strong understanding of context engineering: turning qualitative insights into structured, learnable systems.
• Excited by narrative intelligence, creative systems, and category creation.
• Frontend: Next.js, TypeScript, Tailwind/React
• Backend: Typescript or Python (FastAPI), Node.js, tRPC
• Infra: Vercel, Supabase, Railway, Cloudflare or similar

How to apply

Show us what you’ve built — code, experiments, prototypes, or products. Tell us why this problem matters to you and what you’d build if you could rethink creative intelligence from scratch.

No cover letter theater, just a real conversation about building something new.

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