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Trigger is creating the brain behind 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, with social and marketing as the natural extensions.

• A venture studio (Builders) with a proven track record in building AI‑native startups from the ground up.

• Europe’s most successful social‑media‑driven companies as design partners.

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.

You’ll be the architect of meaning: designing how creative data becomes structured knowledge, how that knowledge learns, and how it translates into creative foresight.

This is one of the hardest problems in applied AI: context engineering at scale across multimodal data. You’ll build systems that understand why stories resonate — from visual hooks to audio emotion to narrative structure — not just what happened.

You’ll partner closely with Federico Motta, who brings deep expertise in content behavior, narrative psychology, and audience intelligence. Federico brings the why; you’ll build the how.

• 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.

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

Your mission: evolve it into a thinking system. Data → Context → Understanding → Prediction.

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?"

You won’t just build software, you’ll design how machines understand storytelling.

• 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.

• 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.

Most tools measure what already happened. Trigger predicts what will happen next, and why.

This is category creation: We’re not building a better analytics tool. We’re building the cognitive layer that sits between creative intuition and data, a new way for brands to understand their audiences.

The technical challenge is extraordinary: Context engineering at scale across multimodal data (video, images, audio, text) is one of the hardest unsolved problems in applied AI. You’ll design systems that understand storytelling psychology — visual hooks, emotional tone, narrative structure — not just metrics. And you’ll ship it as a beautiful, fast web product.

The market timing is perfect: $2.2B → $10.3B market growth, validated customer pain (78% "hair‑on‑fire" score), committed design partners, and Builders Studio backing.

The upside is massive: Co‑founder equity, path to €1M ARR in Year 1, and the chance to define how an entire industry thinks about creativity.

If you’re fascinated by the intersection of AI, creativity, and cognition, this is a rare opportunity to build something that redefines how the creative world works.

This is not just an AI engineer role; it’s a context systems designer, someone who architects meaning from creative chaos.

• Frontend: Next.js, TypeScript, Tailwind/React

• Backend: Typescript or Python (FastAPI), Node.js, tRPC

• AI Layer: LangGraph / LangChain, OpenAI / Anthropic models

• Data Layer: Weaviate / pgvector / Pinecone, Neo4j / PostgreSQL

• Infra: Vercel, Supabase, Railway, Cloudflare or similar

Federico brings:

• Behavioral insight (psychology of content performance)

• Creative logic (why audiences respond to stories)

• User empathy (deep understanding of social media strategists' pain)

• Rapid prototyping (functional OAuth integrations, clustering scripts)

You’ll bring:

• Structured intelligence (data pipelines, graph architecture)

• Scalable systems (production‑ready infrastructure)

• AI orchestration (RAG, embeddings, multimodal reasoning)

• Technical leadership (team building, engineering culture)

Together: Creative intuition + Technical rigor = Cognitive layer for creativity

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.