We've built the only self-hosted AI analytics platform delivering complete data sovereignty with enterprise-grade intelligence for mid-market companies.
The Problem We Solve:
• 73% of mid-market data goes unanalyzed
• Cloud AI costs explode at scale
• GDPR/HIPAA compliance makes cloud analytics problematic for regulated industries
• Advanced data science capabilities remain unaffordable for mid-market companies
The Opportunity:
• €2.5B European mid-market — largely underserved by enterprise tools
• 22% annual market growth as companies scramble for AI-driven insights
• GDPR creating a structural advantage for on-premise solutions
What We've Already Built:
• AI-native, near-production codebase powering a working product — not a vision
• Distributed microservices orchestrating 20+ specialized AI agents
• 30+ data connectors with automatic schema discovery
• Auto-generating knowledge graphs and semantic layers
• Advanced data science suite (forecasting, anomaly detection, root cause analysis)
• Kubernetes-native architecture with 15-minute deployment
• Self-hosted LLM delivering near-zero recurring AI costs
We're looking for someone to take adaptrix to the next level — not to build from scratch.
Architecture decisions, security, team building, technical sales, and taking it from product to market leader.
What We Offer:
• Significant equity package (co-founder track available for the right candidate)
• Competitive compensation with meaningful ownership
• Remote-first (EU timezone) with Mallorca HQ — monthly travel expected
• Clear path to scale and grow with the company
We're Open to Different Experience Levels:
CTO / Co-Founder Track:
• 7+ years engineering, with team leadership experience
• Bonus: Previous exit or startup leadership
VP Engineering / Head of Engineering:
• 5+ years engineering, with engineering management experience
• Built or scaled product teams
Founding Engineer:
• 3+ years shipping production software
• Hungry to grow into leadership
For All Roles:
• Strong with backend (Python preferred), databases, cloud infrastructure
• Interested in AI/ML (deep experience not required)
• Excited about ownership and building something meaningful
The Challenge:
Lead (or grow into leading) the technical strategy for our platform. Build the team. Close enterprise deals. Create the moat through integrations, customer success, and technical excellence.
This is for builders who want to own what they build.
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