Chief Information Technology Officer

Chief Technology Officer (CTO) Valuence-AI

Location:

Hybrid / Remote (U.S. REQUIRED)

THIS IS NOT A C2C OPPORTUNITY

Reports to:

Founder & CEO

Valuence-AI is building the first Explainable Valuation Intelligence (EVI™) platform for institutional decision-makers. We combine structured financial logic, regulatory-ready reasoning, and adaptive machine learning to produce defensible, reviewable valuations — not black-box outputs.

Our system doesn’t provide false confidence. It explicitly communicates what it knows, what it doesn’t know, and how it reached its conclusions. Every valuation includes assumptions, logic chains, and traceable reasoning — making mistakes correctable and governance-ready.

We are integrating directly into Loan Origination Systems (LOS) and enterprise workflows to become core infrastructure for valuation governance.

We are now hiring a foundational CTO to architect and scale the next generation of neuro-symbolic valuation intelligence.

This is not a maintenance CTO role. This is an architecture role.

You will design and lead the development of a neuro-symbolic AI platform that combines:

• Neural networks for pattern recognition and probabilistic inference
• Symbolic reasoning engines for structured financial logic
• Constraint-based systems for regulatory compliance
• Explainability frameworks that make reasoning auditable

Your mandate:
Build AI that institutions can defend in court, in audit, and in front of regulators.

• 10+ years in software engineering, ML systems, or AI architecture.
• Deep experience with:
• Neural networks (PyTorch, Tensor Flow, JAX, or similar)
• Graph-based reasoning systems
• Knowledge representation and symbolic AI
• Probabilistic modeling
• Experience building production-grade AI systems.
• Strong understanding of uncertainty quantification and model validation.
• Familiarity with explainability techniques (SHAP, LIME, causal modeling, etc.).
• Experience scaling SaaS infrastructure.

• Experience with neuro-symbolic AI or hybrid reasoning systems.
• Background in fintech, proptech, valuation, or regulated industries.
• Experience building audit-ready AI systems.
• Knowledge of valuation methodologies (DCF, comparable sales, income approach, etc.).
• Familiarity with governance and regulatory compliance frameworks.

• Launch Version 2 of the EVI™ neuro-symbolic engine.
• Deploy LOS-integrated valuation workflows.
• Establish model explainability standards for institutional adoption.
• File at least 1–3 core architecture patents.
• Build and lead a 5–10 person AI engineering team.
• Deliver enterprise-grade scalability and security readiness.

You are:

• A systems thinker, not a feature builder.
• Comfortable operating in ambiguity.
• Obsessed with first-principles architecture.
• Fluent in both deep learning and structured logic.
• Motivated by building category-defining infrastructure.
• You understand that explainability is not a checkbox — it is architecture.

• Competitive early-stage salary – 10% Equity + 10% Additional upon KPI’s met= 20% Equity
• Base Salary once seed funding is decured is $150k, OTE $300,000.
• Base by EOY 6 $ 410K – OTE $600K+
• Meaningful founding-level equity
• Performance-based milestone upside
• Opportunity to define an entirely new AI category

Black-box AI cannot survive in regulated valuation environments. Institutions require systems that are:

• Defensible
• Reviewable
• Correctable
• Transparent

Valuence-AI is building the infrastructure layer for institutional valuation governance.

If you want to build AI that regulators trust, courts respect, and institutions depend on — this is your role.