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TRUST OR

TRUST OR

www.trust-or.com

1 Job

1 Employees

About the Company

TRUST OR(tm) is the world's first system that makes trust measurable, trainable, and scalable. For decades, researchers have studied trust as the foundation of human relationships, but in business it has remained invisible--no unit, no score, no standard. TRUST OR(tm) changes that. Powered by our patent-pending equation (T + R + L) / D, we help leaders, teams, and organizations: Detect and amplify signals of truth. Align language with meaning. Restore rhythm in human interactions. Expose and correct distortion. From enterprise sales and leadership to healthcare, education, and AI ethics, TRUST OR(tm) introduces the Trust Operating Rhythm(tm)--the KPI of the Human Era. As revenue was the defining KPI of the industrial era, trust will be the defining KPI of the next.

Listed Jobs

Company background Company brand
Company Name
TRUST OR
Job Title
Founding CTO / AI Engineer (TrustTech SaaS – TRUST OR™)
Job Description
**Job Title:** Founding CTO / AI Engineer **Role Summary:** Lead the technical vision and execution of a TrustTech SaaS platform, turning a patented trust‑measurement framework into a product. Drive AI engineering, platform architecture, and team building from MVP to scale as a co‑founder. **Expectations:** - Act as co‑founder with equity stake and strategic influence. - Work in an early‑stage startup environment with rapid iteration. - Deliver high‑quality, secure, GDPR‑compliant SaaS solutions. **Key Responsibilities:** - Architect and develop the MVP SaaS stack (FastAPI/Python backend, Next.js frontend, Postgres & vector DB, ASR/NLP/LLM). - Translate the (T+L+R)/(D) framework into production AI engines. - Build speech, text, and light computer‑vision pipelines. - Ensure data privacy, security, and regulatory compliance. - Shape the product roadmap and collaborate on fundraising efforts. - Recruit, grow, and lead the technical team post‑funding. **Required Skills:** - AI/ML engineering experience in speech recognition, NLP, or multimodal models. - SaaS architecture: REST APIs, cloud infrastructure, dashboards, data pipelines. - Proficiency with vector databases, speech‑to‑text, and LLM integration. - Strong coding in Python, JavaScript/TypeScript (Next.js). - Understanding of GDPR, data security, and privacy best practices. - Startup mindset: comfortable with ambiguity, rapid iteration, and high ownership. **Required Education & Certifications:** - Bachelor’s or higher in Computer Science, Engineering, or related field (preferred). - Certifications in cloud platforms (AWS, GCP, Azure) or AI/ML are a plus.
Île-de-france, France
Remote
Senior
26-09-2025