Chief Technology Officer – CTO

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Neuroscale AI

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11 - 50 Mitarbeiter

Gegründet 2024

🤖 Künstliche Intelligenz

Artificial Intelligence

Neuroscale AI ist ein Unternehmen, das im Bereich der künstlichen Intelligenz tätig ist. Da kein zusätzlicher Text bereitgestellt wurde, basiert diese Beschreibung ausschließlich auf dem Namen und impliziert einen Schwerpunkt auf KI-Technologien, Forschung oder Produkte.

Beschreibung

• Define and own the overall technical vision, platform architecture, and engineering roadmap in alignment with product strategy and company growth. • Lead, recruit, and scale a world-class engineering organization, including hiring standards, team design, mentorship, and technical culture. • Oversee the design, development, and reliability of Neuroscale's backend systems, agents, talent matching models, orchestration layers, APIs, data workflows, and ext. integrations. • Drive sound architectural choices across backend systems (such as TypeScript/NestJS and Python/FastAPI), frontend applications, and AI/ML infrastructure. • Establish and enforce engineering best practices across security, observability, testing, reliability, incident response, and documentation. • Build the operational foundation required for scale, including runbooks, deployment patterns, developer tooling, and health metrics for engineering performance. • Own the company's compliance and certification roadmap across enterprise trust requirements, including security and privacy frameworks. • Represent the company's technical strategy externally with customers, partners, analysts, investors, and research institutions.

🎯 Anforderungen

• Define and own the overall technical vision, platform architecture, and engineering roadmap in alignment with product strategy and company growth. • Lead, recruit, and scale a world-class engineering organization, including hiring standards, team design, mentorship, and technical culture. • Oversee the design, development, and reliability of Neuroscale's backend systems, agents, talent matching models, orchestration layers, APIs, data workflows, and external integrations. • Drive sound architectural choices across backend systems (such as TypeScript/NestJS and Python/FastAPI), frontend applications, and AI/ML infrastructure. • Establish and enforce engineering best practices across security, observability, testing, reliability, incident response, and documentation. • Build the operational foundation required for scale, including runbooks, deployment patterns, developer tooling, and health metrics for engineering performance. • Own the company's compliance and certification roadmap across enterprise trust requirements, including security and privacy frameworks. • Represent the company's technical strategy externally with customers, partners, analysts, investors, and research institutions.

🏖️ Vorteile

• $250,000 in AI tooling credits. Cursor, Claude, whatever you need. We don't cap your leverage. • Health, Vision and Dental. 50% reimbursed. We take care of the people who take care of the company. • Unlimited PTO. We measure output, not hours. Take the trip. • Paid engineering conferences. NVIDIA GTC, NeurIPS, and anything else that makes you sharper. If it makes you better, we pay for it. • Direct access to the best. You will work alongside founders, operators, and advisors who have built and scaled real things. The learning curve here is not a perk line item but it might be the most valuable thing on this list. • The real benefit? You will do more meaningful work in 12 months than most people do in a decade. You will have equity in something that matters, a seat at a table that counts, and a team around you that refuses to be average.