Neuroscale AI

Chief Technology Officer – CTO

Neuroscale AI

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $150,000 - $200,000 per year

Job Level

About the role

  • 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.

Requirements

  • 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.
Benefits
  • $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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
TypeScriptNestJSPythonFastAPIAIMLbackend systemsAPIsdata workflowsorchestration layers
Soft Skills
leadershipmentorshipteam designtechnical culturecommunicationcollaborationstrategic visionorganizational skillsincident responsebest practices