NeuroScale Inc. logo

Chief Technology Officer (CTO)

Job Overview

Location

Remote

Job Type

Full-time

Category

Chief Technology Officer (CTO)

Date Posted

April 7, 2026

Full Job Description

đź“‹ Description

  • • As the Chief Technology Officer (CTO) at NeuroScale Inc., you will serve as the highest-ranking technical leader and a core member of the founding team, defining the technical vision and architecture for an AI-powered recruiting platform that is transforming talent acquisition into a science.
  • • You will lead, recruit, and scale a world-class engineering organization, overseeing the design, development, and reliability of backend systems, AI/ML infrastructure, APIs, data workflows, and integrations, while establishing engineering best practices in security, observability, testing, and incident response.
  • • NeuroScale is building Arbi, the first end-to-end AI recruiting platform that connects companies with specialized recruiters and autonomous AI sourcing agents, backed by rapid growth—adding over $5M in pipeline monthly with 75% month-over-month increases—and backed by a young, high-talent team operating with urgency and minimal bureaucracy.
  • • You will have the opportunity to solve high-impact problems such as intelligent candidate-company matching, designing incentive systems for recruiters, building core tooling for recruiter workflows, and creating a new paradigm for talent discovery—gaining direct access to founders and advisors while shaping the future of hiring at an enterprise scale.

Skills & Technologies

Python
TypeScript
FastAPI
Remote
$150k-200k

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NeuroScale Inc.
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About NeuroScale Inc.

NeuroScale provides cloud-based, HIPAA-compliant AI infrastructure and managed services for healthcare and life-science organizations. The platform automates ingestion, de-identification, labeling and scalable training of multimodal clinical data, offering pre-built FDA-compliant model templates, federated learning orchestration and continuous monitoring tools. Customers gain secure, on-demand GPU clusters, integrated MLOps pipelines and regulatory documentation to accelerate deployment of diagnostic, imaging and predictive models while meeting GDPR, SOC 2 and 21 CFR Part 11 requirements.

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