Director of Engineering

Stability AI

full-time

Posted on: 9/3/2025

Origin: • 🇺🇸 United States

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Lead

AWSAzureCloudDistributed SystemsGoGoogle Cloud PlatformJavaPythonTypeScript

About the role

Report directly to the Chief Technology Officer (CTO) and drive technical strategy.
Lead engineering teams and ensure successful delivery of AI-powered solutions.
Collaborate with Product, Research, Applied, and Operations to translate AI innovations into market-ready solutions.
Define and execute engineering roadmap aligned with company AI vision and business objectives.
Hands-on leader who writes code and debugs problems with the team.
Oversee design, development, and deployment of scalable, reliable, and secure full-stack applications and APIs.
Ensure best practices in software development, architecture, cloud infrastructure, security, and observability.
Drive technical excellence via CI/CD, DevOps/MLOps practices and track KPIs for engineering efficiency.

10+ years of experience in software engineering, with at least 5 years in a leadership role at a high-growth technology, AI, or deep-tech company.
Proven track record of building and scaling engineering teams responsible for backend, frontend, and API platforms.
Strong expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and modern web architectures.
Experience in building and owning full stack products using programming languages/frameworks such as Go, Typescript, Java, or Python.
Familiarity with MLOps, data infrastructure, and deploying AI models in production environments.
Strong understanding of application security, compliance, and ethical technology principles.
Exceptional leadership, communication, and cross-functional collaboration skills.
Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, AI, or a related field.