Director of Engineering
Zignal Labs · San Francisco, CA · Yesterday
RemoteRemoteEngineeringFull-time
About the role
We are seeking a Director of Engineering to lead and scale our AI and Engineering teams. In this role, you will drive technical strategy, application architecture, and delivery across our frontend, backend, and AI feature teams. You will transform complex machine learning models and multi-source analytics into intuitive, enterprise-ready web applications for national security operations.
Key Responsibilities
- Lead, mentor, and scale software teams across full stack engineering, core application services, data engineering, and AI/ML integrations
- Architect and drive the execution of user-facing web platforms, ensuring seamless integration between UI workflows, backend APIs, and real-time AI model inference
- Collaborate with Data Science and Product teams to operationalize and productize advanced AI capabilities (e.g., LLMs, computer vision, narrative detection) within high-performance, enterprise-ready features
- Drive the transformation of our engineering lifecycle to an AI-first SDLC, leveraging AI-assisted coding, automated code review, and intelligent CI/CD pipelines to accelerate developer velocity
- Implement an AI-driven automated QA strategy, utilizing generative testing and self-healing test suites to increase release confidence and reduce manual regression cycles
Required Qualifications
- 8+ years of software engineering experience, including 4+ years in engineering leadership managing full stack and software development teams; Bachelor’s degree in Computer Science, Engineering, or a related technical field
- Proven track record of shipping and scaling enterprise-grade full stack web applications that leverage production AI/ML services
- Proven experience leading the implementation of AI-augmented development environments and CI/CD pipelines
- Strong understanding of shifting quality left through AI-driven automated testing strategies
- Demonstrated experience operationalizing AI-driven services and integrating machine learning models into robust, scalable full-stack web applications
- Demonstrated success recruiting, hiring, and retaining top-tier remote engineering talent
Preferred Qualifications
- Experience supporting software delivery for DoD, IC, or defense contractor environments