Engineering Manager: Applied AI

Build and lead the team. You will lead and grow a squad of senior full-stack engineers building AI-enabled tooling, managing the full lifecycle of hiring, onboarding, and continuous growth through weekly 1:1s and performance feedback. You’ll align individual aspirations with business needs while fostering a culture of high standards and psychological safety.

Set the charter and direction. Partnering with Engineering leadership, Product, and Design, you will define the team’s ownership boundaries and shape Copia’s applied-AI strategy — translating high-level goals into a clear roadmap and well-scoped delivery milestones, and using product taste to decide where GenAI genuinely improves the experience for our users.

Ship AI features that matter to customers. You will guide the team to integrate GenAI into Copia’s existing Source Control and DeviceLink products and to improve the experience of the Copia Copilot — shipping high-quality, scalable, well-documented capabilities and measuring their adoption and impact.

Drive the technical direction. You will oversee the architecture of AI-powered, full-stack systems — frontend experiences, backend services, APIs, and the AI plumbing behind them (LLM integration, RAG pipelines, evaluation, model selection, prompt and context strategies) — and ensure they are reliable and scale. You’ll stay close enough to the technology to provide architectural input, code reviews, and hands-on contributions where they add the most leverage.

Champion how we build with AI. You’ll help the team make AI coding agents a central part of how they work to increase velocity while maintaining high standards, and you’ll share best practices that raise how the entire engineering organization leverages AI tools.

Own operational quality and how we work. You’ll be responsible for on-call practices, incident response runbooks, and the engineering standards (from CI/CD to ADRs, testing, and evaluation of AI behavior) that empower the team to move faster with higher confidence in a safety-critical domain.