Director, Engineering

Role Overview

• Provide direct, empathetic, and growth-oriented leadership to an expanding engineering organization.
• Attract, mentor, and retain top-tier talent while fostering a high-accountability, inclusive, and collaborative team culture.
• Define the technical roadmap, engineering standards, and architectural blueprints for AI-enabled systems and backend services.
• Ensure all solutions are scalable, maintainable, resilient, and seamlessly aligned with enterprise architecture.
• Oversee the lifecycle design, rapid development, and production deployment of AI-driven applications and full-stack services, ensuring robust integration between modern AI frameworks and core backend infrastructure.
• Champion rigorous development practices—including advanced CI/CD pipelines, robust automated testing, thorough code reviews, and comprehensive operational readiness—to guarantee the highest standards of code quality and system reliability.
• Establish, track, and optimize key engineering metrics (e.g., DORA metrics, system latency, model inference performance, and infrastructure cost efficiency) to drive continuous operational improvement.
• Supervise agile resource allocation, sprint prioritization, and capacity planning across multiple cross-functional initiatives to balance velocity with engineering health.
• Partner with security and compliance teams to ensure all AI system deployments adhere to stringent corporate policies, security protocols, data privacy standards, and evolving regulatory requirements.
• Act as a strategic liaison between engineering, product management, and business stakeholders to translate organizational vision into executable technical roadmaps.
• Drive internal innovation by spearheading engineering guilds or communities of practice focused on emerging AI paradigms, agentic workflows, and modern backend architectures.
• Partner with recruiting to build a highly competitive hiring pipeline, design technical evaluation frameworks, and lead onboarding strategies for incoming engineering talent.

Requirements

• Deep, hands-on understanding of modern AI system architectures, LLM orchestration frameworks (e.g., LangChain, LlamaIndex), vector databases, secure API design, and distributed full-stack application development.
• A tracking record of scaling engineering teams and developing technical leaders (Managers and Principal/Staff Engineers) within fast-paced environments.
• Exceptional ability to translate ambiguous, high-level business requirements into structured, phased, and executable engineering sprints.
• Outstanding communication skills, with the proven ability to articulate complex technical architectures to non-technical executive stakeholders and align diverse teams toward a unified technical vision.
• Typically requires a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, alongside 8+ years of progressive engineering experience, with 3+ years in a dedicated engineering management or leadership capacity.
• Occasional travel.

Benefits

• Health, dental, and vision insurance
• Life and disability insurance
• Retirement & Savings Plan
• Emergency back-up child and adult care
• Paid vacation, sick time off, and holidays
• Professional development and career advancement opportunities
• Employee recognition and reward programs
• Employee wellness and assistance programs
• Employee discounts and perks