Director of Engineering, Developer Productivity

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Lead high-performing engineering teams focused on AI-native developer productivity, fostering a culture of technical excellence, ownership, inclusion, and continuous improvement.
• 2
  Partner with Developer Productivity and Infrastructure leaders to translate strategy into scalable platforms and engineering roadmaps.
• 3
  Define and evolve the operating model for AI-native software development, including paved paths, platform adoption strategies, governance models, and engineering standards.
• 4
  Drive alignment across infrastructure, developer experience, reliability, security, compliance, product engineering, machine learning, and executive stakeholders.
• 5
  Build engineering systems and organizational processes that help teams move from experimentation to durable adoption of AI-assisted workflows while maintaining quality, reliability, and operational safety.

RequirementsAI-extracted

• 14+ years of experience across software engineering, engineering management, infrastructure, developer tools, platform engineering, AI tooling, or related technical domains.
• Experience leading high-performing engineering teams delivering large-scale technical platforms or infrastructure with executive visibility and cross-functional dependencies.
• Deep fluency in developer productivity systems: CI/CD, code review, testing, deployment, observability, developer environments, internal platforms, or AI-assisted development workflows.
• Understanding of AI and LLM-enabled software development beyond personal productivity, including agent workflows, governance, evals, telemetry, code quality, review burden, cost controls, and operational risk.
• Experience with LLM platforms, AI-assisted development tools, agentic workflows, or AI governance in an enterprise engineering environment.

Perks & BenefitsAI-extracted