Director, Engineering – RNA

Role Overview

• Champion the integration of AI-powered tooling across the engineering organization to measurably improve developer throughput and code quality
• Architect and own an AI product enablement strategy — working with Product and Design to embed AI capabilities into Solera's core offerings
• Build internal AI engineering platforms, reusable prompt libraries, and guardrails that accelerate adoption safely and responsibly
• Maintain a high say/do ratio across global teams through consistent agile delivery practices, OKR alignment, and data-driven accountability
• Establish predictable release cadences with robust CI/CD pipelines, automated quality gates, and observable, secure systems
• Lead quarterly and annual engineering planning cycles; translate business objectives into engineering commitments with clarity and confidence
• Track leading and lagging indicators of delivery health and drive continuous improvement
• Lead, coach, and scale a global engineering organization including multiple Engineering Managers and senior ICs across regions
• Design and execute structured skills uplevel programs — with particular focus on AI literacy, cloud-native patterns, and modern software delivery practices
• Drive change management for technology transformations with clear communication plans, stakeholder buy-in, and measurable milestones
• Build a culture of psychological safety, radical candor, and continuous learning where feedback is prompt, actionable, and welcomed
• Provide hands-on technical leadership across Solera's cloud-native microservices platform
• Work with Software Architects and Product leaders to define and deliver technology roadmaps with organizational visibility and on-time milestones
• Own technical debt strategy: quantify, prioritize, and systematically reduce debt while preserving delivery velocity.

Requirements

• 15+ years of progressive software engineering experience, with 7+ years leading engineering teams at scale
• Demonstrated track record of delivering complex, multi-quarter programs on time — with a verifiable high say/do ratio
• Hands-on experience integrating AI/ML tools into developer workflows and/or shipping AI-enabled product features
• Proven change management experience — leading technology transformations, modernization efforts, or cultural shifts in engineering organizations
• Experience managing and coaching Engineering Managers across distributed, global teams
• Deep fluency in cloud-native architecture, microservices, and modern SDLC practices (CI/CD, DevSecOps, SRE principles)
• Experience in highly regulated or compliance-sensitive domains (automotive, insurance, fintech, health tech) is a strong advantage
• Strong command of engineering metrics and how to use data to drive decisions and accountability
• BS/MS in Computer Science, Engineering, or equivalent practical experience.

Tech Stack

• Cloud
• Microservices
• SDLC

Benefits

• Health insurance
• Competitive salary
• Flexible working hours
• Professional development budget
• Home office setup allowance