Director of Engineering
Dow Jones
- Ireland
- Director/Executive
- Posted
Skills
Required
- AI
- incident response / documentation / testing / architecture review / developer onboarding / engineering analytics
- debating architecture
- delegate
- managing Tech Leads
Preferred
- Infrastructure / SRE / Platform
- observability
- CI/CD
- software engineering
- Claude / Claude Code
- agentic development
- QA Automation
- cloud economics
Storyful as the Director of Engineering, where you will build and lead a small, exceptional AI-native engineering organization. You will create the conditions for talented individuals to do their best work, set a high bar for performance and collaboration, and design a lightweight engineering operating model.
This role requires a strong background in software engineering, experience leading technical teams, and a passion for developing the next generation of engineering leaders.
Construire et diriger une organisation d'ingénierie exceptionnelle axée sur l'IA, en transformant les problèmes réels des clients en logiciels évolutifs et fiables.
About Dow Jones
Evidence that you personally changed an engineering operating model around AI: improving throughput and/or quality, teaching teams how to work effectively with AI, and establishing guardrails, skills, processes and governance
Hands-on Claude / Claude Code experience is a hard requirement. Over the last two years you have led teams that moved beyond experimentation and became demonstrably AI mature
Experience building data-intensive, AI-powered, media, intelligence or real-time information products
Deep experience in one or more of: distributed systems, cloud infrastructure, platform engineering, reliability engineering, developer productivity or automated quality engineering
Responsibilities
- You will also coach leaders and engineers on effective agentic development and partner closely with product and business leaders.
- Établir un modèle opérationnel d'ingénierie léger et en constante amélioration, avec des responsabilités claires, des décisions rapides et des boucles de rétroaction courtes.
- Développer les leaders de demain en créant des plans de croissance clairs, des boucles de rétroaction honnêtes et des chemins de succession significatifs.
- Experience leading across product engineering plus disciplines such as Infrastructure / SRE / Platform and QA Automation, with a strong understanding of reliability, observability, CI/CD, testing and cloud economics
- A track record of building scalable, reliable, secure and cost-effective software that solves real customer problems — not technology for technology’s sake
- A demonstrable track record of developing people and leaders: promotions, expanded scope, strong succession pipelines and teams that became more capable under your leadership
- Strong software engineering foundations and enough recent hands-on experience to review production code, contribute to architecture, prototype and debug credibly
- Shared project context and instructions
- AI-assisted code review, testing, debugging and prototyping
- Skills, hooks, permissions and guardrails
- Claude / Claude Code
- Automated testing and quality engineering
- Observability, SLOs and incident management
- Cloud architecture (AWS) and cost optimisation
- CI/CD and infrastructure as code
- Security and reliability fundamentals
- Modern backend and web architectures
Requirements
- Excellent communication and influence: comfortable debating architecture with senior engineers and discussing strategy, trade-offs and investment with executives
- High agency, humility and sound judgement in ambiguous environments. You know when to delegate, when to challenge and when to get directly involved
- Proven engineering leadership experience in a high-growth or scale-up SaaS product business, including recent experience managing Tech Leads, Engineering Managers or equivalent senior technical leaders
- Strong product and customer instincts, with examples of engineering decisions driven by customer evidence and measurable business outcomes
- We do not require an exact technology match. We do expect you to be technically fluent, able to learn quickly and able to choose tools pragmatically
- Experience defining engineering career frameworks, leadership expectations or succession programmes
- Experience scaling an engineering organisation through a meaningful growth or transformation phase
- Experience using AI to improve more than coding — for example incident response, documentation, testing, architecture review, developer onboarding or engineering analytics
- Distributed / event-driven systems and APIs
- Ability to read, review and occasionally ship production code
Pay
EUR 140,000 - 155,000
