Staff Engineer (IT Automation & AI-native Transformation)

About this role

SoSafe has the ambition to become the leading human risk management provider in Europe. Our award-winning awareness platform triggers behavioural change by providing effective and engaging training and simulations on cybersecurity and data protection. Cybercrime is costing the world >$10 trillion annually and growing by 15% p.a. - we invite you to be part of the solution! Are you a visionary Staff Engineer , excited about pushing the boundaries of automation and artificial intelligence deployed across a whole company? We're seeking an exceptional candidate to join our IT Engineering team to build the foundation for our AI-native future, in one of the industry's fastest growing SaaS scale-ups. Things no-one seems to know yet: How to make traditional automation & productivity tools consistently useful across a whole business in a post-AI world How to balance traditional tools against foundation models and agentic working How to enable (and protect) citizen builders to use spec-driven design and self-built AI-agents to actually change the organisation, reliably, safely and at scale We want you to solve these problems. Here's how you'll make a difference: Test-bed: Architect,build and iteratea toolchain fusing traditional automation and productivity tools (n8n, google workspace, etc) with spec-driven design and agentic working, test out on IT and Security Iterate: Advocate, mentor and enableotherearly adopter teams to use our platforms, get value, provide feedback, iterate the platform Standardise: Build self-sustaining cultural practices across the organisation, enable whole departments, scale the platform for everyone Drive the evolution of IT operations towards an all-encompassing * -as-code infrastructure model through hands-on architecture and design Contribute to the IT/Sec Operating System as we move wholesale to build-not-buy teams Mentor and level up the existing IT engineering team, then whole departments, serving as a technical guide to accelerate skills transfer and foster a strong, collaborative engineering culture Champion and advocate for our shared automation and AI platforms and methodologies, driving cross-departmental adoption to break down operational silos. What makes you a great fit: Demonstrated experience operating at a Staff Engineer level, ideally within an established, successful, cloud-native hypergrowth SaaS environment Hands-on builder and systems thinker - A background that includes hands-on coding, ideally in a platform or SRE team. IT experience is secondary, we need builders who can help others build better A track record of successful AI-native adoption, showcasing how you've successfully moved workflows beyond experimental prompts into robust, production-grade automated workflows or agents Deep technical mastery of at least some of: infrastructure-as-code, modern CI/CD systems (e.g., GitHub Actions) and enterprise-grade workflow orchestration (e.g., n8n, Zapier) A pragmatic engineering mindset: You understand that while agentic working is fast and flexible, it brings significant utilization costs; you know how to design hybrid architectures that balance speed with financial efficiency. When faced with a complex problem, you instinctively break it down Great leadership, stakeholder management and communication skills: The biggest challenge is always people, not technology. You treat internal teams as your customers and excel at explaining complex technical concepts to non-technical "citizen coders" and executive stakeholders alike. What you will get in return: A mandate from the CEO to massively accelerate our AI-native transformation in every role, actually solving the AI-related questions that we’re all asking, at speed and scale A company comfortable with rapid change and iterative development - We love experiments that fail, as long as we learn from them Collaborative and highly supportive IT and Security team around you - We prize a safe and enjoyable working environment, good work-life bala

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