AI Director - Cyber Security SaaS Start-up

Wave Talent European Union
Remote
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AI Summary

Lead AI research, build prototypes, and architect the future of intelligent security at a well-funded start-up. Develop and own the long-term strategy for applying machine learning and generative models to solve complex security problems. Drive innovation with LLMs and agent systems, guide a growing team of top talent, and translate research into breakthrough product capabilities.

Key Highlights
Define AI vision and strategy
Turn research into products
Establish evaluation standards
Raise technical bar
Build and grow AI team
Technical Skills Required
Machine Learning Generative Models LLMs Agent Systems Transformer Architectures Autonomous Agent Systems Fine-tuning Techniques Evaluations Agent Frameworks Python Cyber Security Vulnerability Management
Benefits & Perks
Salary up to €200k
Equity up to 0.5%
Fully remote work with quarterly team get-togethers
€30m+ funding (Series A)

Job Description


💻 Job Title: AI Director

🤑 Salary: up to ~€200k / £175k (flex for the right candidate)

📈 Equity: up to 0.5% (valued at $625k)

📍 Location: fully remote anywhere in Europe (quarterly team get togethers)

🔐 Company: Cyber Security SaaS start-up building AI agents to identify and resolve cloud vulnerabilities

👥 Employees: ~30

💸 Funding: $30m+ (Series A)


Are you looking for the next big thing and want to work on novel products? 🚀


👉 If you’ve led AI research, built prototypes that turned into products and want to architect the future of intelligent security, this could be your defining role at a well-funded start-up, operating at the intersection of AI and cybersecurity.


We’re searching for an AI leader to set the vision, shape the research agenda and turn cutting-edge ideas into real-world impact. Working closely with the CTO, you'll own the end-to-end AI strategy, drive innovation with LLMs and agent systems, guide a growing team of top talent and translate research into breakthrough product capabilities that protect organisations worldwide.


This role is for someone who thrives at combining deep technical expertise with strategic leadership, and is eager to define the standards of how AI transforms security.


🫵 What you'll do:

  • Define the AI vision: Develop and own the long-term strategy for applying machine learning and generative models to solve complex security problems.
  • Turn research into products: Build prototypes of new techniques, validate them and work with engineering to transform them into customer-facing features.
  • Establish evaluation standards: Design systems and benchmarks that measure the performance of LLMs, agents and AI-driven workflows in real-world security contexts.
  • Raise the technical bar: Provide architectural guidance, review implementations, and ensure quality across all AI-related initiatives.
  • Build and grow the team: Hire, mentor and lead AI talent, fostering a culture of innovation and excellence.


✅ Must have requirements:

  • Deep LLM, NLP, GenAI and Agentic AI expertise - you must have hands-on experience with modern transformer architectures, autonomous agent systems, fine-tuning techniques, evaluations and agent frameworks
  • A track record of guiding teams and shaping AI direction at leading research labs, major tech companies or fast-moving startups
  • Ability to move quickly from research phase to working prototypes to scalable production systems
  • Experience applying AI research to practical business challenges, deploying at enterprise scale and measuring success through user and market impact
  • Strong engineering foundation with a software development background and the ability to design, review and critique complex architectures
  • Security consciousness - understanding of vulnerability management
  • B2B experience, with a proven track record of working with enterprise clients


👍 Bonus points for:

  • Experience building custom evaluation systems and AI benchmarking
  • Cybersecurity domain knowledge or experience applying AI to security challenges
  • Advanced academic credentials (PhD or equivalent) with publications in respected conferences/journals
  • Familiarity with AI safety, benchmarking and responsible deployment practices

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