AI meets Vulnerability Management.
Head of AI
Location
Europe
Posted
19 hours ago
Salary
0
Seniority
Lead
Job Description
Head of AI
Maze
• Own AI strategy and research direction: Set the technical roadmap for our AI capabilities. • Own agent quality and evaluation: Build and run the frameworks that tell us whether our investigation agents are improving. • Build the breakthroughs yourself: Prototype a new technique in days, get it into the product, and measure the impact. • Run fine-tuning and model experiments on real data: Own fine-tuning pipelines, context engineering, model migration, and cost/routing optimisation grounded in production data. • Guide prioritisation across the AI team: You'll be the filter deciding which methods are actually worth a prototype this week. • Lead a small team by doing: Set technical direction for the AI engineers, raise the bar through pairing and review. • Partner with the CTO and engineering leadership: Turn the AI roadmap into shipped capability. • Get in front of customers: Occasional direct customer exposure, translating what security teams need into concrete improvements to the ML pipeline. • Set the pace: Ship prototypes in days, not quarters.
Job Requirements
- Hands-on technical leadership: A track record of leading AI work while personally building it.
- Shipped LLM/agentic systems to production: You've built and run generative-AI systems that real customers use, not research prototypes or slideware.
- Deep LLM-era technical depth: You can explain transformer architecture, training, fine-tuning (e.g. LoRA), and inference from first principles.
- Built evaluation frameworks for non-deterministic systems: You've designed and run evals for multi-step, non-deterministic agents: trajectory evaluation, LLM-as-judge, fine-tuning result measurement.
- Top-tier pedigree with a builder's edge: Experience at a leading AI organisation or strong AI-native startup where you raised the technical bar rather than coasted on the brand.
- Unambiguous startup signal: You've operated at early stage or built something from zero.
- Pace and urgency: You ship prototypes in days.
- Sharp, concise communication: You communicate clearly and tightly in a remote-first, English-speaking team, in writing and live.
- Nice to Haves: Security, vulnerability-management, or adversarial-domain background. Strongly preferred.
- Comfort in front of customers, able to translate agent behaviour and capability into terms a security team understands.
- Model cost/routing pragmatism: real experience cutting inference cost and migrating between models in production.
- Track record at a successful AI-first startup, scaling a system from experimentation to production impact.
- PhD or published work in ML/AI at top-tier venues, paired with real production experience.
Benefits
- Founding-level ownership and upside.
- Significant equity, a seat on engineering leadership, and a path to VP of AI as the team scales around what you build.
- Cybersecurity as a force for good.
- The work directly helps organisations stop attacks.
- Measurable impact, real customers, immediate feedback on what you ship.
- Build the AI-native company from the ground up.
- A well-funded Series A (Theory Ventures) with a Series B on the horizon, early enough that you'll set the technical standards for how AI investigates security at scale.
- A team you'll want to be measured against.
- Founders and engineers from Amazon, Elastic, and Tessian. Hands-on leaders who've been part of multiple acquisitions and an IPO.
- The hardest problem in the field, unsolved. Evaluating non-deterministic, multi-step agents against ground truth is an open problem, and we've built the exploit lab and 180+ tool agent infrastructure to attack it.
Related Guides
Related Categories
Related Job Pages
More Artificial Intelligence Jobs
Role Description At Fly2Health, we’re redefining what allied healthcare can look like, combining technology and accessibility to deliver high-quality clinical care to communities across Australia. We are currently looking for casual qualified telehealth clinicians to provide clinical intervention for our ongoing NDIS participants, in the field of Psychology to join our growing national team. This role can be based anywhere in Australia and offers flexible casual arrangements to suit your lifestyle and career goals. This is an opportunity to work in a highly supportive telehealth environment where you’ll combine meaningful clinical work with flexibility and autonomy. - Join our growing Telehealth team and play a meaningful role in supporting clients through specialist clinical intake calls, ongoing telehealth intervention, and therapy services. - Work with clients across the lifespan, with a strong focus on paediatric NDIS participants. - Supported to build confidence as generalists while also having opportunities to develop specialised clinical interests over time. - Casual, telehealth only (can be located anywhere with reliable, high-speed internet). - Minimum commitment: 10 hours per week. - Work-from-home. - Structured admin time. - Supportive scheduling and manageable KPIs. Qualifications - Qualifications in Psychology. - At least 2 years of clinical practice and a strong understanding of NDIS frameworks. - AHPRA registration (or eligibility). - Excellent communication and interpersonal skills. - Confidence working independently within a supported team environment. - Passion for accessible healthcare and client-centred care. - Telehealth experience is welcomed but not essential. Ready to apply? If you’re looking for a flexible casual role where you can work from anywhere in Australia while still making a genuine impact, we’d love to hear from you. APPLY TODAY
• Design and build deep learning systems for search ranking, personalized recommendations, and session-based recommendation engines. • Integrate geographic context into ranking systems and improve pickup point recommendations. • Translate business objectives into machine learning objectives with appropriate non-functional requirements. • Lead model evaluation using offline metrics and online experiments. • Collaborate with backend engineers to deploy production-ready low-latency ML models. • Work closely with product managers and operations teams to transform behavioral insights into product features. • Own the end-to-end production ML lifecycle, including serving, monitoring, drift detection, and retraining pipelines.
• You will own, build, and run your startup in fields such as Applied AI • You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management • You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs • You will receive intensive coaching to make your startup ready to raise millions in funding • You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively
• You will own, build, and run your startup in fields such as AI. • You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management. • You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs. • You will receive intensive coaching to make your startup ready to raise millions in funding. • You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively.
