At a Glance
- Tasks: Lead AI-driven technology strategy and oversee innovative product development.
- Company: Join a forward-thinking tech company focused on AI and machine learning.
- Benefits: Enjoy competitive leave, hybrid work, private healthcare, and professional development opportunities.
- Other info: Collaborative culture with excellent growth potential and exciting projects.
- Why this job: Shape the future of AI technology and make a real impact in a dynamic environment.
- Qualifications: 10+ years in software engineering with strong leadership experience in AI/ML products.
The predicted salary is between 90000 - 120000 £ per year.
We are looking for a hands-on, forward-thinking Technology Director to lead the technology vision and execution for one of our divisions, with a strong focus on AI-driven products. This role will own the evolution of our AI-powered customer platform and drive the next generation of machine learning, automation, and data-driven capabilities. As a key member of the team, the CTO will work closely with Product, Data, and Business stakeholders to scale innovation, ensure operational excellence, and unlock new value through AI.
What You’ll Own:
- AI & Technology Strategy
- Define and execute the division’s technology roadmap, with a strong emphasis on AI, ML, and data platforms.
- Drive innovation in AI-powered customer capabilities (e.g., personalization, predictive analytics, automation).
- Evaluate and integrate emerging technologies (LLMs, generative AI, real-time decisioning systems) into the product ecosystem.
- Align technical strategy with business objectives and customer value.
- Product & Platform Ownership
- Own the architecture, scalability, and reliability of the AI-driven customer platform.
- Ensure high availability, performance, and accuracy of ML models in production.
- Balance experimentation with production stability.
- Engineering & AI Execution
- Lead cross-functional teams across engineering, data science, and ML engineering.
- Establish best practices for AI development, including model validation, monitoring, and retraining.
- Drive adoption of modern engineering standards (CI/CD, DevOps, automated testing).
- Ensure seamless collaboration between data, product, and engineering teams.
- Operational Excellence
- Oversee production environments, ensuring resilience, uptime, and efficient incident management.
- Optimize infrastructure costs while maintaining scalability.
- Improve deployment cycles for both software and ML models.
- Governance, Security & Responsible AI
- Ensure compliance with data privacy regulations and AI governance standards.
- Establish frameworks for ethical AI use, explainability, and bias mitigation.
- Partner with Legal and Compliance on data usage and model accountability.
- Maintain robust security practices across data and infrastructure layers.
- Leadership & Collaboration
- Build and scale high-performing teams in engineering, AI, and data.
- Act as a bridge between technical and non-technical stakeholders.
- Collaborate closely with Group CTO, other divisions, and shared services.
- Foster a culture of innovation, ownership, and continuous improvement.
What We’re Looking For:
- Experience & Qualifications
- 10+ years in software engineering, with at least 5+ years in senior technical leadership roles.
- Proven experience building and scaling AI/ML-powered products in production.
- Strong background in data platforms, distributed systems, and cloud infrastructure.
- Track record of leading cross-functional teams (engineering, data science, product).
- Skills & Attributes
- Deep understanding of AI/ML technologies (predictive models, NLP, recommender systems, or similar).
- Strong architectural thinking with a pragmatic, hands-on approach.
- Ability to balance innovation with operational reliability.
- Excellent communication and stakeholder management skills.
- Curious, adaptable, and driven by solving complex problems with data and AI.
- Nice to Have
- Experience with AI-driven CRM, marketing automation, or customer engagement platforms.
- Familiarity with LLMs, generative AI, or conversational systems.
- Exposure to regulated environments (data privacy, security, compliance).
Here’s What We Offer:
- Start with a competitive number of annual leave days, increasing as you grow with us.
- Hybrid work schedule is available after the first three months of employment, with up to 50 days of work from home per year.
- Private Medical Healthcare paid by the Company, with an ability to add dependants.
- 3 additional annual sick leave days beyond the legal requirement, with no medical certificate needed for these days.
- Benefit from two Free Fridays each year, limited to one per quarter.
- Access to an Employee Assistance Program through TELUS Health.
- Parental Support: Additional paid leave to support new parents, with options tailored for maternity and paternity. Flexible remote work opportunities during the first months of parenthood.
Benefits and Perks:
- Monthly lunch allowance.
- Gym Membership.
- Access to leading online learning platforms (such as LinkedIn Learning and Udemy for Business), plus an annual budget for external courses or certifications.
Technology Director WonderMatrix in London employer: EveryMatrix Ltd
At WonderMatrix, we pride ourselves on being an innovative employer that champions a culture of collaboration and continuous improvement. As a Technology Director, you will not only lead cutting-edge AI initiatives but also benefit from a supportive work environment that prioritises employee well-being with competitive leave policies, flexible working arrangements, and access to professional development resources. Join us in shaping the future of technology while enjoying unique perks like Free Fridays and comprehensive parental support.
StudySmarter Expert Advice🤫
We think this is how you could land Technology Director WonderMatrix in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in AI and technology. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by researching the company’s tech stack and recent projects. Tailor your answers to show how your experience aligns with their goals, especially around AI-driven products.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Technology Director WonderMatrix in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and technology shine through. We want to see how your experience aligns with our focus on AI-driven products, so share specific examples of your work in this area.
Tailor Your CV:Make sure your CV is tailored to the role of Technology Director. Highlight your leadership experience, especially in AI/ML projects, and don’t forget to mention any cross-functional team collaborations you've been part of. We love seeing how you’ve driven innovation!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Be sure to connect your skills and experiences directly to the responsibilities outlined in the job description. We appreciate a personal touch that shows you understand our mission.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates about your application status. Plus, it’s super easy to do!
How to prepare for a job interview at EveryMatrix Ltd
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss how you've applied these in past roles, especially in building AI-driven products. This will show your depth of knowledge and passion for the field.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading cross-functional teams. Discuss how you've fostered collaboration between engineering, data science, and product teams. This is crucial as the role requires bridging technical and non-technical stakeholders.
✨Align Tech with Business Goals
Be ready to explain how you've aligned technology strategies with business objectives in previous roles. Think of specific instances where your tech decisions unlocked new value or improved operational excellence. This will demonstrate your strategic thinking.
✨Prepare for Ethical AI Discussions
Given the emphasis on responsible AI, be prepared to discuss frameworks you've implemented for ethical AI use, compliance, and bias mitigation. Show that you understand the importance of governance and security in AI development.