At a Glance
- Tasks: Lead engineering squads to build AI-native capabilities in our SaaS platform.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive salary, excellent benefits, and career development opportunities.
- Other info: Work in a dynamic environment with flexible office days in Leamington Spa.
- Why this job: Shape the future of AI technology while leading talented teams.
- Qualifications: Experience in software engineering and team leadership, with a passion for AI.
The predicted salary is between 70000 - 90000 £ per year.
Role Overview
You will lead three engineering squads focused on building AI-native capabilities into our SaaS platform. The role combines technical leadership with people management, guiding engineers, driving delivery, and ensuring architectural decisions are practical, scalable, and aligned with business goals.
Key Responsibilities
- Provide hands-on technical leadership to your squads, offering informed guidance and challenge where needed.
- Champion AI-first engineering practices by embedding AI tooling into day-to-day development and QA workflows.
- Lead agile delivery with an emphasis on measurable outcomes and execution quality over process overhead.
- Support engineers through structured coaching, regular 1:1s, career development, and clear, constructive feedback.
- Partner closely with product teams to turn business objectives into well-defined technical initiatives.
- Continuously improve how we design, build, test, and release software across teams.
Requirements
- Proven experience as a software engineer, with a strong understanding of what it takes to build and maintain production systems.
- Track record of leading and developing engineering teams, including growing high-performing teams and improving delivery effectiveness.
- Strong understanding of modern AI concepts and architectures, including LLMs, RAG, and fine-tuning, with the ability to assess AI-driven technical proposals independently.
- Genuine interest in AI and emerging technologies, with hands-on experimentation using AI tools, models, or AI-enabled products.
- Experience with technologies in our core stack, including .NET, C#, JavaScript, and Azure. While our environment is polyglot, familiarity with these technologies is highly beneficial.
This is a full-time, permanent position, working 2 days per week from their offices in Leamington Spa. Our client offers a competitive salary, excellent benefits, and strong opportunities for career development.
Apply online to be considered.
AI Engineering Manager employer: Halian Technology Limited
As an AI Engineering Manager at our company, you'll be part of a dynamic and innovative team in Leamington Spa, where we prioritise a collaborative work culture that fosters creativity and growth. We offer competitive salaries, comprehensive benefits, and structured career development opportunities, ensuring you can thrive both personally and professionally while leading cutting-edge AI initiatives. Join us to make a meaningful impact in the tech landscape and advance your career in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI technologies. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and software engineering. Practice explaining your thought process clearly and confidently, as this will demonstrate your leadership capabilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineering Manager
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and emerging technologies shine through. Share any hands-on experiences you've had with AI tools or projects, as this will resonate with us and show that you're genuinely interested in the field.
Highlight Your Leadership Skills:Make sure to emphasise your experience in leading engineering teams. We want to see how you've guided others, improved team performance, and fostered a collaborative environment. Use specific examples to illustrate your impact!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Highlight your relevant skills and experiences without overcomplicating things.
Apply Through Our Website:Don't forget to submit your application through our website! This ensures it gets to the right people quickly. Plus, it shows that you're proactive and keen to join our team at StudySmarter.
How to prepare for a job interview at Halian Technology Limited
✨Know Your Tech Inside Out
Make sure you brush up on your technical knowledge, especially around AI concepts and architectures like LLMs and RAG. Be ready to discuss how you've applied these in past projects, as well as your experience with .NET, C#, JavaScript, and Azure.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading engineering teams. Talk about how you've supported team members through coaching and feedback, and how you've driven measurable outcomes in previous roles.
✨Align with Business Goals
Understand the company's business objectives and think about how you can translate those into technical initiatives. Be ready to discuss how you've partnered with product teams in the past to achieve this alignment.
✨Emphasise Agile Delivery
Familiarise yourself with agile methodologies and be prepared to discuss how you've led agile delivery in your previous roles. Highlight your focus on execution quality and how you've improved delivery effectiveness within your teams.
