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- Tasks: Lead and mentor engineering teams to build innovative AI-powered software solutions.
- Company: Fast-growing SaaS organisation in the UK focused on cutting-edge AI technology.
- Benefits: Competitive salary, career development opportunities, and a collaborative work culture.
- Why this job: Shape the future of AI technology while empowering your team to excel.
- Qualifications: Proven experience in software engineering and leadership roles, with a passion for AI.
- Other info: Dynamic environment with opportunities for continuous improvement and innovation.
The predicted salary is between 70000 - 90000 £ per year.
An exciting opportunity has arisen for a dedicated AI Engineering Manager to join one of the fastest growing SaaS organisations in the UK. They have been heavily invested in and are progressing quickly with true Agentic AI.
We've assembled a team of top talent and stand ready to lead the industry with our innovative software solutions, AI-powered capabilities, and unparalleled customer support. Join us in our mission to create brilliant software that empowers businesses to reach new heights.
The Opportunity:
As an Engineering Manager, you will lead and mentor squads of engineers building AI-powered features into our software products, overseeing both development and maintenance to enhance the solutions. You'll ensure timely delivery of projects while fostering a culture of continuous improvement, innovation, and technical excellence. This role offers the opportunity to shape both the technical direction of the products and the professional growth of your team.
Who You Are:
- Technical credibility from proven experience in a software engineering role
- Management credibility from experience in a leadership or team lead role
- Experience building products for the web (highly recommended)
- Hands-on experience working in an agile environment with methodologies such as Scrum or Kanban
Key Skills & Attributes:
- Ability to understand, communicate, and improve team quality and performance
- Demonstrable analytical skills using data to derive insights and drive decisions
- Interest in or experience with AI technologies and their practical application in software development
- Proven ability to prioritise multiple projects and report details to management and stakeholders
- Ability to work effectively in a fast-paced and dynamic environment
- Knowledge of technology development best practices and modern development tooling
- Strategic thinker with a results-driven mindset and focus on achieving targets
- Experience with cloud platforms (Azure, AWS, or GCP)
- Understanding of modern DevOps practices and CI/CD pipelines
Key Responsibilities:
- Provide technical guidance, coaching, and mentorship to engineers
- Foster a positive, collaborative team culture that encourages innovation and knowledge sharing
- Hold regular 1:1s with all team members, supporting their career development and growth
- Run agile project management processes (Scrum, Kanban, or similar methodologies)
- Collaborate with cross-functional teams to define project requirements, plans, and strategies
- Oversee project planning, execution, and delivery, monitoring progress and adjusting plans as necessary
- Ensure best practices in software development, testing, and deployment
- Identify and implement process improvements for development, testing, and deployment
- Drive continuous improvement in product quality, security, and performance
- Explore and integrate AI tools and technologies to enhance development efficiency and product capabilities
- Champion the adoption of emerging technologies and modern development practices
Interested? Please apply and one of the team will reach out!
AI Engineering Manager employer: InterCity Partners Ltd
Contact Detail:
InterCity Partners Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AI technologies. This gives you a chance to demonstrate your technical credibility and passion for innovation.
✨Tip Number 3
Prepare for interviews by brushing up on agile methodologies and project management techniques. Be ready to discuss how you've led teams and delivered projects successfully, as this will resonate well with hiring managers looking for an Engineering Manager.
✨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 about their job search!
We think you need these skills to ace AI Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Engineering Manager role. Highlight your leadership experience and any hands-on work with AI technologies to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about AI and how your background aligns with our mission. Share specific examples of your achievements in software engineering and team management to grab our attention.
Showcase Your Technical Skills: Don’t forget to mention your experience with cloud platforms and agile methodologies. We want to see how you’ve applied these skills in real-world scenarios, so be specific about your contributions and results.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from our team!
How to prepare for a job interview at InterCity Partners Ltd
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI. Be ready to discuss how you've applied AI in previous projects, especially in a SaaS context. This will show your technical credibility and passion for the field.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in an agile environment. Highlight your experience with methodologies like Scrum or Kanban, and be ready to discuss how you foster collaboration and innovation within your team.
✨Be Data-Driven
Demonstrate your analytical skills by discussing how you've used data to drive decisions in past projects. Bring specific examples where your insights led to improved team performance or project outcomes, as this aligns with their focus on quality and performance.
✨Emphasise Continuous Improvement
Talk about your commitment to continuous improvement and how you've implemented best practices in software development. Share any experiences where you've driven process improvements or adopted new technologies that enhanced product capabilities.