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- Tasks: Lead and mentor engineering teams to build innovative AI-powered software solutions.
- Company: Fast-growing SaaS company at the forefront of AI technology.
- Benefits: Competitive salary, career development, and a collaborative work culture.
- Why this job: Shape the future of AI in software while empowering your team to excel.
- Qualifications: Experience in software engineering and leadership, with a passion for AI technologies.
- 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. We’re brilliant people creating brilliant software! 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
- 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. 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 or GitHub repository showcasing your projects, especially those related to AI and software development. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to engineering management. Think about how you would lead a team or tackle project challenges, and be ready to share your insights.
✨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, it shows you’re genuinely interested in joining our brilliant team!
We think you need these skills to ace AI Engineering Manager in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI technologies shine through! We want to see how you’ve engaged with AI in your previous roles and how it excites you to build innovative solutions.
Tailor Your Experience: Make sure to highlight your relevant experience in software engineering and team leadership. We’re looking for specific examples that demonstrate your ability to manage projects and mentor engineers effectively.
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 Engineering Manager role at our fast-paced SaaS scale-up.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get back to you quickly. We can’t wait to hear from you!
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, as well as your thoughts on its future in software development. 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 the past. Think about specific challenges you faced and how you fostered a positive team culture. Highlight your experience with agile methodologies like Scrum or Kanban, as this is crucial for the role.
✨Be Data-Driven
Demonstrate your analytical skills by discussing how you've used data to drive decisions in your previous roles. Be ready to share specific metrics or outcomes that resulted from your data-driven approach, as this aligns with their focus on continuous improvement.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and their vision for the future. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals and values.