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- Tasks: Lead and mentor engineering teams to build innovative AI-powered software solutions.
- Company: Join a fast-growing SaaS company at the forefront of AI technology.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of AI in software while empowering your team.
- Qualifications: Proven software engineering experience and strong leadership skills.
- Other info: Dynamic environment with a focus on 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.
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.
- Technical credibility from proven experience in a software engineering role
- Experience building products for the web (highly recommended)
- Hands-on experience working in an agile environment with methodologies such as Scrum or Kanban
- 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
- Experience with cloud platforms (Azure, AWS, or GCP)
- Understanding of modern DevOps practices and CI/CD pipelines
Provide technical guidance, coaching, and mentorship to engineers. 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
Engineering Manager, Data Services (Remote) employer: InterCity Partners Ltd
Contact Detail:
InterCity Partners Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager, Data Services (Remote)
✨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 involving AI technologies. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to engineering management and AI. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your experience.
✨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 genuinely interested in joining our brilliant team!
We think you need these skills to ace Engineering Manager, Data Services (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Engineering Manager role. Highlight your experience in AI technologies, agile methodologies, and project management to show us you’re the perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about building AI-powered solutions and how your leadership style can foster a culture of innovation and continuous improvement within our teams.
Showcase Your Technical Credibility: We want to see your technical chops! Include specific examples of projects where you've led teams, improved processes, or integrated new technologies. This will help us understand your hands-on experience and how you can contribute to our mission.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at InterCity Partners Ltd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies and their applications in software development. Be ready to discuss how you've used AI in past projects and how it can enhance product capabilities.
✨Show Your Leadership Skills
Prepare examples that showcase your experience in leading and mentoring engineering teams. Think about specific situations where you fostered a culture of continuous improvement and innovation, as this will resonate well with the interviewers.
✨Get Agile Savvy
Since the role involves running agile project management processes, be prepared to talk about your experience with methodologies like Scrum or Kanban. Share how you've successfully managed projects and adapted plans based on team performance and feedback.
✨Data-Driven Decision Making
Highlight your analytical skills by discussing how you've used data to drive decisions in previous roles. Be ready to provide examples of how you've improved team quality and performance through data insights.