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- Tasks: Lead a dynamic engineering team and shape the future of AI in Facilities Management.
- Company: Join a forward-thinking company focused on innovation and collaboration.
- Benefits: Enjoy a competitive salary, remote work flexibility, and extensive professional development opportunities.
- Why this job: Make a real impact in AI while growing your career in a supportive environment.
- Qualifications: Experience in software engineering and leadership, with a passion for AI.
- Other info: Fully remote role with a strong focus on work-life balance and personal growth.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking an exceptional Software Engineering Manager & Head of AI to lead our engineering function and drive the future of AI within our organisation. This unique role blends technical leadership, strategic AI direction, and people management. As the Software Engineering Manager, you will lead and develop a high-performing engineering team, ensuring the delivery of secure, scalable, and high-quality software solutions. As the Head of AI, you will define and execute our AI strategy, positioning us as an industry leader in the application of AI within the Facilities Management (FM) sector. This is a key leadership position with significant organisational impact, suitable for a visionary technology leader who thrives in a fast-paced environment.
What You’ll Be Doing
- Lead, coach, and develop a team of software engineers, focusing on performance, career growth, and wellbeing.
- Plan, prioritise, and oversee the delivery of engineering work to meet deadlines, quality standards, and budget expectations.
- Champion and enforce best practices in software development, including coding standards, testing, documentation, and security.
- Collaborate closely with Product, Architecture, DevOps, and wider business stakeholders to translate business needs into technical solutions.
- Own technical delivery across assigned products/platforms, managing risks, dependencies, and technical debt.
- Drive continuous improvement in engineering processes, tooling, and Agile ways of working (e.g., Scrum, CI/CD).
- Support recruitment, onboarding, and retention of engineering talent.
- Ensure compliance with UK regulations, data protection laws, and internal governance frameworks.
AI Strategy & Leadership
- Develop, define, and execute the organisation’s AI strategy, aligned with business objectives and industry evolution.
- Lead the design, deployment, and integration of AI solutions across the business.
- Identify opportunities for automation, optimisation, and service excellence through AI and data analytics.
- Build and lead a multidisciplinary AI team, fostering innovation and continuous learning.
- Drive change management and user adoption to maximise AI value and measurable business outcomes.
- Monitor AI system performance and present progress and ROI to executive leadership.
What We’re Looking For
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- Agile or software delivery certifications (e.g., Scrum Master, SAFe) — desirable.
- AWS certifications (e.g., Solutions Architect, Developer) — desirable.
- Leadership or management training — an advantage.
Technical & Professional Experience
- Proven experience leading and managing software engineering teams in a commercial environment.
- Strong hands-on development background with expertise in:
- Frontend: Next.js, React, TypeScript, Tailwind
- Backend: Python, REST APIs
- Infrastructure: AWS, Azure, Docker, Terraform
AI Expertise
- Extensive experience in AI, machine learning, or data analytics in complex environments.
- Experience delivering AI solutions in the Facilities Management, property, or real estate sectors — highly desirable.
- Strong knowledge of AI frameworks, relevant programming languages, and cloud AI platforms.
- Excellent analytical, problem-solving, and strategic thinking skills.
- Deep understanding of data governance, security, and compliance in AI applications.
Why Join Us?
- A pivotal role influencing both engineering excellence and AI innovation.
- The opportunity to shape the future of AI within the FM industry.
- A supportive, modern engineering culture focused on growth, collaboration, and autonomy.
- Fully remote role with flexibility and strong organisational support for work-life balance.
- Benefits include:
- Salary: up to £80k maximum depending on experience.
- Car Allowance: £6,936
- Private Medical: Couple
- Up to 20% bonus, depending on performance
- Electric Vehicle (Lease Scheme)
- Matched contribution pension scheme of 4.5% up to 6%
- 25 days annual leave + Bank Holidays.
- Health Cash Plan & Life assurance
- Refer a Friend reward scheme
- Discounts, vouchers, and financial aid programs
- Funded Training Sponsorship Scheme
At Arcus we are passionate about individual development which is why we are proud to offer industry leading Learning & Development opportunities to all our staff across our organisation. Don’t miss out on this great opportunity, apply today by clicking on the ‘apply’ button.
Software Engineering Manager in Redditch employer: Arcus FM
Contact Detail:
Arcus FM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering Manager in Redditch
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your leadership skills. Think about how you've led teams and delivered projects in the past, and be ready to share those stories!
✨Tip Number 3
Don’t just wait for job postings; proactively reach out to companies you admire. Express your interest in their work and see if they have any upcoming opportunities that fit your skills.
✨Tip Number 4
Apply through our website for a smoother process! It shows you're genuinely interested in joining us and helps you stand out from the crowd. Plus, we love seeing applications come directly from our site!
We think you need these skills to ace Software Engineering Manager in Redditch
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in software engineering and AI. We want to see how your skills align with our needs, so don’t hold back on showcasing your relevant achievements!
Showcase Your Leadership Skills: As a Software Engineering Manager, leadership is key! Use your application to demonstrate your experience in leading teams, coaching engineers, and driving performance. Share specific examples that 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 technical expertise and how it relates to our AI strategy.
Apply Through Our Website: 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 us you’re genuinely interested in joining our team at StudySmarter.
How to prepare for a job interview at Arcus FM
✨Know Your Tech Inside Out
As a Software Engineering Manager, you need to be well-versed in the technologies mentioned in the job description. Brush up on your knowledge of Next.js, React, Python, and AWS solutions. Be ready to discuss how you've used these technologies in past projects and how they can be applied to drive AI innovation.
✨Showcase Your Leadership Skills
This role is all about leading a team, so prepare examples that highlight your leadership style. Think about times when you've coached engineers, managed performance, or driven team success. Be specific about the outcomes and how your leadership made a difference.
✨Align with Their AI Vision
Since this position involves defining and executing an AI strategy, come prepared with ideas on how you would approach this. Research the latest trends in AI within the Facilities Management sector and be ready to discuss how you can leverage AI to optimise processes and enhance service delivery.
✨Prepare for Behavioural Questions
Expect questions that assess your problem-solving abilities and how you handle challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you articulate your thought process clearly and demonstrate your strategic thinking skills.
