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- Tasks: Lead a dynamic team in delivering innovative Data & AI projects on time.
- Company: Totalmobile Ltd, a forward-thinking company committed to inclusivity and diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Join a diverse team where every voice is valued and supported.
- Why this job: Make a real impact in the exciting world of Data & AI within a supportive environment.
- Qualifications: Experience in SaaS and a solid understanding of data and AI concepts.
The predicted salary is between 60000 - 80000 £ per year.
Totalmobile Ltd is seeking a Software Engineering Manager to lead the Data & AI team. In this leadership role, you will guide a cross-functional team and ensure projects are delivered on time and aligned with product goals.
The ideal candidate will have proven experience in a SaaS environment and knowledge of data and AI concepts. Totalmobile is dedicated to supporting an inclusive workforce, valuing diverse viewpoints and experiences, making everyone feel valued and supported.
Data & AI Engineering Manager - SaaS Delivery employer: Totalmobile Ltd
Contact Detail:
Totalmobile Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Engineering Manager - SaaS Delivery
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Totalmobile. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience in SaaS and AI projects. This will help us see how you can lead our Data & AI team effectively.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to leadership and project delivery. We want to see how you handle challenges and motivate your team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you're genuinely interested in joining our inclusive workforce at Totalmobile.
We think you need these skills to ace Data & AI Engineering Manager - SaaS Delivery
Some tips for your application 🫡
Show Your Leadership Skills: When writing your application, make sure to highlight your experience in leading teams. We want to see how you've guided cross-functional teams in the past and how you ensure projects are delivered on time.
Demonstrate Your SaaS Experience: Since we're looking for someone with a solid background in a SaaS environment, be sure to include specific examples of your work in this area. We love seeing how you've tackled challenges and contributed to product goals.
Emphasise Data & AI Knowledge: Make it clear that you understand data and AI concepts. We’re keen to know how you've applied these in your previous roles, so don’t hold back on sharing relevant projects or initiatives.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Totalmobile Ltd
✨Know Your Data & AI Concepts
Make sure you brush up on key data and AI concepts relevant to the role. Be prepared to discuss how these concepts can be applied in a SaaS environment, as this will show your understanding of the industry and your ability to lead the team effectively.
✨Showcase Your Leadership Skills
Prepare examples from your past experiences where you've successfully led a cross-functional team. Highlight how you ensured projects were delivered on time and aligned with product goals, as this is crucial for the role at Totalmobile.
✨Emphasise Inclusivity and Diversity
Since Totalmobile values an inclusive workforce, think about how you can contribute to this culture. Be ready to discuss your approach to fostering diverse viewpoints and creating an environment where everyone feels valued and supported.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for the Data & AI team and how they measure success. This not only shows your interest in the role but also helps you gauge if the company aligns with your values and career goals.