At a Glance
- Tasks: Lead and scale global engineering teams for an AI-first SaaS platform.
- Company: Tech-driven company in the UK with a focus on innovation.
- Benefits: Competitive pay, EMI-qualified equity, and hybrid working model.
- Why this job: Make a significant impact while mentoring top engineers in a global setting.
- Qualifications: Proven leadership experience in engineering and SaaS development.
- Other info: Gain exposure to international operations and career advancement opportunities.
The predicted salary is between 72000 - 108000 Β£ per year.
A technology-driven company in the UK is seeking a Head of Engineering responsible for leading and scaling global engineering teams. You will oversee the development of an AI-first SaaS platform, ensuring reliability and platform stability while mentoring high-performing engineers. This role offers competitive compensation, EMI-qualified equity, and a structured hybrid working model with significant leadership exposure across an international organization.
Head of AI-First Engineering for Scalable SaaS Platform in Birmingham employer: Keepnet
Contact Detail:
Keepnet Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Head of AI-First Engineering for Scalable SaaS Platform in Birmingham
β¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend tech meetups, and connect with potential colleagues on LinkedIn. The more connections we make, the better our chances of landing that dream role.
β¨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can highlight your projects, especially those related to AI and SaaS. This gives us a chance to demonstrate our skills beyond just a CV.
β¨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to engineering leadership. We should also be ready to discuss how we can contribute to building a reliable AI-first platform.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we often have insider tips and updates on roles that might not be advertised elsewhere.
We think you need these skills to ace Head of AI-First Engineering for Scalable SaaS Platform in Birmingham
Some tips for your application π«‘
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and technology shine through. We want to see how your experience aligns with our vision of an AI-first SaaS platform, so donβt hold back on sharing your insights and ideas!
Highlight Leadership Experience: As a Head of Engineering, leadership is key. Make sure to showcase your previous experiences in leading teams and mentoring engineers. Weβre looking for someone who can inspire and guide others, so share specific examples of how you've done this in the past.
Tailor Your Application: Donβt just send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. We appreciate when candidates connect their skills and experiences directly to what weβre looking for in this role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you donβt miss out on any important updates from us. Plus, itβs super easy!
How to prepare for a job interview at Keepnet
β¨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI, especially as they relate to SaaS platforms. Be prepared to discuss how you've implemented AI solutions in previous roles and how they improved performance or user experience.
β¨Showcase Your Leadership Skills
As a Head of Engineering, your ability to lead and mentor teams is crucial. Prepare examples of how you've successfully managed engineering teams, resolved conflicts, and fostered a culture of innovation and collaboration.
β¨Understand the Companyβs Vision
Research the companyβs mission and values thoroughly. Be ready to articulate how your vision aligns with theirs, particularly in terms of developing scalable and reliable AI-first solutions that meet global demands.
β¨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of engineering principles and AI technologies. Brush up on relevant frameworks and methodologies, and be ready to discuss how you would approach specific challenges in building a scalable SaaS platform.