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- Tasks: Lead a high-performing team to build AI-driven infrastructure for smarter hotel pricing.
- Company: Join a cutting-edge AI company revolutionising the hospitality industry with data-driven solutions.
- Benefits: Enjoy a competitive salary, mostly remote work, and quarterly team meet-ups in London.
- Why this job: Be part of an innovative team making a real impact in the hospitality sector.
- Qualifications: Strong experience with Kubernetes, GCP, and Python in data science environments required.
- Other info: This role offers a blend of hands-on coding and strategic leadership opportunities.
The predicted salary is between 80000 - 120000 £ per year.
This cutting-edge AI company is transforming the hospitality industry through intelligent, data-driven solutions that help hotels optimize revenue and operations in real time. As part of a dynamic, independent division, this role will play a pivotal part in powering the predictive engine behind smarter pricing decisions.
As a Software Engineering Manager, you will lead a small, high-performing team focused on building the infrastructure that powers core AI and ML capabilities. Your work will directly enable smarter forecasting and real-time pricing for hotel partners around the world.
Specifically, you can expect to be involved in the following:
- Leading the design and maintenance of scalable infrastructure (Kubernetes, GCP) for ML-powered pricing systems
- Collaborating closely with Data Science teams to understand, support, and productionize predictive models
- Contributing hands-on to Python-based codebases, especially within data science contexts
- Providing light-touch line management to a capable and largely autonomous team
- Driving technical excellence and being the go-to technical leader within the Science Platform team
The successful Software Engineering Manager will have the following skills and experience:
- Strong recent experience with Kubernetes, auto-scaling systems, and infrastructure on GCP
- Proficiency in Python, particularly in data science and ML-driven environments
- Experience working closely with Data Science teams and understanding algorithmic workflows
- Proven ability to lead and inspire engineers through technical depth and guidance
- Comfortable being hands-on while balancing strategic leadership
The successful Software Engineering Manager will receive the following benefits:
- Salary between £100k - £110k – depending on experience
- Mostly remote work, meeting the team 1x per quarter in London
Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer Manager
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to the hospitality industry. This knowledge will not only help you understand the company's goals but also allow you to speak confidently about how your skills can contribute to their success.
✨Tip Number 2
Network with professionals in the AI and software engineering fields, particularly those who have experience in the hospitality sector. Engaging with these individuals can provide valuable insights and potentially lead to referrals that could strengthen your application.
✨Tip Number 3
Prepare to discuss your hands-on experience with Kubernetes and GCP during any interviews. Be ready to share specific examples of projects where you've successfully implemented scalable infrastructure, as this will demonstrate your technical expertise and leadership capabilities.
✨Tip Number 4
Showcase your ability to collaborate with data science teams by discussing past experiences where you’ve worked closely with them. Highlighting your understanding of algorithmic workflows will illustrate your capability to bridge the gap between engineering and data science, making you a strong candidate for this role.
We think you need these skills to ace Software Engineer Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kubernetes, GCP, and Python. Use specific examples that demonstrate your leadership in software engineering and your collaboration with data science teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and the hospitality industry. Mention how your skills align with the company's mission to optimise revenue and operations through intelligent solutions.
Showcase Technical Skills: Include a section in your application that details your technical skills, particularly in infrastructure management and machine learning. This will help the hiring team see your fit for the role at a glance.
Highlight Leadership Experience: Emphasise any previous experience leading teams or projects. Provide examples of how you have inspired and guided engineers, as this is a key aspect of the Software Engineering Manager role.
How to prepare for a job interview at Job Traffic
✨Showcase Your Technical Expertise
As a Software Engineering Manager, you'll need to demonstrate your strong experience with Kubernetes and GCP. Be prepared to discuss specific projects where you've implemented these technologies and how they contributed to the success of your team.
✨Highlight Collaboration with Data Science Teams
Since this role involves working closely with Data Science teams, share examples of how you've collaborated in the past. Discuss any predictive models you've supported or productionised, and how your contributions enhanced the overall project outcomes.
✨Balance Leadership and Hands-On Skills
The ideal candidate should be comfortable leading a team while also being hands-on. Prepare to talk about how you balance strategic leadership with technical involvement, and provide examples of how you've inspired and guided your team through challenges.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making process. Think about challenges you've faced in previous roles, particularly in managing infrastructure or leading a team, and how you overcame them.
