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For Companies At a Glance
- Tasks: Lead a high-performing engineering team and shape AI infrastructure for the hospitality sector.
- Company: Innovative tech company focused on AI-driven solutions in a fast-paced environment.
- Benefits: Generous equity package, flexible hours, and a collaborative team culture.
- Why this job: Make a real impact by driving advanced ML-driven pricing models used globally.
- Qualifications: 3+ years in engineering leadership with strong skills in Python and cloud-native environments.
- Other info: Join a well-funded SaaS company with excellent career growth opportunities.
The predicted salary is between 72000 - 88000 £ per year.
Our client is a technology company delivering AI-first revenue optimization tools to the hospitality sector. Operating independently within a well-funded and fast-paced environment, they are now hiring a Software Engineering Manager to lead their Platform team, responsible for the infrastructure and automation that powers advanced ML-driven pricing models used by hotels worldwide.
Key Responsibilities
- Lead and mentor a small, high-performing engineering team
- Own and evolve the infrastructure that supports AI/ML predictions at scale
- Collaborate with Data Science teams to improve model deployment workflows
- Drive technical architecture to ensure platform performance and reliability
- Stay hands-on with Python, Kubernetes, and GCP
- Maintain high development standards, tooling, and CI/CD pipelines
- Work cross-functionally with product and science teams to deliver business value
Ideal Candidate
- 3+ years of engineering leadership, ideally in platform or infrastructure teams
- Strong technical foundation in cloud-native environments (GCP, Kubernetes)
- Proficient in Python, particularly within data science or ML contexts
- Ability to engage in technical discussion with Data Science teams
- Experience building scalable and resilient systems
- Hands-on technical leader who engineers look up to
- Strong communicator with a collaborative and proactive mindset
Tech Stack / Tools
- Python
- Kubernetes
- CI/CD tooling
- ML infrastructure & observability systems
Benefits
- Generous equity package
- Flexible hours with minimal in-office expectations
- Flat, collaborative team culture with strong technical autonomy
- Key role shaping foundational AI infrastructure for the hospitality sector
- Well-funded SaaS environment with global reach and impact
Software Engineering Manager in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in AI or software engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Consider creating a portfolio or GitHub repository showcasing your projects, especially those involving Python, Kubernetes, or ML. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to cloud-native environments and AI infrastructure. Practice explaining your past experiences and how they relate to the role of Software Engineering Manager.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Software Engineering Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Software Engineering Manager role. Highlight your experience with Python, Kubernetes, and GCP, and don’t forget to showcase your leadership skills. We want to see how you’ve led teams and driven technical architecture!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team. Mention your passion for AI and how your background aligns with our mission in the hospitality sector. Let’s see your personality come through!
Showcase Your Technical Skills: In your application, be sure to highlight your hands-on experience with CI/CD pipelines and ML infrastructure. We love candidates who can engage in technical discussions, so don’t hold back on sharing relevant projects or achievements!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team at StudySmarter!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Kubernetes, and GCP. Brush up on your knowledge of these technologies, as you’ll likely be asked to discuss how you’ve used them in past projects. Be ready to share specific examples that highlight your hands-on experience.
✨Showcase Your Leadership Skills
As a Software Engineering Manager, your ability to lead and mentor a team is crucial. Prepare to discuss your leadership style and provide examples of how you've successfully guided teams in the past. Think about challenges you've faced and how you overcame them while fostering a collaborative environment.
✨Understand the Business Impact
This role involves delivering business value through technical solutions. Familiarise yourself with how AI/ML can optimise revenue in the hospitality sector. Be prepared to discuss how your technical decisions can drive business outcomes and improve model deployment workflows.
✨Prepare for Technical Discussions
You’ll need to engage in technical discussions with Data Science teams, so brush up on relevant topics. Think about how you would approach cross-functional collaboration and be ready to discuss how you can bridge the gap between engineering and data science effectively.
