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For Companies At a Glance
- Tasks: Lead a team of engineers while coding and shaping the future of ad fraud detection.
- Company: Fast-growing UK-based SaaS scale-up focused on digital advertising solutions.
- Benefits: Competitive salary, hybrid working, and impactful projects with cutting-edge technology.
- Why this job: Make a real difference in ad tech while developing your leadership and technical skills.
- Qualifications: 5+ years in Python engineering and proven leadership experience required.
- Other info: Join a dynamic environment with opportunities for rapid career growth.
The predicted salary is between 68000 - 95000 £ per year.
Overview
The UK-based SaaS scale-up is on a mission to protect advertisers' digital spend by detecting and blocking invalid or low-value clicks. Using machine learning and real-time behavioral analytics, they help agencies and large advertisers improve ROI and reduce waste—while being cookieless and privacy-compliant. With £15M in Series A funding and integrations with major ad platforms, this is your chance to lead a high-impact engineering team in a fast-growing, data-driven environment.
The Role
As an Engineering Manager, you'll lead a team of 4 engineers while staying 50–60% hands-on with coding and architecture. You'll own the technical direction of the Platform Team, working with real ML datasets, Rubix data, and large-scale ad traffic analytics. This role balances leadership with deep technical contribution — you'll review pull requests, write POCs, guide architectural decisions, and deploy to production twice a week.
- Technical tasks: Building features for the Data Science team, launching new ML models, and improving real-time traffic tracking.
- Leadership tasks: Mentoring engineers, refining engineering processes, and collaborating with Product, Data Science, and the CPO to drive innovation.
Qualifications
- 5+ years of Python engineering experience, with a focus on big data, ML, or adtech.
- Proven leadership experience managing 2+ engineers—this is not a pure management role; you must remain hands-on.
- Strong full-stack fundamentals: Python (essential), JavaScript/TypeScript/React (understanding required, even if not writing it daily).
- Experience with large-scale datasets, AWS (Redshift is a bonus), or other cloud platforms (GCP/Azure).
- Familiarity with ad platforms (Meta Marketing API, Google Ads API) is a huge plus.
- A computer science/STEM degree is preferred, but strong self-taught candidates will be considered.
- Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key.
Benefits
- £80,000–£110,000 salary (depending on location and experience)
- Hybrid working policy: 2 days/week in-office (London/Manchester)
- High-impact work: Shape the future of ad fraud detection and optimization.
- Fast growth: Join a scale-up with a clear trajectory and work with cutting-edge ML and big data.
- Twice-weekly production deployments: See your work make an immediate difference.
How To Apply
Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.
Engineering Manager - Harnham in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - Harnham in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to engineering management. We recommend doing mock interviews with friends or using platforms that offer interview prep to boost your confidence.
✨Tip Number 3
Showcase your hands-on experience! When discussing your past projects, highlight your technical contributions and leadership moments. This will demonstrate that you can balance both roles effectively, just like the Engineering Manager position requires.
✨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 Engineering Manager - Harnham in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Engineering Manager role. Highlight your Python expertise, leadership experience, and any work with big data or ML. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about adtech and how your background makes you a perfect fit for leading our engineering team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Since this role is hands-on, don’t shy away from detailing your technical projects. Mention specific technologies you've worked with, especially in Python, AWS, or any relevant ad platforms. We love seeing real examples of your work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Jobster
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially in the context of big data and machine learning. Be ready to discuss your past projects and how you've used these technologies to solve real-world problems.
✨Show Your Leadership Style
Prepare examples that showcase your leadership experience. Think about times when you mentored engineers or improved processes. This role requires a balance of management and hands-on work, so highlight how you can do both effectively.
✨Understand the Business Impact
Familiarise yourself with the company's mission to protect advertisers' digital spend. Be prepared to discuss how your technical decisions can drive ROI and reduce waste, showing that you understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the challenges they face, and their approach to innovation. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
