ENGINEERING MANAGER
LONDON OR MANCHESTER
£80,000 - £110000
THE COMPANY
This 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—all 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 is about balancing leadership with deep technical contribution—you’ll review pull requests, write POCs, guide architectural decisions, and deploy to production twice a week.
Specifically, you can expect to be involved in the following:
* 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.
SKILLS AND EXPERIENCE
The successful Engineering Manager will have the following skills and experience:
* 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
The successful Engineering Manager will receive the following 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.