Engineering Manager

ENGINEERING MANAGER

LONDON OR MANCHESTER

£80,000 - £110000

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.

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.

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/Type Script/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.

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.

Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.