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- 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 innovative ad solutions.
- Benefits: Competitive salary, hybrid work model, and impactful projects with cutting-edge tech.
- Why this job: Make a real difference in ad tech while developing your leadership 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 80000 - 110000 £ per year.
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/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.
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.
Engineering Manager in Bristol employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with relevant 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 online platforms to get comfortable with articulating your experience and skills.
✨Tip Number 3
Showcase your technical chops! Be ready to discuss your hands-on coding experience and how you've led teams in past projects. Bring examples of your work, like POCs or architectural decisions, to demonstrate your impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission to revolutionise ad fraud detection.
We think you need these skills to ace Engineering Manager in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your Python engineering experience, leadership roles, and any relevant projects that showcase your hands-on coding abilities.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Engineering Manager role. Share your passion for adtech and machine learning, and don’t forget to mention how you can contribute to our mission of optimising digital spend.
Showcase Your Technical Skills: Since this role involves a mix of leadership and technical work, be sure to include specific examples of your experience with big data, ML models, and cloud platforms like AWS. We want to see how you’ve tackled similar challenges in the past!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially in big data and machine learning. Be ready to discuss your past projects and how you've tackled challenges in these areas. The company is looking for someone who can balance hands-on coding with leadership, so be prepared to demonstrate your technical prowess.
✨Showcase Your Leadership Style
Think about your approach to managing a team. Prepare examples of how you've mentored engineers or improved processes in previous roles. This role requires a mix of leadership and technical contribution, so highlight your ability to guide a team while still being involved in the nitty-gritty of engineering.
✨Familiarise Yourself with Ad Tech
Since the company operates in the ad tech space, it’s crucial to understand the basics of ad platforms like Meta Marketing API and Google Ads API. If you have experience with these, make sure to mention it. If not, do some quick research to show your interest and willingness to learn.
✨Prepare for Scenario Questions
Expect questions that assess how you would handle specific situations, such as deploying new features or resolving team conflicts. Think through potential scenarios related to engineering management and be ready to articulate your thought process and decision-making strategies.
