Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead ML-driven ad optimisation projects and manage product launches.
- Company: Global advertising supply-side platform with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of advertising with cutting-edge machine learning technology.
- Qualifications: Strong technical knowledge and exceptional project management skills required.
- Other info: Join a dynamic team in a data-rich environment with great career potential.
The predicted salary is between 36000 - 60000 £ per year.
A global advertising supply-side platform is seeking a Senior Product Manager to lead Machine Learning and Optimization initiatives. The candidate will work with data to overcome challenges in ad transactions while managing product launches.
Responsibilities include:
- Collaborating with engineering teams
- Translating complex behaviours into actionable product requirements
This position requires strong technical knowledge, exceptional project management, and a proactive approach in a data-rich environment.
Senior Product Manager – ML-Driven Ad Optimization employer: Index Exchange
Contact Detail:
Index Exchange Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager – ML-Driven Ad Optimization
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in ML and ad optimisation. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Showcase your projects! Bring along examples of your past work that highlight your experience with data-driven decision making and product launches. Real-life stories resonate more than just words on paper.
✨Tip Number 3
Prepare for technical questions! Brush up on your knowledge of machine learning concepts and optimisation strategies. Being able to discuss these topics confidently will set you apart from the crowd.
✨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 Senior Product Manager – ML-Driven Ad Optimization
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product management and machine learning. We want to see how you've tackled similar challenges in the past, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've collaborated with engineering teams and managed product launches successfully.
Showcase Your Technical Skills: Since this role requires strong technical knowledge, be sure to mention any relevant tools or technologies you’ve worked with. We love seeing candidates who can bridge the gap between tech and product management!
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 team!
How to prepare for a job interview at Index Exchange
✨Know Your ML Basics
Brush up on your machine learning concepts and how they apply to ad optimisation. Be ready to discuss specific algorithms or techniques you've used in past projects, as this will show your technical knowledge and ability to translate complex behaviours into actionable insights.
✨Showcase Your Project Management Skills
Prepare examples of how you've successfully managed product launches in the past. Highlight your proactive approach and how you collaborated with engineering teams to overcome challenges. This will demonstrate your ability to handle the responsibilities of the role effectively.
✨Data-Driven Decision Making
Be prepared to discuss how you've used data to inform your product decisions. Bring examples of how you've analysed data to identify trends or issues in ad transactions, and how that led to successful outcomes. This will showcase your experience in a data-rich environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current challenges in ad optimisation and their future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their success.
