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- Tasks: Lead ML-driven ad optimisation projects and manage product launches.
- Company: Global advertising supply-side platform with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of advertising technology.
- Qualifications: Strong technical knowledge and exceptional project management skills required.
- Other info: Fast-paced environment with a focus on data-driven decision making.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in ML and ad optimisation. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with product management and machine learning. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Mock interviews can be a game changer. Get a mate to throw some tough questions your way, especially around project management and technical challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Product Manager – ML-Driven Ad Optimization in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Machine Learning and product management. 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 passionate about ad optimization and how your skills align with our needs. We love seeing enthusiasm and a clear understanding of the role.
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’re looking for someone who can dive into data and make sense of it all, so let us know what you bring to the table!
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 us you’re keen to join the StudySmarter 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 lead initiatives 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.
